Emotions During the Learning of Difficult Material

Psychology of Learning and Motivation - Advances in Research and Theory

Volumn 57, Issue , 2012, Pages 183-225

  Graesser, Arthur C ^a   D'Mello, Sidney ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84860649717     PISSN: 00797421     EISSN: None     Source Type: Book Series    
DOI: 10.1016/B978-0-12-394293-7.00005-4     Document Type: Chapter

References (122)

1. Arroyo I., Woolf B., Cooper D., Burleson W., Muldner K., Christopherson R. Emotion sensors go to school. Proceedings of 14th international conference on artificial intelligence in education 2009, 17-24. IOS Press, Amsterdam. V. Dimitrova, R. Mizoguchi, B. Du Boulay, A. Graesser (Eds.).
2. Atkinson R.K. Optimizing learning from examples using animated pedagogical agents. Journal of Educational Psychology 2002, 94:416-427.
3. Baker R.S., D'Mello S.K., Rodrigo M.T., Graesser A.C. Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies 2010, 68:223-241.
4. Barrett L. Are emotions natural kinds?. Perspectives on Psychological Science 2006, 1:28-58.
5. Baylor A.L., Kim Y. Simulating instructional roles through pedagogical agents. International Journal of Artificial Intelligence in Education 2005, 15:95-115.
6. Biswas G., Leelawong K., Schwartz D., Vye N., The Teachable Agents Group at Vanderbilt Learning by teaching: A new agent paradigm for educational software. Applied Artificial Intelligence 2005, 19:363-392.
7. Bloom B.S. Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain 1956, McKay, New York.
8. Boekaerts M. Understanding students' affective processes in the classroom. Emotion in education 2007, 37-56. Academic Press, San Diego, CA. P. Schutz, R. Pekrun (Eds.).
9. Bower G. How might emotions affect learning?. Handbook of emotion and memory: Research and theory 1992, 3-31. Erlbaum, Hillsdale, NJ. S.A. Christianson (Ed.).
10. Brown A., Ellery S., Campione J. Creating zones of proximal development electronically in thinking practices in mathematics and science learning. Thinking practices in mathematics and science learning 1998, 341-368. Lawrence Erlbaum, Mahwah, NJ. J. Greeno, S. Goldman (Eds.).
11. Calvo R.A., D'Mello S.K. Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing 2010, 1:18-37.
12. Chi M.T.H., Roy M., Hausmann R.G.M. Observing tutorial dialogues collaboratively: Insights about human tutoring effectiveness from vicarious learning. Cognitive Science 2008, 32:301-341.
13. Clifford M. Failure tolerance and academic risk-taking in ten- to twelve-year-old students. British Journal of Educational Psychology 1988, 58:15-27.
14. Clore G.L., Huntsinger J.R. How emotions inform judgment and regulate thought. Trends in Cognitive Sciences 2007, 11:393-399.
15. Cohen P.A., Kulik J.A., Kulik C.C. Educational outcomes of tutoring: A meta-analysis of findings. American Educational Research Journal 1982, 19:237-248.
16. Collins A., Halverson R. Rethinking education in the age of technology: The digital revolution and schooling in America 2009, Teacher College Press, New York.
17. Conati C. Probabilistic assessment of user's emotions in educational games. Journal of Applied Artificial Intelligence 2002, 16:555-575.
18. Conati C., Maclaren H. Empirically building and evaluating a probabilistic model of user affect. User Modeling and User-Adapted Interaction 2010, 19:267-303.
19. Craig S., D'Mello S., Witherspoon A., Graesser A. Emote aloud during learning with AutoTutor: Applying the facial action coding system to cognitive-affective states during learning. Cognition & Emotion 2008, 22:777-788.
20. Craig S., Graesser A., Sullins J., Gholson J. Affect and learning: An exploratory look into the role of affect in learning. Journal of Educational Media 2004, 29:241-250.
