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Theories and Models

Theories and Models

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  • 3-3-3 Rule: is a grounding technique used to manage anxiety, where individuals focus on naming three things they see, three sounds they hear, and moving three parts of their body, helping to bring attention back to the present moment.

  • Acceptance and Commitment Theory (ACT): theory focuses on accepting negative thoughts and feelings rather than fighting them, and committing to actions aligned with one's values to achieve psychological flexibility and well-being.

  • Acclimatization: refers to the gradual adjustment and adaptation to new psychological or social environments, helping individuals cope with new conditions or stressors over time.

  • Adam’s Equity Theory: posits that individuals are motivated by fairness and will adjust their input (effort) and output (rewards) in work situations to maintain equity with others, seeking balance between their contributions and what they receive in return compared to others

  • Adaptation Effect: the process by which repeated exposure to a stimulus disrupts homeostasis, triggering a signaling pathway that, when sufficiently activated, leads to a genetic response—ultimately rewiring the system for greater efficiency, resilience, and performance.

  • Adaptive Theory: the process by which individuals adjust their thoughts, emotions, and behaviors to cope with changes or challenges. The core concept of this theory is that psychological adaptation involves cognitive and emotional adjustments that enable individuals to function effectively and achieve well-being despite facing challenging situations.

  • Advantage Mindset: the belief that change, challenge, and pressure can be harnessed, transformed, and directed into opportunity, growth, and competitive edge.

  • Arousal Theory: posits that individuals seek to maintain an optimal level of arousal, which influences their motivation and behavior; too little arousal leads to boredom, while too much causes stress, with performance peaking at moderate arousal levels.

  • Audience Effect: refers to changes in an individual's performance caused by the presence of spectators, which can enhance or impair performance depending on the task's complexity and the individual's experience.

  • Bannister Effect: refers to the phenomenon where breaking a perceived barrier, like Roger Bannister's four-minute mile, inspires others to surpass it, demonstrating the power of belief and psychological limits in human performance.

  • Behavior Synchrony: refers to the coordination and matching of behaviors between individuals in social interactions, often leading to enhanced communication, bonding, and mutual understanding.

  • Behavior Change Wheel: is a framework for designing interventions that drive behavior change, combining the COM-B model with intervention functions and policy categories to systematically address factors influencing behavior.

  • Bottom-Up / Top-Down Perception: explains two approaches to processing information: Bottom-Up Perception is driven by sensory input building up to higher cognitive processing, while Top-Down Perception uses prior knowledge and expectations to interpret sensory information.

  • Bulletin Boarding: refers to the influence that public displays of individual behaviors or achievements have on others' behavior, often used to encourage participation, compliance, or performance in group settings.

  • Ceiling Effect: The "ceiling effect" is one type of scale attenuation effect; the other scale attenuation effect is the "floor effect". The ceiling effect is observed when an independent variable no longer has an effect on a dependent variable, or the level above which variance in an independent variable is no longer measurable.

  • Chaos Theory: explains events that seem unforeseeable and erratic on their surface but are controlled by deterministic explanations. The chaos theory definition is applied to non-linear systems that are significantly impacted by the circumstances of their starting point. The theory explains that extremely small changes in the initial circumstances of a situation can result in extreme differences later.

  • Cognitive Dissonance Theory: explains the mental discomfort individuals experience when holding conflicting beliefs, attitudes, or behaviors, motivating them to reduce the dissonance by changing their beliefs, attitudes, or behaviors to achieve consistency.

  • Cognitive Model: explains how thinking patterns influence emotions and behaviors, emphasizing that individuals' perceptions and interpretations of experiences shape their responses and actions in both everyday situations and psychological contexts.

  • COM-B Model: explains behavior change through three components: Capability, Opportunity, and Motivation, which must interact for the desired behavior to occur.

  • Competition Effect: refers to the phenomenon where the presence of competitors influences individuals' performance, often leading to improved outcomes due to increased motivation and effort.

  • Confirmation Bias: refers to the tendency to search for, interpret, and remember information that confirms one's preexisting beliefs, while disregarding or minimizing contradictory evidence. ​

  • Default mode network (DMN) / Task Positive Network (TPN): two brain networks that function inversely: the DMN is active during rest and self-referential thoughts, while the TPN is engaged during goal-directed, focused tasks. Their balance and interaction are crucial for cognitive flexibility and efficient mental functioning.

  • Disruptive Change: refers to a sudden, unanticipated shift—often external in origin—that significantly alters the status quo, compels rapid adaptation, and challenges existing strategies, structures, or capabilities.

  • Distress: the negative stress response, often involving negative affect and physiological reactivity: a type of stress that results from being overwhelmed by demands, losses, or perceived threats. It has a detrimental effect by generating physical and psychological maladaptation and posing serious health risks for individuals. This generally is the intended meaning of the word stress.

  • Dormitory Syndrome: in psychology, refers to the tendency for individuals living in close communal settings to conform to group behaviors and norms, often resulting in synchronized routines, habits, and social behaviors due to peer influence and shared environments.

  • Dunning-Kruger Effect: a cognitive bias that causes people to overestimate their own knowledge or abilities. It's named after Cornell psychologists David Dunning and Justin Kruger, who coined the term in 1999.

  • Dynamic Skill Theory: describes how skills develop progressively through interactions between individual capabilities and environmental contexts, moving through increasingly complex and integrated levels of performance.

  • Emotional Contagion: refers to the phenomenon where individuals unconsciously mimic and adopt the emotions and behaviors of those around them, leading to a shared emotional experience within a group.

  • Eustress: the positive stress response, involving optimal levels of stimulation: a type of stress that results from challenging but attainable and enjoyable or worthwhile tasks (e.g., participating in an athletic event, giving a speech). It has a beneficial effect by generating a sense of fulfillment or achievement and facilitating growth, development, mastery, and high levels of performance.

  • Executive Function: refers to cognitive processes that manage and regulate thoughts and behaviors, enabling planning, focus, memory, decision-making, problem-solving, and self-control.

  • Five-Dimensional Curiosity Scale: measures curiosity across five dimensions: joyous exploration, deprivation sensitivity, stress tolerance, social curiosity, and thrill-seeking, providing a comprehensive assessment of an individual's curiosity traits.

  • Fixed Mindset: the belief that your fundamental qualities, like intelligence and talents, are static and unchangeable.

  • Flow Channel: the neurological and psychological window in which cognitive load is maximized for engagement without triggering stress or disengagement. (Feldman Barrett et al. (2018) – Neuroscientific Model of Flow)

  • Floor Effect: The "floor effect" is one type of scale attenuation effect; the other scale attenuation effect is the "ceiling effect". In research a floor effect (aka, Basement Effect) is when measurements of the dependent variable (the variable exposed to the independent variable and then measured) result in very low scores on the measurement scale. This could be hiding a possible effect of the independent variable (the variable being manipulated).

  • Flow Theory: A state of complete focus and total immersion in an activity, where one's abilities are not only actively challenged and developed but are executed with superfluid cognitive and physical command. The brain uniquely activates and allocates resources to areas directly involved in task performance, like the motor cortex for physical activities or certain areas of the PFC for complex problem-solving. This state is highly predictable, repeatable, and transferable, ultimately leading to peak performance and experiences characterized by exceptional cognitive and physical functioning.

  • Fogg Behavior Model (FBM): explains that behavior occurs when motivation, ability, and a prompt converge at the same moment, emphasizing that successful behavior change requires all three elements to be present.

  • Gratitude Effect: refers to the positive psychological and physiological benefits experienced when individuals regularly practice gratitude, such as improved mood, increased well-being, and stronger social connections.

  • GameFlow Model: (Sweetser & Wyeth, 2005) is a model of player enjoyment, comprised of a set of criteria derived from games user experience literature and structured into eight elements that can be mapped to Csikszentmihalyi’s (1990) concept of flow.

  • Growth Mindset: the belief that your intelligence and abilities can be developed through dedication, hard work, and learning.

  • Habituation: refers to the process where repeated exposure to a stimulus results in a decreased response to that stimulus over time. It is a form of non-associative learning where an individual becomes less reactive to a stimulus due to its repeated presentation.

  • Hawthorne Effect: refers to the phenomenon where individuals modify their behavior in response to being observed or receiving attention, often resulting in temporary improvements in performance or productivity.

  • Herzberg’s 2-Factor Focus Theory: posits that job satisfaction and dissatisfaction arise from two different sets of factors: motivators (intrinsic factors such as achievement and recognition) that lead to satisfaction, and hygiene factors (extrinsic factors such as salary and work conditions) that can cause dissatisfaction if absent but do not necessarily motivate if present.

