Motivation

Resources

Ariely, D., Bracha, A., & Meier, S. (2009). Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. American Economic Review, 99(1), 544-55.

Bahlmann, J., Aarts, E., & D'Esposito, M. (2015). Influence of motivation on control hierarchy in the human frontal cortex. The Journal of Neuroscience, 35(7), 3207-3217.

Baldassarre, G., & Mirolli, M. (2013). Intrinsically motivated learning systems: an overview (pp. 1-14). Germany: Springer.

Barbier, K., Struyf, E., Verschueren, K., & Donche, V. (2022). Fostering cognitive and affective-motivational learning outcomes for high-ability students in mixed-ability elementary classrooms: a systematic review. European Journal of Psychology of Education, 1-25. https://doi.org/10.1007/s10212-022-00606-z

Barto, A. G. (2013). Intrinsic motivation and reinforcement learning. In Intrinsically motivated learning in natural and artificial systems (pp. 17-47). Germany: Springer.

Bénabou, R., & Tirole, J. (2002). Self-confidence and personal motivation. The Quarterly Journal of Economics, 117(3), 871-915.

Berridge, K. C. (2004). Motivation concepts in behavioral neuroscience. Physiology & Behavior, 81(2), 179-209.

Berridge, K. C., & Kringelbach, M. L. (2013). Neuroscience of affect: brain mechanisms of pleasure and displeasure. Current Opinion in Neurobiology, 23(3), 294-303.

Berridge, K. C. (2018). Evolving concepts of emotion and motivation. Frontiers in Psychology, 2018;9.

Better Than Yesterday. (2020). How I tricked my brain to like doing hard things (dopamine detox). [video] (14:13 minutes). Available on: How I Tricked My Brain To Like Doing Hard Things (dopamine detox)

Botvinick, M., & Braver, T. (2015). Motivation and cognitive control: from behavior to neural mechanism. Psychology, 66(1), 83.

Braver, T. S., Krug, M. K., Chiew, K. S., Kool, W., Westbrook, J. A., Clement, N. J., ... & Cools, R. (2014). Mechanisms of motivation–cognition interaction: challenges and opportunities. Cognitive, Affective, & Behavioral Neuroscience, 14(2), 443-472.

Buil, I., Catalán, S., & Martínez, E. (2019). The influence of flow on learning outcomes: An empirical study on the use of clickers. British Journal of Educational Technology, 50(1), 428-439.

Burgers, C., Eden, A., van Engelenburg, M. D., & Buningh, S. (2015). How feedback boosts motivation and play in a brain-training game. Computers in Human Behavior, 48, 94-103.

Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis. Psychological Bulletin, 140(4), 980.

Chang, Y. S. (2019). The mediating role of motivation for creative performance of cloud-based m-learning. Australasian Journal of Educational Technology.

Chemolli, E., & Gagné, M. (2014). Evidence against the continuum structure underlying motivation measures derived from self-determination theory. Psychological Assessment, 26(2), 575.

Chevallier, C., Kohls, G., Troiani, V., Brodkin, E. S., & Schultz, R. T. (2012). The social motivation theory of autism. Trends in Cognitive Sciences, 16(4), 231-239.

Clinkenbeard, P. R. (2012). Motivation and gifted students: implications of theory and research. Psychology in the Schools, 49(7), 622-630.

Corr, P. J., DeYoung, C. G., & McNaughton, N. (2013). Motivation and personality: A neuropsychological perspective. Social and Personality Psychology Compass, 7(3), 158-175.

Corbit, L. H., & Balleine, B. W. (2015). Learning and motivational processes contributing to Pavlovian–instrumental transfer and their neural bases: dopamine and beyond. In Simpson, E.H. and Balsam, P.D. (Eds.), Behavioral Neuroscience of Motivation (pp. 259-289). Cham, Switzerland: Springer International Publishing.

Daw, N. D., & Shohamy, D. (2008). The cognitive neuroscience of motivation and learning. Social Cognition, 26(5), 593-620.

de Brabander, C. J., & Martens, R. L. (2014). Towards a unified theory of task-specific motivation. Educational Research Review, 11, 27-44.