21. Csikszentmihalyi M. Flow: The psychology of optimal experience 1990, Harper-Row, New York.
22. Daniels L.M., Pekrun R., Stupnisky R.H., Haynes T.L., Perry R.P., Newall N.E. A longitudinal analysis of achievement goals: From affective antecedents to emotional effects and achievement outcomes. Journal of Educational Psychology 2009, 101:948-963.
23. Deci E., Ryan R. The paradox of achievement: The harder you push, the worse it gets. Improving academic achievement: Impact of psychological factors on education 2002, 61-87. Academic Press, Orlando, FL. J. Aronson (Ed.).
24. D'Mello S., Craig S., Sullins J., Graesser A. Predicting affective states expressed through an emote-aloud procedure from autotutor's mixed-initiative dialogue. International Journal of Artificial Intelligence in Education 2006, 16(1):3-28.
25. D'Mello S., Craig S., Fike K., Graesser A. Responding to learners' cognitive-affective states with supportive and shakeup dialogues. Human-computer interaction: Ambient, ubiquitous and intelligent interaction 2009, 595-604. Springer, Berlin/Heidelberg. J. Jacko (Ed.).
26. D'Mello S.K., Craig S.D., Graesser A.C. Multi-method assessment of affective experience and expression during deep learning. International Journal of Learning Technology 2009, 4:165-187.
27. D'Mello S., Craig S., Witherspoon A., McDaniel B., Graesser A. Automatic detection of learner's affect from conversational cues. User Modeling and User-Adapted Interaction 2008, 18:45-80.
28. D'Mello S., Dale R., Graesser A. Disequilibrium in the mind, disharmony in the body. Cognition & Emotion 2012, 26(2):362-374.
29. D'Mello S., Dowell N., Graesser A. Does it really matter whether students' contributions are spoken versus typed in an intelligent tutoring system with natural language?. Journal of Experimental Psychology: Applied 2011, 17(1):1-17.
30. D'Mello S., Graesser A. Automatic detection of learners' affect from gross body language. Applied Artificial Intelligence 2009, 23:123-150.
31. D'Mello S., Graesser A.C. Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features. User Modeling and User-adapted Interaction 2010, 20:147-187.
32. D'Mello S., Graesser A. The half-life of cognitive-affective states during complex learning. Cognition & Emotion 2011, 25:1299-1308.
33. D'Mello S., Graesser A.C. Emotions during learning with AutoTutor. Adaptive technologies for training and education 2012, Cambridge University Press, Cambridge. P.J. Durlach, A. Lesgold (Eds.).
34. D'Mello S., Graesser A. Dynamics of affective states during complex learning. Learning and Instruction 2012, 22:145-157.
35. D'Mello S., King B., Entezari O., Chipman P., Graesser A. The impact of automatic speech recognition errors on learning gains with AutoTutor 2008, March, Paper presented at the Annual meeting of the American Educational Research Association, New York.
36. D'Mello S., King B., Graesser A. Towards spoken human-computer tutorial dialogues. Human-Computer Interaction 2010, 25:289-323.
37. D'Mello S., Lehman B., Person N. Monitoring affect states during effortful problem solving activities. International Journal of Artificial Intelligence in Education 2010, 20(4):361-389.
38. D'Mello S., Lehman B., Sullins J., Daigle R., Combs R., Vogt K., et al. A time for emoting: When affect-sensitivity is and isn't effective at promoting deep learning. Proceedings of 10th international conference on intelligent tutoring systems 2010, 245-254. Springer, Berlin/Heidelberg, Germany. J. Kay, V. Aleven (Eds.).
39. D'Mello S., Picard R., Graesser A. Towards an affect-sensitive AutoTutor. Intelligent Systems, IEEE 2007, 22:53-61.
40. D'Mello S., Taylor R., Davidson K., Graesser A. Self versus teacher judgments of learner emotions during a tutoring session with AutoTutor. Proceedings of the 9th international conference on intelligent tutoring systems 2008, Springer, Berlin, Heidelberg. B. Woolf, E. Aimeur, R. Nkambou, S. Lajoie (Eds.).