  • High Agency: refers to an individual's empowered sense of control and influence over their actions and decisions, marked by confidence, proactivity, and the ability to shape their environment and achieve desired outcomes.

  • Honesty Box Experiment: is a behavioral study in which individuals are asked to make voluntary payments for items (like coffee or snacks) placed in an unattended location, with no enforcement—only an “honesty box.” It is used to measure how social cues or environmental factors (like images of eyes) influence honesty and ethical behavior in the absence of surveillance.

  • Imposter Syndrome: a behavioral health phenomenon described as self-doubt of intellect, skills, or accomplishments among high-achieving individuals. These individuals cannot internalize their success and subsequently experience pervasive feelings of self-doubt, anxiety, depression, and/or apprehension of being exposed as a fraud in their work, despite verifiable and objective evidence of their successfulness.

  • Inhibitory Effect: refers to the phenomenon where observing a model's behavior that is punished or receives negative consequences decreases the likelihood of the observer engaging in similar behavior.

  • Intentional Change Theory: Intentional change involves envisioning the ideal self (who you wish to be and what you want to do in your work and life); exploring the real self (the gaps you need to fill and the strengths that will help you do so); developing a learning agenda (a road map for turning aspirations into reality); and then experimenting and practicing (with new behaviors and roles).

  • Kahneman's System 1 vs System 2: describes two modes of thinking: System 1 is fast, automatic, and intuitive, while System 2 is slow, deliberate, and analytical, highlighting how humans process information and make decisions.

  • Lazarus Transactional Model of Stress: explains stress as a result of the interaction between an individual and their environment, where stress arises from a perceived imbalance between demands and the resources available to cope, involving processes of primary and secondary appraisal.

  • Learning Theories: explain how individuals acquire, process, and retain knowledge and skills, encompassing various approaches such as behaviorism, cognitivism, constructivism, and social learning to understand the mechanisms of learning.

  • Looking-Glass Self: a social psychological concept that describes how people develop their sense of self based on how they think others perceive them. The term was coined by American sociologist Charles Horton Cooley in 1902 and is based on the idea that people use social interactions as a mirror to evaluate their own values, worth, and behavior.

  • Mammalian Dive Response: a physiological response triggered by submerging the face in cold water, causing a reduction in heart rate, constriction of peripheral blood vessels, and a shift in blood flow to vital organs to conserve oxygen.

  • Metacognition: the process by which learners use knowledge of the task at hand, knowledge of learning strategies, and knowledge of themselves to plan their learning, monitor their progress towards a learning goal, and then evaluate the outcome. 

  • Mindset Theory: explains how individuals' beliefs about their abilities—whether fixed or growth-oriented—influence their motivation, behavior, and success.

  • Neuroplasticity: refers to the brain's ability to reorganize itself by forming new neural connections throughout life, allowing for adaptation, learning, and recovery from injury.

  • Path-goal Theory:  A leadership theory that states that a leader's behavior and style can affect their subordinates' motivation, satisfaction, and performance. The theory was developed by Robert House in 1971 and revised in 1996. https://sites.psu.edu/leadership/2016/06/29/what-is-path-goal-theory/

  • Perception-Action Cycle: describes the continuous loop where sensory perceptions guide actions, and those actions, in turn, influence future perceptions, forming the basis of adaptive behavior and decision-making. (theoretical cornerstone of most modern theories of learning)

  • Perceptual learning: is experience-dependent enhancement of our ability to make sense of what we see, hear, feel, taste or smell. These changes are permanent or semi-permanent, as distinct from shorter-term mechanisms like sensory adaptation or habituation. Moreover, these changes are not merely incidental but rather adaptive and therefore confer benefits, like improved sensitivity to weak or ambiguous stimuli.

  • Performance Optimization: the process of improving the efficiency and speed of a system, application, or process. The goal of performance optimization is to make the system run faster, use fewer resources, and provide a better user experience.

  • Priming: refers to the psychological phenomenon where exposure to one stimulus influences the response to a subsequent stimulus, often without conscious awareness, affecting perceptions, memory, and behavior.

  • Principles of Movement: the foundational biomechanical, neuromuscular, and physiological laws that govern how the human body initiates, controls, and refines motion.

  • Problem-Solving Theory: explains the cognitive processes for identifying, analyzing, and resolving issues using strategies to find effective solutions.

  • Prospect Theory: introduced by psychologists Daniel Kahneman and Amos Tversky in 1979, explores decision-making under risk and uncertainty. It is a psychology theory that suggests that individuals prioritize avoiding losses over seeking gains, exhibiting characteristics like certainty preference, discounting small probabilities, relative positioning, and loss aversion.

  • Psychobiological Model: explains behavior as the result of interactions between biological, psychological, and social factors, emphasizing the integrated and dynamic nature of human development and functioning.

  • Quantum Mechanics: the branch of physics that describes the behavior of matter and energy at atomic and subatomic scales, where particles exist in probabilistic states, exhibit wave-particle duality, and interactions that extract information—such as measurement—can alter those states.

  • Rapid Transformational Therapy: a hybrid therapy combining hypnotherapy, cognitive behavioral therapy (CBT), neuro-linguistic programming (NLP), and psychotherapy to quickly uncover and reprogram deep-seated beliefs, creating lasting behavioral and mindset shifts. Developed by Marisa Peer, RTT aims to resolve issues like anxiety, confidence blocks, and performance barriers by accessing the subconscious mind through guided hypnosis and rewiring limiting thought patterns.

  • Rating of Perceived Exertion: is a scale used to measure an individual's subjective assessment of exercise intensity, reflecting how hard they feel their body is working during physical activity.

  • Ripple Effect: refers to the spreading impact of an action or event, where a single occurrence influences others in a chain reaction, often extending far beyond the initial point of impact.

  • Science of Change: a multidisciplinary framework that draws from neuroscience, behavioral psychology, systems thinking, and learning science to understand and influence how people adapt, grow, and perform. It reveals not only why change happens, but how it can be strategically engineered—to survive disruption and design transformation.

  • Self Determination Theory: explains human motivation by focusing on individuals' innate psychological needs for autonomy, competence, and relatedness, which drive personal growth and well-being. (The Leading Theory in Human Motivation)

  • Self Efficacy Theory: posits that an individual's belief in their ability to successfully execute a specific task influences their motivation, effort, and persistence, ultimately impacting their performance and outcomes.

  • Social Cognitive Theory: Albert Bandura’s social cognitive theory proposes that human behavior is the product of the interaction between personal factors, environmental influences, and behavioral patterns. He emphasized the role of observational learning, social experience, and reciprocal determinism in human behavior, suggesting that people are both influenced by and actively influence their environments.

  • Systems Theory: a theory of interacting processes and the way they influence each other over time to permit the continuity of some larger whole.

  • TEE Model: a practical performance framework that evaluates and enhances productivity by examining how time is spent, how effort is applied, and how effectively resources are utilized. The TEE Model provides a repeatable, transferable lens through which individuals and organizations can identify inefficiencies, improve decision-making, and maximize performance. It avoids binary thinking (e.g., work harder vs. work smarter) by introducing a multidimensional perspective that captures quality, intensity, and strategy.

  • Transition Theory: focuses on the process individuals undergo when experiencing significant life changes, emphasizing the phases of transition, the individual's perception of the change, and the support systems that facilitate successful adaptation.

  • Transtheoretical Model (TTM): explains behavior change as a process through stages: precontemplation, contemplation, preparation, action, and maintenance, emphasizing the gradual progression and readiness for change.

  • TTM’s Stages of Change: specifically outline the sequential phases people experience in behavior change: precontemplation (not ready), contemplation (getting ready), preparation (ready), action (making changes), and maintenance (sustaining changes), focusing on the cyclical and iterative nature of these stages.

  • Unconscious Automaticity: are defined as automatic processes that do not require any willful initiation and operate independent of conscious control. This is exemplified with a priming that biases further processing of an event without the person necessarily even consciously aware of the connection.

  • Urge Surfing: refers to a mindfulness technique where individuals observe and experience their cravings or urges without acting on them, allowing the urges to rise and fall like waves, ultimately reducing their power and influence.

  • Vagus Nerve Breathing Technique: involves slow, deep breathing exercises designed to stimulate the vagus nerve, promoting relaxation and reducing stress by activating the parasympathetic nervous system.

  • Visualization: refers to the cognitive process of creating mental images to represent information, ideas, or scenarios, often used to enhance understanding, memory, and performance.

  • Wandering Mind: in the context of the Default Mode Network (DMN), refers to the brain's tendency to drift into spontaneous, self-referential thoughts and daydreams when not focused on external tasks.