Dilokthanakul, N., Kaplanis, C., Pawlowski, N., & Shanahan, M. (2019). Feature control as intrinsic motivation for hierarchical reinforcement learning. IEEE transactions on neural networks and learning systems.

Dweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95(2), 256.

Florensa, C., Duan, Y., & Abbeel, P. (2017). Stochastic neural networks for hierarchical reinforcement learning. arXiv preprint arXiv:1704.03012.

Jeno, L. M., Adachi, P. J., Grytnes, J. A., Vandvik, V., & Deci, E. L. (2019). The effects of m‐learning on motivation, achievement and well‐being: A Self‐Determination Theory approach. British Journal of Educational Technology, 50(2), 669-683.

Kaplan, F., & Oudeyer, P. Y. (2007). In search of the neural circuits of intrinsic motivation. Frontiers in Neuroscience, 1, 17.

Kulkarni, T. D., Narasimhan, K., Saeedi, A., & Tenenbaum, J. (2016). Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation. In Advances in neural information processing systems (pp. 3675-3683).

Kuppens, P., Tuerlinckx, F., Russell, J. A., & Barrett, L. F. (2013). The relation between valence and arousal in subjective experience. Psychological Bulletin, 139(4), 917.

Law, K. M., Geng, S., & Li, T. (2019). Student enrollment, motivation and learning performance in a blended learning environment: The mediating effects of social, teaching, and cognitive presence. Computers & Education.

Legault, L., & Inzlicht, M. (2013). Self-determination, self-regulation, and the brain: Autonomy improves performance by enhancing neuroaffective responsiveness to self-regulation failure. Journal of Personality and Social Psychology, 105(1), 123.

Levine, D. S., & Leven, S. J. (2014). Motivation, emotion, and goal direction in neural networks. New York, NY: Psychology Press.

Lieberman, D.Z: (2017). Dopamine: Driving your brain into the future. [video]. (13:47 minutes). Ted Talk.  Available on: Dopamine: Driving Your Brain into the Future | Daniel Z. Lieberman | TEDxWilmingtonWomen

Lorist, M. M., Bezdan, E., ten Caat, M., Span, M. M., Roerdink, J. B., & Maurits, N. M. (2009). The influence of mental fatigue and motivation on neural network dynamics; an EEG coherence study. Brain Research, 1270, 95-106.

Luciana, M., & Collins, P. F. (2012). Incentive motivation, cognitive control, and the adolescent brain: Is it time for a paradigm shift?. Child Development Perspectives, 6(4), 392-399.

Luna, B., Paulsen, D. J., Padmanabhan, A., & Geier, C. (2013). Cognitive control and motivation. Current Directions in Psychological Science, 22(2), 94-100.

McCall, C., & Singer, T. (2012). The animal and human neuroendocrinology of social cognition, motivation and behavior. Nature neuroscience, 15(5), 681-688.

McDermott, J. M., & Egwuatu, A. C. (2019). More than a face: Neural markers of motivated attention toward social and non-social reward-related images in children. Biological Psychology, 140, 1-8.

Miller, E. M., Shankar, M. U., Knutson, B., & McClure, S. M. (2014). Dissociating motivation from reward in human striatal activity. Journal of Cognitive Neuroscience, 26(5), 1075-1084.

Mystakidis, S., & Berki, E. (2019). The case of literacy motivation: Playful 3D immersive learning environments and problem-focused education for blended digital storytelling. In Virtual reality in education: Breakthroughs in research and practice (pp. 259-274). IGI Global.

Nugent, M. (2012). Motivation theories (chapter 5). [video] ().43:18 minutes). Available on: https://www.youtube.com/watch?v=8iVpF81xrYM

Oluwajana, D., Idowu, A., Nat, M., Vanduhe, V., & Fadiya, S. (2019). The adoption of students’ hedonic motivation system model to gamified learning environment. Journal of Theoretical and Applied Electronic Commerce Research, 14(3), 156-167.

Proudfit, G. H., Inzlicht, M., & Mennin, D. S. (2013). Anxiety and error monitoring: the importance of motivation and emotion.

Rheinberg, F., & Engeser, S. (2018). Intrinsic motivation and flow. In Motivation and action (pp. 579-622). Springer, Cham.