41. D'Mello S., Taylor R.S., Graesser A. Monitoring affective trajectories during complex learning. Proceedings of the 29th annual cognitive science society 2007, 203-208. Cognitive Science Society, Austin, TX. D. McNamara, J. Trafton (Eds.).
42. Dweck C. Messages that motivate: How praise molds students' beliefs, motivation, and performance (in surprising ways). Improving academic achievement: Impact of psychological factors on education 2002, 61-87. Academic Press, Orlando, FL. J. Aronson (Ed.).
43. Dweck C.S. Self-Theories: Their role in motivation, personality, and development 1999, The Psychology Press, Philadelphia, PA.
44. Ekman P. An argument for basic emotions. Cognition & Emotion 1992, 6:169-200.
45. Ekman P., Friesen W. The facial action coding system: A technique for the measurement of facial movement 1978, Consulting Psychologists Press, Palo Alto.
46. Ekman P., O'Sullivan M., Frank M. A few can catch a liar. Psychological Science 1999, 3:83-86.
47. Ericsson K., Simon H. Protocol analysis: Verbal reports as data 1993, The MIT Press, Cambridge, MA.
48. Festinger L. A theory of cognitive dissonance 1957, Stanford University Press, Stanford, CA.
49. Fielder K. Affective states trigger processes of assimilation and accommodation. Theories of mood and cognition: A user's guidebook 2001, 85-98. Erlbaum, Mahwah. K. Martin, G. Clore (Eds.).
50. Franklin S. Artificial minds 1995, MIT Press, Cambridge, MA.
51. Fredrickson B., Branigan C. Positive emotions broaden the scope of attention and thought-action repertoires. Cognition & Emotion 2005, 19:313-332.
52. Frenzel A.C., Pekrun R., Goetz T. Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms. Learning and Instruction 2007, 17:478-493.
53. Graesser A.C., Chipman P., Haynes B.C., Olney A. AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Transactions in Education 2005, 48:612-618.
54. Graesser A.C., D'Mello S.K. Theoretical perspectives on affect and deep learning. New perspectives on affect and learning technologies 2011, Springer, New York. R. Calvo, S. D'Mello (Eds.).
55. Graesser A.C., D'Mello S.K., Cade W. Instruction based on tutoring. Handbook of research on learning and instruction 2011, 408-426. Routledge Press, New York. R.E. Mayer, P.A. Alexander (Eds.).
56. Graesser A.C., D'Mello S.K., Chipman P., King B., McDaniel B. Exploring relationships between affect and learning with AutoTutor. Artificial intelligence in education: Building technology rich learning contexts that work 2007, 16-23. IOS Press, Amsterdam. R. Luckin, K. Koedinger, J. Greer (Eds.).
57. Graesser A.C., D'Mello S.K., Craig S.D., Witherspoon A., Sullins J., McDaniel B., Gholson B. The relationship between affect states and dialogue patterns during interactions with AutoTutor. Journal of Interactive Learning Research 2008, 19:293-312.
58. Graesser A.C., Jackson G.T., McDaniel B. AutoTutor holds conversations with learners that are responsive to their cognitive and emotional states. Educational Technology 2007, 47:19-22.
59. Graesser A.C., Jeon M., Dufty D. Agent technologies designed to facilitate interactive knowledge construction. Discourse Processes 2008, 45:298-322.
60. Graesser A.C., Lu S., Jackson G.T., Mitchell H., Ventura M., Olney A., et al. AutoTutor: A tutor with dialogue in natural language. Behavioral Research Methods, Instruments, and Computers 2004, 36:180-193.
61. Graesser A.C., Lu S., Olde B.A., Cooper-Pye E., Whitten S. Question asking and eye tracking during cognitive disequilibrium: Comprehending illustrated texts on devices when the devices break down. Memory and Cognition 2005, 33:1235-1247.
62. Graesser A.C., Olde B.A. How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down. Journal of Educational Psychology 2003, 95:524-536.