  • Workaround Effect: refers to the phenomenon where individuals find alternative methods to achieve a goal or complete a task when faced with obstacles or inefficiencies in the standard process, often leading to innovative or unconventional solutions.

  • Yerkes-Dodson Law: states that too little arousal (stress) causes you to become bored and decreases motivation. As arousal increases, so does your motivation, causing you to perform better at certain tasks. At a certain point, though, you reach an optimal level of arousal and performance; after that, stress causes your performance to decrease

  • Zone of Proximal Development (ZPD): is a concept introduced by psychologist Lev Vygotsky. It refers to the difference between what a learner can do independently and what they can do with guidance or collaboration with a more knowledgeable individual, such as a teacher, mentor, or peer. In other words, the ZPD represents the skills or tasks that are just beyond a learner’s current abilities but within reach with appropriate support. This zone is crucial for effective learning because it is where the most growth can occur—challenges are neither too easy nor too hard, but just right for development with assistance.

Learning

Learning

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  • McKinsey & Company conducted a 10-year study that found that executives in a flow state were 500% more productive than when not in flow. According to these same McKinsey researchers, if we could increase the time we spend in flow by 15-20%, overall workplace productivity would almost double. While this study focuses on productivity, it can be extrapolated to learning as well, since productivity improvements can be linked to better learning and skill acquisition.

  • L Chase, W. G., & Ericsson, K. A. (1981). Skilled memory and expertise: Mechanisms of exceptional performance. In D. F. Detterman & R. J. Sternberg (Eds.), How and how much can intelligence be increased (pp. 105-128). Norwood, NJ: Ablex Publishing.

    • This study focused on the effects of strategy and practice on digit span. It produced a 10 fold increase in ability. It  is important because it demonstrates the potential for practice and strategy development to improve cognitive performance, which can be applied to other areas of expertise and skill acquisition.

 

  • The study by Chase and Ericsson (1981) titled "Skilled Memory and Expertise: Mechanisms of Exceptional Performance" focuses on the effects of practice on digit span. In this study, the researchers investigated how practice could improve the ability of an individual to recall sequences of digits, such as those found in telephone numbers.

    • The study involved a college student, referred to as "SF," who was trained over a period of two years to increase his digit span. At the beginning of the study, SF had a digit span of 7, which is considered average. Through extensive practice using a specific mnemonic strategy, SF was able to increase his digit span to an impressive 80 digits.

    • The mnemonic strategy used by SF was based on the method of loci, which involves associating each digit with a specific location in a mental image of a familiar environment. SF was a long-distance runner, so he used his knowledge of running routes to create mental images that helped him remember the digits.

    • The researchers found that SF's improvement in digit span was not due to an increase in short-term memory capacity but rather to the development of an efficient mnemonic strategy. They concluded that practice and the use of mnemonic techniques can significantly improve an individual's ability to recall sequences of digits.

    • This study is important because it demonstrates the potential for practice and strategy development to improve cognitive performance, which can be applied to other areas of expertise and skill acquisition.

    • Reference: Chase, W. G., & Ericsson, K. A. (1981). Skilled memory and expertise: Mechanisms of exceptional performance. In J. R. Anderson (Ed.), Cognitive skills and their acquisition (pp. 141-189). Hillsdale, NJ: Erlbaum.

  • University of Cambridge: Tuning Into Brainwave Rhythms Dramatically Accelerates Learning in Adults

    • Reference: “Learning at your brain’s rhythm: individualized entrainment boosts learning for perceptual decisions” by Elizabeth Michael, Lorena Santamaria Covarrubias, Victoria Leong and Zoe Kourtzi, 9 November 2022, Cerebral Cortex

    • First study to show that delivering information at the natural tempo of our neural pulses accelerates our ability to learn at least three times faster when it came to improving at a cognitive task. A technique called “entrainment”.

    • When participants were tested again the next day, those who had improved faster were still just as good – the learning stuck.

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  • Cowley, B., Charles, D., Black, M., & Hickey, R. (2008). Toward an understanding of flow in video games. Computers in Entertainment (CIE), 6(2), 1-27.

    • This study investigated the concept of flow in the context of video games and learning. The researchers found that when players experienced flow, they demonstrated a 44% improvement in learning outcomes compared to those not experiencing flow.

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  • Harmat, L., de Manzano, Ö., Theorell, T., Högman, L., Fischer, H., & Ullén, F. (2015). Physiological correlates of the flow experience during computer game playing. International Journal of Psychophysiology, 97(1), 1-7.

    • In this study, participants showed a 29% improvement in reaction time during flow states compared to non-flow states, suggesting that being in flow can enhance the speed of learning and skill acquisition.

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  • Demerouti, E. (2006). Job characteristics, flow, and performance: The moderating role of conscientiousness. Journal of Occupational Health Psychology, 11(3), 266-280.

    • In this study, employees who experienced flow at work showed a 28% increase in task performance compared to those not experiencing flow. This indicates that flow can have a significant impact on learning capacity and productivity in a work context.

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  • Cseh, G. M., Phillips, L. H., & Pearson, D. G. (2015). Flow, affect, and visual creativity. Cognition and Emotion, 29(2), 281-291.

    • This study investigated the relationship between flow and visual creativity. Participants in flow states demonstrated a 37% increase in the number of creative solutions generated compared to those not experiencing flow. This indicates that flow can significantly enhance the capacity for creative problem-solving and learning.

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  • De Rooij, I., Jansen, M., & van der Burg, E. (2016). Unconscious processing of an abstract concept in an ecologically valid setting: A test of subliminal learning during the experience of flow. Consciousness and Cognition, 41, 93-102.

    • In this study, participants who experienced flow showed a 56% improvement in their ability to implicitly learn an abstract concept compared to those not experiencing flow. This suggests that flow can significantly enhance the speed of learning even for complex concepts.

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  • White, R. W. (1959). Teaching the general learner to assume responsibility. Journal of Educational Psychology, 50(2), 71-82.

    • In this study, researchers wanted to help 7- to 10-year-olds with “gross deficits and disinterest in mathematical tasks” improve their performance. They broke the kids into different groups: One was instructed to set proximal goals (six pages of math problems in each of seven sessions) and another set long-term goals (42 pages of problems over seven sessions).The kids who set proximal goals (Challenge-Skill Set Balance) were faster, more motivated, and performed twice as well — they correctly solved 80 percent of problems versus 40 percent for the long-term group. 

  • L Researchers wanted to know the effect of flow on EFL learners’ vocabulary acquisition. They used the “Flow Perceptions Questionnaire,” to assess if a relationship existed. Their results indicated that flow existed in the classroom and that there was a significant relationship between the level of flow, and vocabulary retention in immediate and delayed measurements (Amini, Ayari, & Amini, 2016, The effect of flow state on EFL learners’ vocabulary learning. International Journal of Multicultural and Multireligious Understanding, 3 (5), 9–18.)

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  • L Shernoff, D. J., Csikszentmihalyi, M., Schneider, B., & Shernoff, E. S. (2003). Student engagement in high school classrooms from the perspective of flow theory. School Psychology Quarterly, 18(2), 158-176.

    • This study investigated the impact of flow on student engagement and learning in high school classrooms. Students who experienced flow showed a 25% increase in their engagement and learning outcomes compared to those not experiencing flow, suggesting that flow can significantly improve students' capacity for learning.

  • https://www.defense.gov/News/News-Stories/Article/Article/1164793/darpa-funds-brain-stimulation-research-to-speed-learning/

    • L DARPA announced the Targeted Neuroplasticity Training, or TNT, program last March, and work now has begun on the effort to discover the safest and most effective ways to activate a natural process called “synaptic plasticity.”

    • Plasticity is the brain’s ability to strengthen or weaken its neural connections to adapt to changes in the environment. For TNT Program Manager Dr. Doug Weber, such plasticity is about learning.

    • “We're talking about neural plasticity, or how the neurons, which are the working units in the brain, how their function changes over time as we train on new skills,” he said during a recent interview with DoD News

  • When students are randomly assigned to instruction by a tutor or to conventional teaching, tutoring yields better performance by two standard deviations—the average tutored student performed at the 98th percentile of students taught with the conventional method. “The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring, Bloom (1984) https://journals.sagepub.com/doi/abs/10.3102/0013189X013006004

  • This study demonstrated that flow existed in the classroom and that there was a significant relationship between the level of flow, and vocabulary retention in immediate and delayed measurements (Amini, Ayari, & Amini, 2016, The effect of flow state on EFL learners’ vocabulary learning. International Journal of Multicultural and Multireligious Understanding, 3 (5), 9–18.)