Richard, J. M., Castro, D. C., DiFeliceantonio, A. G., Robinson, M. J., & Berridge, K. C. (2013). Mapping brain circuits of reward and motivation: in the footsteps of Ann Kelley. Neuroscience & Biobehavioral Reviews, 37(9), 1919-1931.

Robinson, L. J., Stevens, L. H., Threapleton, C. J., Vainiute, J., McAllister-Williams, R. H., & Gallagher, P. (2012). Effects of intrinsic and extrinsic motivation on attention and memory. Acta Psychologica, 141(2), 243-249.

Robinson, M. J. F., Fischer, A. M., Ahuja, A., Lesser, E. N., & Maniates, H. (2015). Roles of “wanting” and “liking” in motivating behavior: gambling, food, and drug addictions. In Simpson, E.H. and Balsam, P.D. (Eds.), Behavioral Neuroscience of Motivation (pp. 105-136). Cham, Switzerland: Springer International Publishing.

Ryan, R. M. (Ed.). (2012). The Oxford handbook of human motivation. New York, NY: Oxford University Press.

Schmidt, L., Lebreton, M., Cléry-Melin, M. L., Daunizeau, J., & Pessiglione, M. (2012). Neural mechanisms underlying motivation of mental versus physical effort. PLoS Biol, 10(2), e1001266.

Schunk, D. H. (2012). Chapter 8: Motivation. In Learning theories: an educational perspective (6thEdition) (pp. 345-398). Boston, MA: Pearson.

Spielberg, J. M., Heller, W., & Miller, G. A. (2013). Hierarchical brain networks active in approach and avoidance goal pursuit. Frontiers in Human Neuroscience, 7, 284-284.

Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A., & Fergus, R. (2017). Intrinsic motivation and automatic curricula via asymmetric self-play. arXiv preprint arXiv:1703.05407.

Tanneberg, D., Peters, J., & Rueckert, E. (2019). Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural Networks, 109, 67-80.

Taormina, R. J., & Gao, J. H. (2013). Maslow and the motivation hierarchy: Measuring satisfaction of the needs. The American Journal of Psychology,126(2), 155-177.

Tavani, C. M., & Losh, S. C. (2003). Motivation, self-confidence, and expectations as predictors of the academic performances among our high school students. Child Study Journal, 33(3), 141-152.University of California Television. (2012). Motivation to pursue dreams and hopes: Understanding the brain's reward system. [video]. (1:27:09). Available on: https://www.youtube.com/watch?v=dD-eQ8Poc-k

Taylor, S. F., Welsh, R. C., Wager, T. D., Phan, K. L., Fitzgerald, K. D., & Gehring, W. J. (2004). A functional neuroimaging study of motivation and executive function. Neuroimage, 21(3), 1045-1054.

Tops, M., Quirin, M., Boksem, M. A., & Koole, S. L. (2017). Large-scale neural networks and the lateralization of motivation and emotion. International Journal of Psychophysiology, 119, 41-49.

Urban, T. (2016). Inside the mind of a master procrastinator- [video] (14:03 minutes). Ted Talk. Available on: Inside the mind of a master procrastinator | Tim Urban

Westbrook, A., & Frank, M. (2018). Dopamine and proximity in motivation and cognitive control. Current Opinion in Behavioral Sciences, 22, 28-34.

Other Resources

Addison, S. (2014). Motivational theories - Maslow, Herzberg & Taylor. [video]. (02:11 minutes). Available at https://www.youtube.com/watch?v=EhVURPcX3L4&feature=youtube_gdata_player

Ariely, D. (2012, August 29). Predictably Irrational - basic human motivations. TEDxMidwest. [Video file]. Retrieved from Predictably Irrational - basic human motivations: Dan Ariely at TEDxMidwest

Bhatt, K. (2018). 3 minutes of the best motivation for students to study hard. [video]. (3:34 minutes). Available on: 3 Minutes of THE BEST Motivation For Students to Study Hard For Exams

 Neuroscientifically Challenged. (2015). 2-minute neuroscience reward system. [video]. (2:03 minutes). Available on: 2-Minute Neuroscience: Reward System

Date of last update: 14-Dec-2022 CB

This resource is protected under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.