63. Graesser A.C., Person N.K., Magliano J.P. Collaborative dialogue patterns in naturalistic one-to-one tutoring. Applied Cognitive Psychology 1995, 9:495-522.
64. Graesser A.C., Wiemer-Hastings K., Wiemer-Hastings P., Kreuz R., The Tutoring Research Group AutoTutor: A simulation of a human tutor. Cognitive Systems Research 1999, 1:35-51.
65. Gratch J., Rickel J., Andre E., Cassell J., Petajan E., Badler N. Creating interactive virtual humans: Some assembly required. IEEE Intelligent Systems 2002, 17:54-63.
66. Harter S. The relationship between perceived competence, affect, and motivational orientation within the classroom: Process and patterns of change. Achievement and motivation: A social-developmental perspective 1992, 77-114. Cambridge University Press, New York. A. Boggiano, T. Pittman (Eds.).
67. Hoque E., Morency L.-P., Picard R.W. Are you friendly or just polite? - analysis of smiles in spontaneous face-to-face interactions. Proceedings of the fourth international conference on affective computing and intelligent interaction 2011, Springer-Verlag, Berlin Heidelberg. S. D'Mello, A. Graesser, B. Schuller, J. Martin (Eds.).
68. Isen A. Some ways in which positive affect influences decision making and problem solving. Handbook of emotions 2008, 548-573. Guilford, New York, NY. 3rd ed. M. Lewis, J. Haviland-Jones, L. Barrett (Eds.).
69. Isen A., Daubman K., Nowicki G. Positive affect facilitates creative problem solving. Journal of Personality and Social Psychology 1987, 52:1122-1131.
70. Johnson L.W., Valente A. Tactical language and culture training systems: Using artificial intelligence to teach foreign languages and cultures. Proceedings of the twentieth conference on innovative applications of artificial intelligence 2008, 1632-1639. AAAI Press, Menlo Park, CA. M. Goker, K. Haigh (Eds.).
71. Jurafsky D., Martin J. Speech and language processing 2008, Prentice Hall, Englewood, NJ.
72. el Kaliouby R., Robinson P. Real-time inference of complex mental states from facial expressions and head gestures. Real-time vision for human-computer interaction 2005, 181-200. Springer, Heidelberg.
73. Kapoor A., Burleson W., Picard R. Automatic prediction of frustration. International Journal of Human Computer Studies 2007, 65:724-736.
74. Knoblich G., Ohlsson S., Raney G. An eye movement study of insight problem solving. Memory & Cognition 2001, 29(7):1000-1009.
75. Koedinger, K. R., Corbett, A. T., & Perfetti, C. (in press). The Knowledge-Learning-Instruction (KLI) framework: Bridging the science-practice chasm to enhance robust student learning. Cognitive Science.
76. Landauer T., McNamara D.S., Dennis S., Kintsch W. Handbook of latent semantic analysis 2007, Erlbaum, Mahwah, NJ.
77. Lazarus R. The cognition-emotion debate: A bit of history. Handbook of emotions 2000, 1-20. Guilford Press, New York. 2nd ed. M. Lewis, J. Haviland-Jones (Eds.).
78. Lehman B., D'Mello S., Chauncey A., Gross M., Dobbins A., Wallace P., Millis K., Graesser A.C. Inducing and tracking confusion with contradictions during critical thinking and scientific reasoning. Proceedings of the 15th international conference on artificial intelligence in education 2011, 171-178. Springer, Berlin, Heidelberg. S. Bull, G. Biswas, J. Kay, T. Mitrovic (Eds.).
79. Lehman B.A., Matthews M., D'Mello S.K., Person N. Understanding students' affective states during learning. Intelligent tutoring systems: 9th international conference 2008, Springer, Heidelberg, Germany. B.P. Woolf, E. Aimeur, R. Nkambou, S. Lajoie (Eds.).