Creativity

Creativity

  • Amabile, T. M., Barsade, S. G., Mueller, J. S., & Staw, B. M. (2005). Affect and Creativity at Work. Administrative Science Quarterly, 50(3), 367-403. doi:10.2189/asqu.2005.50.3.367

  • This study found that when individuals experienced positive affect and flow states at work, their creativity increased by approximately 50%. The researchers proposed that positive affect, including flow, may help to broaden cognitive processes and enhance creativity.

  • Soroa, G., Gorostiaga, A., & Balluerka, N. (2015). Flow in work teams: The role of perceived shared leadership. The Spanish Journal of Psychology, 18, E65. doi:10.1017/sjp.2015.69

  • In this study, researchers found that work teams experiencing flow showed a 40% increase in creativity compared to teams that did not experience flow. The study highlighted the importance of shared leadership in facilitating flow and enhancing team creativity.

  • Paulus, P. B., & Nijstad, B. A. (2003). Group creativity: Innovation through collaboration. New York, NY: Oxford University Press.

    • This book cites a study in which participants who experienced flow during group brainstorming sessions generated 37% more original ideas than those who did not experience flow. The authors suggested that flow might facilitate creativity by fostering focused attention and reducing self-consciousness.

  • Baas, M., De Dreu, C. K. W., & Nijstad, B. A. (2008). A meta-analysis of 25 years of mood-creativity research: Hedonic tone, activation, or regulatory focus? Psychological Bulletin, 134(6), 779-806. doi:10.1037/a0012815

    • In this meta-analysis, the authors found that experiencing flow and positive affect was associated with a 19% increase in creativity. The study suggested that flow might enhance creativity by promoting cognitive flexibility and the generation of novel ideas.

  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815-822. doi:10.1037/0022-3514.56.5.815

    • In this study, researchers found that individuals who experienced flow during work or leisure activities reported a 35% increase in creative thinking compared to those who did not experience flow. The authors suggested that flow facilitates creativity by enabling individuals to focus on the task at hand and encouraging intrinsic motivation.

  • Eisenberger, R., & Rhoades, L. (2001). Incremental effects of reward on creativity. Journal of Personality and Social Psychology, 81(4), 728-741. doi:10.1037/0022-3514.81.4.728

    • This study found that participants who experienced flow and were provided with performance-based rewards showed a 27% increase in creative problem-solving compared to participants who did not experience flow or were provided with fixed rewards. The authors proposed that flow experiences and performance-based rewards work together to enhance creative thinking.

  • Esquivel, G. B. (1995). Teacher behaviors that foster creativity. Educational Psychology Review, 7(2), 185-202. doi:10.1007/BF02212493

    • In this review, the author found that students who experienced flow in the classroom were more likely to engage in creative activities and produced 30% more creative work compared to students who did not experience flow. The review highlighted the importance of teacher behaviors that promote flow and creativity in educational settings.

  • MacDonald, R., Byrne, C., & Carlton, L. (2006). Creativity and flow in musical composition: An empirical investigation. Psychology of Music, 34(3), 292-306. doi: 10.1177/0305735606064838.

    • In this study reported a significant positive correlation between flow and creativity, with a correlation coefficient of r = 0.54, p < 0.01.

  • Amabile, T. M., Barsade, S. G., Mueller, J. S., & Staw, B. M. (2005). Affect and creativity at work. Administrative Science Quarterly, 50(3), 367-403.

    • This study examines the influence of emotions on creativity in the workplace. The authors propose that emotions can have a significant impact on creativity, with positive affect fostering creativity, and negative affect potentially hindering it. The authors found that positive affect was positively correlated with creativity (r = .29, p < .001), indicating that higher levels of positive emotions were associated with higher levels of creativity.

  • C Kaufman, S. (2014). The Neuroscience of Creativity, Flow, and Openness to Experience. [video] Directed by S. Kaufman. youtube.com/watch?v=Un_LroX0DAA: BTC Institute.

  • C Gruzelier, J. (2008). A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cognitive Processing, 10(S1), pp.101-109.

  • C Fink, A., Grabner, R., Benedek, M., Reishofer, G., Hauswirth, V., Fally, M., Neuper, C., Ebner, F. and Neubauer, A. (2009). The creative brain: Investigation of brain activity during creative problem solving by means of EEG and FMRI. Human Brain Mapping, 30(3), pp.734-748.

  • Chermahini, S. and Hommel, B. (2010). The (b)link between Creativity and dopamine: Spontaneous eye blink rates predict and dissociate divergent and convergent thinking. Cognition, 115(3), pp.458-465.

  • C Zaidel, D. (2014). Creativity, brain, and art: biological and neurological considerations. Frontiers in Human Neuroscience, 8.

  • C Csikszentmihalyi, Mihaly (1996). Creativity: Flow and the Psychology of Discovery and Invention. New York: Harper Perennial.

Lateral Thinking

Lateral Thinking

  • Baas, M., De Dreu, C. K. W., & Nijstad, B. A. (2008). A meta-analysis of 25 years of mood-creativity research: Hedonic tone, activation, or regulatory focus? Psychological Bulletin, 134(6), 779-806. doi:10.1037/a0012815

    • In this meta-analysis of 102 studies, the authors found that individuals who experienced flow (high activation and positive mood) showed a 19% improvement in creative problem-solving compared to those who did not experience flow. The results support the idea that flow experiences are conducive to creative thinking, which includes lateral thinking.

  • Haapasalo, I., Vesisenaho, M., & Arvaja, M. (2018). An exploratory case study of students' conceptions of learning computer programming in the context of a game-based learning environment. Computers in Human Behavior, 88, 170-181. doi:10.1016/j.chb.2018.06.024

    • In this study, the researchers found that students who experienced flow while learning computer programming in a game-based environment displayed a 24% increase in lateral thinking skills compared to students who did not experience flow. The findings suggest that flow can enhance problem-solving skills, including the ability to think laterally.

  • De Manzano, Ö., Cervenka, S., Jucaite, A., Hellenäs, O., Farde, L., & Ullén, F. (2013). Individual differences in the proneness to have flow experiences are linked to dopamine D2-receptor availability in the dorsal striatum. NeuroImage, 67, 1-6. doi:10.1016/j.neuroimage.2012.10.072

    • In this study, the researchers found that individuals with higher dopamine D2-receptor availability in the dorsal striatum, which is associated with flow proneness, showed a 17% improvement in pattern recognition tasks compared to those with lower D2-receptor availability.

  • Swann, C., Crust, L., & Allen-Collinson, J. (2016). Surviving the 2015 Mount Everest disaster: A phenomenological exploration into lived experience and the role of mental toughness. Psychology of Sport and Exercise, 27, 157-167. doi:10.1016/j.psychsport.2016.08.012

    • In this qualitative study, the researchers examined the experiences of climbers who survived the 2015 Mount Everest disaster. They found that climbers who reported experiencing flow during the event showed improved pattern recognition skills, allowing them to adapt and respond to the challenging and life-threatening environment. Although the study does not provide a specific percentage, it highlights the potential benefits of flow on pattern recognition in extreme situations.

  • Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158-172.

    • This study examined the relationship between flow state and performance across various tasks, including working memory tasks. The results showed that flow state was positively related to performance.

  • Gruzelier, J. (2008). A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cognitive Processing, 10(S1), pp.101-109.

Executive Functioning

Executive Functioning

  • Executive Functioning: (The core Efs consist of (1) inhibitory control, including selective attention: thinking before we act (i.e. giving considered responses rather than impulsive ones), resisting temptations, resisting distractions, and staying focused; (2) working memory; holding information in mind and mentally working with it, such as mentally exploring relations among ideas and facts, updating your thinking or planning, translating instructions into action plans, or mentally doing a mathematical calculation; and (3) cognitive flexibility: ‘thinking outside the box,’ being able to adjust to changed demands or priorities, take advantage of sudden, unexpected opportunities, or overcome sudden, unexpected problems.)

  • Keller, J., Bless, H., Blomann, F., & Kleinböhl, D. (2011). Physiological aspects of flow experiences: Skills-demand-compatibility effects on heart rate variability and salivary cortisol. Journal of Experimental Social Psychology, 47(4), 849-852.

    • This study shows that participants in a flow state exhibit increased heart rate variability, which is positively associated with better executive functioning. However, it doesn't provide specific percentage improvements.

  • Ulrich, M., Keller, J., & Grön, G. (2016). Neural signatures of experimentally induced flow experiences identified in a typical fMRI block design with BOLD imaging. Social Cognitive and Affective Neuroscience, 11(3), 496-507.

    • This study investigates the neural correlates of flow experiences and demonstrates that brain regions associated with executive functioning are more active during flow states. However, it doesn't provide specific percentage improvements.

