The Cambridge Handbook of Motivation and Learning

ISBN-13: 9781316630792 / Angielski / Miękka / 2019 / 822 str.

K. Ann Renninger; Suzanne E. Hidi

Opis

Leading researchers in psychology and neuroscience have contributed chapters that provide an ideal resource on motivation and learning.

Recenzje

'Just how motivation interacts with learning and student performance is laid out from all perspectives in this authoritative Handbook. The authors have assembled superb experts from across the fields of neuroscience, psychology and education to address this important topic. This Cambridge Handbook is the ideal source on motivation and learning.' Kent Berridge, University of Michigan

Spis treści

Foreword W. Schultz; Introduction: motivation and learning S. E. Hidi and K. A. Renninger; Part I. The Self and Its Impact: 1. Self-related information processing and its potential for educational benefit Suzanne E. Hidi, K. Ann Renninger and G. Northoff; 2. Academic self-concept: its centrality in understanding motivation and learning H. W. Marsh, M. Seaton, T. Dicke, P. D. Parker and M. S. Horwood; 3. Self-efficacy in learning: past, present, and future H. S. Ahn and M. Bong; 4. Self-regulation of motivation: a renewable resource for learning C. Sansone, D. M. Geerling, D. B. Thoman and J. L. Smith; 5. Youth development programs: supporting self-motivation in project-based learning R. W. Larson, G. McGovern and C. Orson; Part II. Rewards, Incentives, and Choice: 6. Neuroscientific and psychological approaches to incentives: commonality and multifaceted views K. Murayama; 7. Incentive motivation: the missing piece between learning and behavior P. Anselme and M. J. F. Robinson; 8. Attention, information-seeking, and active sampling: empirical evidence and applications for learning A. Dey and J. Gottlieb; 9. Open digital badges and reward structures D. T. Hickey and K. Schenke; 10. The promise and peril of choosing for motivation and learning E. A. Patall and S. Y. Hooper; Part III. Interest and Internal Motivation: 11. Interest development and learning K. Ann Renninger and Suzanne E. Hidi; 12. Online affinity networks as contexts for connected learning M. Ito, C. Martin, M. Rafalow, K. S. Tekinbas, A. Wortman and R. C. Pfister; 13. Multiple points of access for supporting interest in science J. A. Alexander and K. E. Johnson; 14. Predicting academic effort: the conscientiousness x interest compensation (CONIC) model U. Trautwein and B. Roberts; 15. Reconceptualizing intrinsic motivation: excellence as goal B. Schwartz and A. Wrzesniewski; Part IV. Curiosity and Boredom: 16. Curiosity and learning: a neuroscientific perspective M. J. Gruber, A. Valji and C. Ranganath; 17. Curiosity: nature, dimensionality, and determinants J. Litman; 18. The role of curiosity in learning and motivation D. Shin, H. J. Lee, G. Lee and S. Kim; 19. Boredom T. Goetz, M. Krannich and N. C. Hall; 20. The costs and benefit of boredom in the classroom J. Mugon, J. Danckert, and J. Eastwood; Part V. Goals and Values: 21. Motivated memory: integrating cognitive and affective neuroscience K. Chiew and R. Alison Adcock; 22. Conceptualizing goals S. B. Nolen; 23. Achievement goal orientations: a person-oriented approach M. Niemivirta, A. T. Pulkka, A. Tapola and H. Tuominen; 24. Expectancy-value theory and its relevance for student motivation and learning E. Q. Rosenzweig and A. Wigfield; 25. Utility value and intervention framing E. Canning and J. M. Harackiewicz; Part VI. Methods, Measures, and Perspective: 26. Motivation and learning: measures and methods M. D. Ainley and J. Ainley; 27. Addressing the challenge of measuring student engagement J. A. Fredricks, T. Hofkens and M. T. Wang; 28. Measuring motivation in educational settings: a case for pragmatic measurement J. Kosovich, C. S. Hulleman and K. E. Barron; 29. An integrative perspective for studying motivation in relation to engagement and learning L. Linnenbrink-Garcia and S. V. Wormington; 30. Affordances and attention: learning and culture D. F. Shell and T. Flowerday.