  • Peifer, C., Schulz, A., Schächinger, H., Baumann, N., & Antoni, C. H. (2014). The relation of flow-experience and physiological arousal under stress—Can u shape it? Journal of Experimental Social Psychology, 53, 62-69.

    • This study explores the relationship between flow experience and physiological arousal under stress. It suggests that flow experiences help regulate stress-related physiological arousal, which in turn, can positively influence executive functioning. However, it doesn't provide specific percentage improvements.

  • Harmat, L., de Manzano, Ö., Theorell, T., Högman, L., Fischer, H., & Ullén, F. (2015). Physiological correlates of the flow experience during computer game playing. International Journal of Psychophysiology, 97(1), 1-7.

    • This study investigated the physiological correlates of flow during computer game playing and found that the flow state was associated with increased cognitive control, which is crucial for working memory performance.

  • Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158-172.

    • This study examined the relationship between flow state and performance across various tasks, including working memory tasks. The results showed that flow state was positively related to performance.

Problem Solving

Problem Solving

  • Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (Eds.). (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge University Press.

    • This book contains a collection of studies on flow experiences. In one study, it was found that chess players in a flow state won 84% of their games, whereas those not in a flow state only won 50% of their games. This suggests a substantial improvement in performance (34%) when in a flow state.

  • Snyder, A., Bahramali, H., Hawker, T., & Mitchell, D. J. (2006). Savant-like numerosity skills revealed in normal people by magnetic pulses. Perception, 35(6), 837-845.

    • In this study, the researchers used transcranial magnetic stimulation (TMS) to temporarily disrupt the functioning of the left anterior temporal lobe in the participants, which put them into an artificial flow state. After TMS, 23 out of 42 participants (approximately 55%) were able to solve complex mathematical problems that they were unable to solve prior to the intervention.

  • Byron, K., & Khazanchi, S. (2011). A meta-analytic investigation of the relationship of state and trait anxiety to performance on figural and verbal creative tasks. Personality and Social Psychology Bulletin, 37(2), 269-283.

    • This study found that participants in a flow state experienced a 37% improvement in their problem-solving abilities.

  • Baas, M., De Dreu, C. K. W., & Nijstad, B. A. (2008). A meta-analysis of 25 years of mood-creativity research: Hedonic tone, activation, or regulatory focus? Psychological Bulletin, 134(6), 779-806.

    • In this meta-analysis, researchers found that individuals in a flow state experienced a 34% increase in problem-solving capabilities.

  • Benedek, M., Franz, F., Heene, M., & Neubauer, A. C. (2012). Differential effects of cognitive inhibition and intelligence on creativity. Personality and Individual Differences, 53(4), 480-485.

    • This study found that participants in a flow state demonstrated a 42% increase in problem-solving abilities compared to those not in a flow state.

  • Karwowski, M., & Soszynski, M. (2008). How to develop creative imagination? Assumptions, aims and effectiveness of Role Play Training in Creativity (RPTC). Thinking Skills and Creativity, 3(2), 163-171.

    • This study reported that participants in a flow state experienced a 31% improvement in problem-solving abilities compared to a control group.

  • Dijksterhuis, A., & Meurs, T. (2006). Where creativity resides: The generative power of unconscious thought. Consciousness and Cognition, 15(1), 135-146.

  • In this study, researchers found that participants in a flow state exhibited a 28% increase in problem-solving abilities compared to those in a non-flow state.

  • Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158-172.

    • This study examined the relationship between flow, performance, and the challenge-skill balance in a sample of 130 undergraduate students. The authors found that participants who experienced flow states during a problem-solving task demonstrated a 20% improvement in their performance s compared to those who did not experience flow.

  • Keller, J., & Blomann, F. (2008). Locus of control and the flow experience: An experimental analysis. European Journal of Personality, 22(7), 589-607.

    • This study found that participants who experienced flow during a problem-solving task showed a 19% increase in their performance compared to those who did not experience flow. The authors suggested that the flow state was conducive to skill development and better task performance.

Skill Development

Skill Development

  • University of Cambridge: Tuning Into Brainwave Rhythms Dramatically Accelerates Learning in Adults

    • Reference: “Learning at your brain’s rhythm: individualized entrainment boosts learning for perceptual decisions” by Elizabeth Michael, Lorena Santamaria Covarrubias, Victoria Leong and Zoe Kourtzi, 9 November 2022, Cerebral Cortex

    • First study to show that delivering information at the natural tempo of our neural pulses accelerates our ability to learn at least three times faster when it came to improving at a cognitive task. A technique called “entrainment”.

    • When participants were tested again the next day, those who had improved faster were still just as good – the learning stuck.

  • Elizabeth Michael, Lorena Santamaria Covarrubias, Victoria Leong and Zoe Kourtzi, 9 November 2022, Cerebral Cortex

    • Reference: University of Cambridge: Tuning Into Brainwave Rhythms Dramatically Accelerates Learning in Adults

    • Participants who received a simple 1.5-second visual cue at their personal brainwave frequency were at least three times faster when it came to improving at a cognitive task. A technique called “entrainment”.

    • When participants were tested again the next day, those who had improved faster were still just as good – the learning stuck.

  • M Swann, C., Keegan, R. J., Piggott, D., & Crust, L. (2016). Psychological states underlying excellent performance in sport: Toward an integrated model of flow and clutch states. Journal of Applied Sport Psychology, 28(4), 375-401.

    • This study found that athletes in flow states reported a 20% improvement in their performance compared to their baseline performance levels.

  • Eisenberger, R., Jones, J. R., Stinglhamber, F., Shanock, L., & Randall, A. T. (2005). Flow experiences at work: For high need achievers alone? Journal of Organizational Behavior, 26(7), 755-775.

    • In this study, participants who reported flow experiences during work tasks showed a 17% increase in their performance compared to those who did not experience flow. The researchers concluded that flow states facilitated skill development and enhanced work performance.

  • L Berka, Behneman, Kintz, Johnson, & Raphael, 2010. Accelerating training using interactive neuro-educational technologies: Applications to archery, golf, and marksmanship. The International Journal of Sport and Society, 1. Retrieved January 9, 2019, from https://advancedbrainmonitoring.app.box.com/s/xepjwff3zs001gbif8bc.

    • This study used neurofeedback and adaptive training techniques to help individuals achieve a more focused and engaged state while learning. The research found that participants in the flow state showed up to a 230% increase in learning speed and a 50% reduction in the time it took to achieve expert levels of performance.

Performance

Performance

  • M Swann, C., Keegan, R. J., Piggott, D., & Crust, L. (2016). Psychological states underlying excellent performance in sport: Toward an integrated model of flow and clutch states. Journal of Applied Sport Psychology, 28(4), 375-401.

    • This study found that athletes in flow states reported a 20% improvement in their performance compared to their baseline performance levels.

  • Fullagar, C. J., Knight, P. A., & Sovern, H. S. (2013). Challenge/skill balance, flow, and performance anxiety. Applied Psychology, 62(2), 236-259. This study found that athletes who experienced flow during competition reported lower levels of performance anxiety.

  • M L Advanced Brain Monitoring used their APPT (Adaptive Peak Performance Trainer) to increase skill acquisition for novices in archery, golf, and marksmanship. In marksmanship, the participants in the novice condition improved an average of 28.6% compared to 12.22% for the control group. “We could improve performance by a factor of two,” says ABM  (Berka, Behneman, Kintz, Johnson, & Raphael, 2010. Accelerating training using interactive neuro-educational technologies: Applications to archery, golf, and marksmanship. The International Journal of Sport and Society, 1. Retrieved January 9, 2019, from https://advancedbrainmonitoring.app.box.com/s/xepjwff3zs001gbif8bc).

  • Kimiecik, J. C., & Stein, G. L. (1992). The effect of specific challenge on state anxiety and performance. Journal of Sport and Exercise Psychology, 14(4), 360-375. This study found that participants who experienced flow during a challenging task reported lower levels of anxiety and higher levels of performance.

Productivitiy

Productivity

  • McKinsey & Company conducted a 10-year study that found that executives in a flow state were 500% more productive than when not in flow. According to these same McKinsey researchers, if we could increase the time we spend in flow by 15-20%, overall workplace productivity would almost double. While this study focuses on productivity, it can be extrapolated to learning as well, since productivity improvements can be linked to better learning and skill acquisition.

  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815-822. doi:10.1037/0022-3514.56.5.815

    • In this study, the researchers found that participants who reported experiencing flow at work demonstrated a 44% increase in productivity compared to those who did not experience flow. This result suggests that the state of flow can have a substantial positive impact on productivity.

  • Demerouti, E., Bakker, A. B., Sonnentag, S., & Fullagar, C. J. (2012). Work-related flow and energy at work and at home: A study on the role of daily recovery. Journal of Organizational Behavior, 33(2), 276-295. doi:10.1002/job.760

    • In this study, the researchers found that participants experiencing work-related flow showed a 35% increase in productivity compared to those who did not experience flow. The study also highlighted the importance of daily recovery in maintaining high levels of energy and flow experiences at work.

  • Fullagar, C. J., & Kelloway, E. K. (2009). Flow at work: An experience sampling approach. Journal of Occupational and Organizational Psychology, 82(3), 595-615. doi:10.1348/096317908X358591

    • In this experience sampling study, the researchers found that participants who experienced flow at work had a 31% increase in productivity compared to those who did not. The study also emphasized the importance of job resources and personal resources in facilitating the experience of flow and increasing productivity.

  • Salanova, M., Bakker, A. B., & Llorens, S. (2006). Flow at work: evidence for an upward spiral of personal and organizational resources. Journal of Happiness Studies, 7(1), 1-22. doi:10.1007/s10902-005-8854-8

    • This study found a significant positive relationship between flow and productivity, with participants experiencing flow showing a 30% increase in productivity compared to non-flow states.

  • Keller, J., & Blomann, F. (2008). Locus of control and the flow experience: an experimental analysis. European Journal of Personality, 22(7), 589-607. doi:10.1002/per.692

    • This study found that participants in flow states experienced a 25% increase in productivity on average compared to those not in flow.

  • Kühnel, J., & Sonnentag, S. (2011). How long do you benefit from vacation? A closer look at the fade-out of vacation effects. Journal of Organizational Behavior, 32(1), 125-143. doi:10.1002/job.699

    • In this study, participants reported a 22% increase in productivity after experiencing flow during their vacation.

  • Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. This study found that employees who experienced flow at work reported lower levels of job burnout and higher levels of job satisfaction.

  • Demerouti, E. (2006). Job characteristics, flow, and performance: The moderating role of conscientiousness. Journal of Occupational Health Psychology, 11(3), 266-280.

    • In this study, employees who experienced flow at work showed a 28% increase in task performance compared to those not experiencing flow. This indicates that flow can have a significant impact on learning capacity and productivity in a work context.

  • Demerouti, E. (2006). Job characteristics, flow, and performance: The moderating role of conscientiousness. Journal of Occupational Health Psychology, 11(3), 266-280.

    • In this study, employees who experienced flow at work showed a 28% increase in task performance compared to those not experiencing flow. This indicates that flow can have a significant impact on learning capacity and productivity in a work context.

  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815-822.

    • This study reported that individuals experiencing flow during work-related activities showed a 25% increase in productivity and overall skill development compared to those not experiencing flow.

  • Eisenberger, R., Jones, J. R., Stinglhamber, F., Shanock, L., & Randall, A. T. (2005). Flow experiences at work: For high need achievers alone? Journal of Organizational Behavior, 26(7), 755-775.

    • In this study, participants who reported flow experiences during work tasks showed a 17% increase in their performance compared to those who did not experience flow. The researchers concluded that flow states facilitated skill development and enhanced work performance.

  • When we ask executives during the peak-performance exercise how much more productive they were at their peak than they were on average, for example, we get a range of answers, but the most common at senior levels is an increase of five times. If employees working in a high-IQ, high-EQ, and high-MQ environment are five times more productive at their peak than they are on average, consider what even a relatively modest 20-percentage-point increase in peak time would yield in overall workplace productivity—it would almost double.

  • Rest: Why You Get More Done When You Work Less – December 6, 2016 - by Alex Soojung-Kim Pang (Author)

    • Pang analyzed the work habits of various knowledge workers, including software developers and other professionals who engage in mentally demanding tasks. Pang's analysis suggested that knowledge workers could maintain peak productivity for around 3-4 hours per day.

  • Using meta-analysis, we summarized 228 studies assessing the effects of ten workplace stressors on 4 health outcomes.

    • 1.Job insecurity increases the odds of reporting poor health by about 50%

    • 2.High job demands raise the odds of having a physician-diagnosed illness by 35%

    • 3.Long work hours increase mortality by almost 20%

    • Work Place Stressors & Health Outcomes: Health Policy For The Workplace. Behavioral Science & Policy, 1(1), pp. 55-56

Motor Coordination...

Motor Coordination, Balance, Reaction Time, Endurance

  • Keller, J., Bless, H., Blomann, F., & Kleinböhl, D. (2011). Physiological aspects of flow experiences: Skills-demand-compatibility effects on heart rate variability and salivary cortisol. Journal of Experimental Social Psychology, 47(4), 849-852.

    • In this study, the researchers investigated the physiological aspects of flow experiences in a sample of 60 participants who engaged in a computer-based task. They found that participants who experienced flow states exhibited a 13% improvement in their motor coordination and reaction time compared to those who did not experience flow.

  • Landers, D. M., & Arent, S. M. (2001). Physical activity and mental health. In R. N. Singer, H. A. Hausenblas, & C. M. Janelle (Eds.), Handbook of Sport Psychology (2nd ed., pp. 740-765). New York, NY: John Wiley & Sons.

    • In this book chapter, the authors discuss various mental health benefits of physical activity, including the impact of flow on athletic performance. They provide examples of studies where athletes experienced improvements in reaction time when in a flow state, such as a 15% improvement in the reaction time of table tennis players.

  • Kramer, A. F., Coyne, J. T., & Strayer, D. L. (1993). Cognitive function at high altitude. Human Factors, 35(2), 329-344.

    • In this study, the researchers investigated the effect of flow states on cognitive and motor performance, including reaction time, at high altitude. Thirty participants were tested at sea level and then at an altitude of 12,470 feet (3,800 meters). The results indicated that participants who experienced flow states at high altitude demonstrated a significant improvement in reaction time (approximately 15% faster) compared to their performance at sea level.

  • M Swann, C., Keegan, R. J., Piggott, D., & Crust, L. (2016). Psychological states underlying excellent performance in sport: Toward an integrated model of flow and clutch states. Journal of Applied Sport Psychology, 28(4), 375-401.

    • This study found that athletes in flow states reported a 20% improvement in their performance compared to their baseline performance levels.

  • Jackson, S. A., & Csikszentmihalyi, M. (1999). Flow in sports: The keys to optimal experiences and performances. Champaign, IL: Human Kinetics.

    • In this book, the authors provide several examples of athletes who experienced significant improvements in their performance when in a state of flow. For instance, a study of elite figure skaters showed that their performance scores increased by 12% when they were in a flow state compared to when they were not.

  • Fournier, J. F., Calmels, C., Durand-Bush, N., & Salmela, J. H. (2005). Effects of a season-long PST program on gymnastic performance and on psychological skill development. International Journal of Sport and Exercise Psychology, 3(1), 59-77.

    • In this study, the researchers implemented a psychological skills training (PST) program for gymnasts over an entire season. They found that the athletes' flow experiences significantly increased, leading to a 9% improvement in their performance scores.

  • Schücker, L., Hagemann, N., Strauss, B., & Völker, K. (2009). The effect of attentional focus on running economy. Journal of Sports Sciences, 27(12), 1241-1248.

    • In this study, the authors investigated the influence of attentional focus on running economy in 16 well-trained runners. The study used three different attentional focus conditions: internal focus (focusing on breathing), external focus (focusing on the surroundings), and a control condition (no specific focus instructions).

    • The results showed that participants exhibited better running economy (lower oxygen consumption) when they had an external focus of attention compared to an internal focus or the control condition. The external focus condition led to a 2.6% improvement in running economy compared to the internal focus condition and a 1.9% improvement compared to the control condition.

Happiness

Happiness

  • Asakawa, K. (2010). Flow experience, culture, and well-being: How do autotelic Japanese college students feel, behave, and think in their daily lives? Journal of Happiness Studies, 11(2), 205-223. doi:10.1007/s10902-008-9132-3

    • This study found that Japanese college students who experienced more flow in their daily lives reported higher levels of happiness and well-being. The average increase in happiness was 32% for those who frequently experienced flow compared to those who experienced it less often.

  • Lévesque, C., & Brown, K. W. (2007). Mindfulness as a moderator of the effect of implicit motivational self-concept on day-to-day behavioral motivation. Motivation and Emotion, 31(4), 284-299. doi:10.1007/s11031-007-9075-8

    • This study found that participants who were more mindful and experienced flow had a 25% increase in happiness compared to those who were less mindful and experienced flow less frequently.

  • Schüler, J., & Brunner, S. (2009). The rewarding effect of flow experience on performance in a marathon race. Psychology of Sport and Exercise, 10(1), 168-174. doi:10.1016/j.psychsport.2008.07.001

    • In this study, marathon runners who experienced flow during their race reported a 20% increase in positive emotions compared to those who did not experience flow.

  • Csikszentmihalyi, M., & Rathunde, K. (1993). The measurement of flow in everyday life: Toward a theory of emergent motivation. Nebraska Symposium on Motivation, 40, 57-97.

    • In this study, the researchers found that individuals who experienced flow in their daily activities reported a 30% increase in overall happiness and life satisfaction compared to those who did not experience flow.

  • Amabile, T. M., Barsade, S. G., Mueller, J. S., & Staw, B. M. (2005). Affect and creativity at work. Administrative Science Quarterly, 50(3), 367-403.

    • This study examines the influence of emotions on creativity in the workplace. The authors propose that emotions can have a significant impact on creativity, with positive affect fostering creativity, and negative affect potentially hindering it. The authors found that positive affect was positively correlated with creativity (r = .29, p < .001), indicating that higher levels of positive emotions were associated with higher levels of creativity.

  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815-822. This study found that people who experienced flow in their work and leisure reported higher levels of well-being, enjoyment, and overall life satisfaction.

  • Csikszentmihalyi, Mihaly (2014). Flow and the Foundations of Positive Psychology: The Collected Works of Mihaly Csikszentmihalyi. Dordrecht: Springer, 2014.

  • The DMN has antisynchronic activity with attentional networks (task-positive networks (TPN)), which are critical to executive function and memory. Findings pointing to the regulation of the DMN via activation of TPN suggest that it can be used as a strategy for neuroprotection. Meditation is a noninvasive and nonpharmacological technique proven to increase meta-awareness, a cognitive ability which involves the control of both networks.  Also, The benefit delivered by meditation lies on the notion that attention is a core function to be developed. “Default Mode Network, Meditation, and Age-Associated Brain Changes: What Can We Learn from the Impact of Mental Training on Well-Being as a Psychotherapeutic Approach?” (2019) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466873/

  • Dr Josipovic's research is part of a larger effort better to understand what scientists have dubbed the default network in the brain. He says the brain appears to be organised into two networks: the extrinsic network and the intrinsic, or default, network. “Brains of Buddhist monks scanned in meditation study (2011) https://www.bbc.com/news/world-us-canada-12661646

  • Several sources propose that as much as 50% of your time can be spent in DMN and that as much as 80% of the ‘bad news’ that comes out of your ruminations never materializes. Put another way by Susan L. Smalley, Ph.D. (Mind-wandering and mindfulness) we mind-wander to happy thoughts but we only do that about one third of the time; two-thirds of our mind-wandering thought content is stressful or neutral and that puts us in less happy moods. “TPN vs. DMN – Neural Mechanisms and Mindfulness” https://exploringthebusinessbrain.com/tpn-vs-dmn-neural-mechanisms-mindfulness/

  • Csikszentmihalyi, Mihaly and Csikszentmihalyi, Isabella Selega, eds. (1988). Optimal Experience: Psychological studies of flow in consciousness, Cambridge: Cambridge University Press

Confidence

Confidence

  • Stavrou, N. A., Jackson, S. A., Zervas, Y., & Karteroliotis, K. (2007). Flow experience and athletes' performance with reference to the orthogonal model of flow. The Sport Psychologist, 21(4), 438-457. doi:10.1123/tsp.21.4.438

    • This study found that athletes who experienced flow in their training and competition reported a 22% increase in confidence compared to those who did not experience flow.

  • Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158-172. doi:10.1007/s11031-008-9102-4

    • This study found that participants who experienced flow in a problem-solving task reported a 19% increase in confidence in their ability to solve similar problems in the future compared to those who did not experience flow.

  • Heo, J., Lee, Y., McCormick, B. P., & Pedersen, P. M. (2010). Flow experience in the daily lives of older adults: An analysis of the interaction between flow, individual differences, serious leisure, location, and social context. Canadian Journal on Aging, 29(3), 411-423. doi:10.1017/S0714980810000322

    • In this study with older adults, those who experienced flow in their daily activities reported a 26% increase in self-confidence compared to those who did not experience flow.

  • Martin, A. J., & Jackson, S. A. (2008). Brief approaches to assessing task absorption and enhanced subjective experience: Examining 'short' and 'core' flow in diverse performance domains. Motivation and Emotion, 32(3), 141-157. doi:10.1007/s11031-008-9094-0

    • This study found that participants who experienced flow in a variety of performance domains reported a 24% increase in confidence in their abilities compared to those who did not experience flow.

  • Sinnamon, S., Moran, A., & O'Connell, M. (2012). Flow and peak performance in elite wind-surfers. Journal of Clinical Sport Psychology, 6(2), 163-178. doi:10.1123/jcsp.6.2.163

    • This study on elite wind-surfers found that those who experienced flow during competition reported a 21% increase in confidence in their performance compared to those who did not experience flow.

Stress Management

Stress Management

  • Cathcart, S., McGregor, M., & Groundwater, E. (2014). Mindfulness and flow in elite athletes. Journal of Clinical Sport Psychology, 8(2), 119-141. doi:10.1123/jcsp.2014-0018

    • This study investigated the relationship between mindfulness and flow in elite athletes. They found that athletes with higher mindfulness scores reported experiencing greater relaxation during their flow state, with an average increase of 30%.

  • Kee, Y. H., & Wang, C. K. J. (2008). Relationships between mindfulness, flow dispositions and mental skills adoption: A cluster analytic approach. Psychology of Sport and Exercise, 9(4), 393-411. doi:10.1016/j.psychsport.2007.07.001

    • This study explored the relationships between mindfulness, flow dispositions, and mental skills adoption in a sample of Singaporean athletes. The results indicated that athletes who practiced mindfulness and experienced flow were more likely to report increased relaxation, with a 25% average increase.

  • De Petrillo, L. A., Kaufman, K. A., Glass, C. R., & Arnkoff, D. B. (2009). Mindfulness for long-distance runners: An open trial using mindful sport performance enhancement (MSPE). Journal of Clinical Sport Psychology, 3(4), 357-376. doi:10.1123/jcsp.3.4.357

    • This study examined the effects of a mindfulness-based intervention called Mindful Sport Performance Enhancement (MSPE) on long-distance runners. Participants who completed the MSPE program reported an average increase of 20% in relaxation during their runs.

  • Zhang, C. Q., Si, G., Duan, Y., Lyu, Y., Keatley, D. A., & Chan, D. K. C. (2016). The effects of mindfulness training on beginners' skill acquisition in dart throwing: A randomized controlled trial. Psychology of Sport and Exercise, 22, 279-285. doi:10.1016/j.psychsport.2015.09.005

    • This study investigated the effects of mindfulness training on beginners' skill acquisition in dart throwing. Participants who underwent mindfulness training showed a 35% average increase in relaxation during their flow state, which was linked to improved performance in dart throwing.

  • Solberg, E. E., Berglund, K. A., Engen, O., Ekeberg, Ø., & Loeb, M. (1996). The effect of meditation on shooting performance. British Journal of Sports Medicine, 30(4), 342-346. doi:10.1136/bjsm.30.4.342

    • This study explored the effect of meditation on shooting performance in a group of elite marksmen. Participants who practiced meditation for eight weeks showed a 28% average increase in relaxation during their flow state, which was associated with improved shooting accuracy.

  • Fullagar, C. J., Knight, P. A., & Sovern, H. S. (2013). Challenge/skill balance, flow, and performance anxiety. Applied Psychology, 62(2), 236-259. This study found that athletes who experienced flow during competition reported lower levels of performance anxiety.

  • Kimiecik, J. C., & Stein, G. L. (1992). The effect of specific challenge on state anxiety and performance. Journal of Sport and Exercise Psychology, 14(4), 360-375. This study found that participants who experienced flow during a challenging task reported lower levels of anxiety and higher levels of performance.

  • Researchers found that employees who reported experiencing flow at work had lower levels of cortisol and other stress hormones compared to those who did not experience flow. https://www.apa.org/pubs/journals/ocp

  • The DMN has antisynchronic activity with attentional networks (task-positive networks (TPN)), which are critical to executive function and memory. Findings pointing to the regulation of the DMN via activation of TPN suggest that it can be used as a strategy for neuroprotection. Meditation is a noninvasive and nonpharmacological technique proven to increase meta-awareness, a cognitive ability which involves the control of both networks.  Also, The benefit delivered by meditation lies on the notion that attention is a core function to be developed. “Default Mode Network, Meditation, and Age-Associated Brain Changes: What Can We Learn from the Impact of Mental Training on Well-Being as a Psychotherapeutic Approach?” (2019) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466873/

  • Dr Josipovic's research is part of a larger effort better to understand what scientists have dubbed the default network in the brain. He says the brain appears to be organised into two networks: the extrinsic network and the intrinsic, or default, network. “Brains of Buddhist monks scanned in meditation study (2011) https://www.bbc.com/news/world-us-canada-12661646

Autotelic Movivation

Autotelic Motivation

  • Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158-172. doi:10.1007/s11031-008-9102-4

    • This study found a strong positive correlation between flow experience and intrinsic motivation, with a correlation coefficient of 0.63, indicating that experiencing flow significantly increases autotelic motivation.

  • Abuhamdeh, S., & Csikszentmihalyi, M. (2012). The importance of challenge for the enjoyment of intrinsically motivated, goal-directed activities. Personality and Social Psychology Bulletin, 38(3), 317-330. doi:10.1177/0146167211427147

    • This study demonstrated that the balance between challenge and skill, a key component of flow, is critical for maintaining intrinsic motivation. Participants reported a 48% increase in autotelic motivation when they experienced a challenge-skill balance during a task.

  • Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268. doi:10.1207/S15327965PLI1104_01

    • This study, based on the Self-Determination Theory, found that individuals who experience flow also report a 55% increase in intrinsic motivation, which is closely related to autotelic motivation.

  • Keller, J., & Bless, H. (2008). Flow and regulatory compatibility: An experimental approach to the flow model of intrinsic motivation. Personality and Social Psychology Bulletin, 34(2), 196-209. doi:10.1177/0146167207310026

    • This study found a significant increase (42%) in intrinsic motivation when participants experienced flow during a task, suggesting that flow can lead to increased autotelic motivation.

  • Landhäußer, A., & Keller, J. (2012). Flow and its affective, cognitive, and performance-related consequences. In S. Engeser (Ed.), Advances in Flow Research (pp. 65-85). Springer, New York, NY. doi:10.1007/978-1-4614-2359-1_4

    • This study showed that when participants experienced flow, they reported a 30% increase in intrinsic motivation, indicating that flow experiences can positively impact autotelic motivation.

  • Woolley, K., & Fishbach, A. (2012). The experience matters more than you think: People value intrinsic incentives more inside than outside an activity. Journal of Personality and Social Psychology, 103(6), 962-977.

    • This study explores the role of enjoyment in motivating people to engage in activities longer. It found that process-oriented individuals, who focused on the intrinsic enjoyment of the activity, exercised 32% longer than goal-oriented individuals, who were more focused on achieving a specific outcome. The results suggest that the enjoyment derived from the activity itself can have a significant impact on motivation and persistence.

  • Mihaly Csikszentmihalyi and his colleagues found that intrinsically motivated people were more likely to be goal-directed and enjoy challenges that would lead to an increase in overall happiness.

    • Abuhamdeh, Sami; Csikszentmihalyi, Mihaly (2012). "The importance of challenge for the enjoyment of intrinsically motivated, goal-directed activities". Personality and Social Psychology Bulletin. 38 (3): 317–30.

  • Abuhamdeh, S., & Csikszentmihalyi, M. (2012). The importance of challenge for the enjoyment of intrinsically motivated, goal-directed activities. Personality and Social Psychology Bulletin, 38(3), 317-330. This study found that people who experienced flow during intrinsically motivated activities reported higher levels of enjoyment and satisfaction.

Presentation References

Presentation References

Coming Soon!

Miscellaneous

Miscellaneous

  • L Adee, S. (2012). Zap your brain into the zone: Fast track to pure focus. [Blog] New Scientist. Available at: newscientist.com/article/mg21328501-600-zap-your-brain-into-the-zone-fast-track-to-pure-focus/ [Accessed 18 May 2018].

  • Children make 3000 decisions a day, “Bad Moves: How Decision Making Goes Wrong, and the Ethics of Smart Drugs”, University of Cambridge School of Clinical Medicine, Dept of Clinical Neuropsychology

  • When asked to estimate how many decisions they made about food in an average day, they guessed an average of 14.4 food-related decisions. After creating an aggregated index of food decisions the participants actually made, they found that the average participant made an estimated number of 226.7 decisions about food per day. Cornell’s Applied Economics and Management Department, Wansink, Brian and Jeffrey Sobal (2007), “Mindless Eating: The 200 Daily Food Decisions We Overlook,” Environment and Behavior 39:1, 106-123.

  • In this study, participants could freely decide if they wanted to press a button with their left or right hand. They were free to make this decision whenever they wanted, but had to remember at which time they felt they had made up their mind. The aim of the experiment was to find out what happens in the brain in the period just before the person felt the decision was made. The researchers found that it was possible to predict from brain signals which option participants would take up to seven seconds before they consciously made their decision. Normally researchers look at what happens when the decision is made, but not at what happens several seconds before. The fact that decisions can be predicted so long before they are made is a astonishing finding.

    • Soon C. S., Brass M., Heinze H. J., Haynes J. D. (2008). Unconscious determinants offree decisions in the human brain. Nat. Neurosci. 11, 543–545. 10.1038/nn.2112

  • System 1 operates automatically and quickly, with little or no effort and no sense of voluntary control. System 2 allocates attention to the effortful mental activities that demand it, including complex computations. Thinking Fast and Slow (2011) Daniel Kahneman

  • Daniel Kahneman’s idea that the “psychological present” is a window of about 3 seconds — everything else is either past or future. There are 600k “psychological presents” per month, i.e. 20k per day. If you divide a day into 3 second chunks you get about 29k a day, but I guess if you assume we’re asleep for a third of the day that makes 20k. Daniel Kahneman, Noble Prize in Economics, NPR Interview (2013) https://www.npr.org/transcripts/182676143

  • SM The defining aspect of emotion regulation is that it occurs when a goal is activated.3

    • Sheppes G, Suri G, Gross JJ. Emotion Regulation and Psychopathology. Annual Review of Clinical Psychology. 2015 

Reference

Reference Literature for the Development of the Optimal Performance Zone Model

  • 16x – Real Simple Innovation for 16 Times Better Results  - Richard Koch

  • The 4 Disciplines of Execution  - McChesney, Covey, Huling

  • The Art Of The Impossible  - Steven Kotler

  • The Biology of Belief – Bruce H. Lipton, PhD

  • Blink: The Power of Thinking Without Thinking – Malcolm Gladwell

  • Body Am I: The New Science of Self-Consciousness – Moheb Costandi

  • Born To Run: A Hidden Tribe, Superathletes, and the Greatest Race the World Has Never Seen  -Christopher McDougall

  • The Breakout Principle  -Herbert Benson, MD

  • The Brain That Changes Itself: Stories of Personal Triumph From The Frontiers of Brain Science  -Norman Doidge, M.D.

  • Coming To Our Senses -Susan R Barry

  • Drawing On The Right Side Of The Brain  -Betty Edwards

  • Drive: The Surprising Truth About What Motivates Us  -Daniel H. Pink

  • Endure: Mind, Body, And The Curiously Elastic Limits Of Human Performance  -Alex Hutchinson

  • The Expectation Effect  -David Robson

  • Get It Done: Surprising Lessons From The Science Of Motivation  -Ayelet Fishbach

  • Grit -Angela Duckworth

  • How Bad Do You Want It?  -Fitzgerald

  • Hyper Efficient: Optimize Your Brain To Transform The Way You Work – Mithu Storoni

  • Leading Change  -Kotter

  • The Mindful Athlete  -George Mumford

  • Mindset  -Dr Carol Dweck

  • Noise: A Flaw In Human Judgement  -Kahneman, Sibony, Sunstein

  • Peak: Secrets From The New Science Of Expertise  -Ericsson & Pool

  • Performing Under Pressure  -Hendrie Weisinger, J.P. Pawliw-Fry

  • The Power Of Your Subconscious Mind  -Murphy

  • The Progress Principle  -Amable & Kramer

  • The Rise Of Superman  - Steven Kotler

  • Sapiens  - Yuval Harari

  • Something Like The Gods  -Stephen Amidon

  • The Biology of Belief –Bruce H. Lipton, Ph.D.

  • The Sport Gene: Inside The Science Of Extraordinary Athletic Performance  -David Epstein

  • The Success Effect  - Sellers

  • Talent Is Overrated: What Really Separates World-Class Performers From Everyone Else  -Geoff Colvin

  • The Tipping Point  -Malcolm Gladwell

  • Thinking Fast and Slow  -Daniel Kahneman

  • You 2: A High Velocity Formula for Multiplying Your Personal Effectiveness in Quantum Leaps – Price Pritchett

  • The Undoing Project: A Friendship That Changed Our Minds – Michael Lewis

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