80. Lepper M., Woolverton M. The wisdom of practice: Lessons learned from the study of highly effective tutors. Improving academic achievement: Impact of psychological factors on education 2002, 135-158. Academic Press, Orlando, FL. J. Aronson (Ed.).
81. Lewis M., Haviland-Jones J., Barrett L. Handbook of emotions 2008, Guilford Press, New York. 3rd ed.
82. Linnenbrink E. The role of affect in student learning: A multi-dimensional approach to considering the interaction of affect, motivation and engagement. Emotions in education 2007, 107-124. Academic Press, San Diego, CA. P. Schutz, R. Pekrun (Eds.).
83. Litman D.J., Forbes-Riley K. Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors. Speech Communication 2006, 48:559-590.
84. Mandler G. Mind and body: The psychology of emotion and stress 1984, W.W. Norton & Company, New York.
85. Mandler G. Mind and emotion 1976, Wiley, New York.
86. Mandler G. Emotion. Cognitive science handbook of perception and cognition 1999, Academic Press, San Diego, CA. 2nd ed. B.M. Bly, D.E. Rumelhart (Eds.).
87. McDaniel B., D'Mello S., King B., Chipman P., Tapp K., Graesser A. Facial features for affective state detection in learning environments. Proceedings of the 29th annual meeting of the cognitive science society 2007, 467-472. Cognitive Science Society, Austin, TX. D. McNamara, G. Trafton (Eds.).
88. McNamara D.S., Jackson G.T., Graesser A.C. Intelligent tutoring and games (ITaG). Gaming for classroom-based learning: Digital role-playing as a motivator of study 2010, 44-65. IGI Global, Hershey, PA. Y.K. Baek (Ed.).
89. McNamara D.S., O'Reilly T., Rowe M., Boonthum C., Levinstein I.B. iSTART: A web-based tutor that teaches self-explanation and metacognitive reading strategies. Reading comprehension strategies: Theories, interventions, and technologies 2007, 397-421. Erlbaum., Mahwah, NJ. D.S. McNamara (Ed.).
90. McQuiggan S.W., Robison J.L., Lester J.C. Affective transitions in narrative-centered learning environments. Educational Technology & Society 2010, 13:40-53.
91. McQuiggan S., Mott B., Lester J. Modeling self-efficacy in intelligent tutoring systems: An inductive approach. User Modeling and User-Adapted Interaction 2008, 18:81-123.
92. Meyer D.K., Turner J.C. Re-conceptualizing emotion and motivation to learn in classroom contexts. Educational Psychology Review 2006, 18(4):377-390.
93. Millis K., Forsyth C., Butler H., Wallace P., Graesser A., Halpern D. Operation ARIES! A serious game for teaching scientific inquiry. Serious games and edutainment applications 2011, 169-195. Springer-Verlag, London, UK. M. Ma, A. Oikonomou, J. Lakhmi (Eds.).
94. Miserandino M. Children who do well in school: Individual differences in perceived competence and autonomy in above-average children. Journal of Educational Psychology 1996, 88:203-214.
95. Moreno R., Mayer R., Spires H., Lester J. The case for social agency in computer-based teaching: Do students learn more deeply when they interact with animated pedagogical agents?. Cognition and Instruction 2001, 19(2):177-213.
96. Moreno R., Mayer R.E. Role of guidance, reflection, and interactivity in an agent-based multimedia game. Journal of Educational Psychology 2005, 97(1):117.
97. Nicaud J.-F., Bouhineau D., Chaachoua H. Mixing microworld and CAS features in building computer systems that help students learn algebra. International Journal of Computers for Mathematical Learning 2004, 9:169-211.
98. Ortony A., Clore G., Collins A. The cognitive structure of emotions 1988, Cambridge University Press, New York.
99. Otero J., Graesser A.C. PREG: Elements of a model of question asking. Cognition & Instruction 2001, 19:143-175.
100. Patrick B., Skinner E., Connell J. What motivates children's behavior and emotion - joint effects of perceived control and autonomy in the academic domain. Journal of Personality and Social Psychology 1993, 65:781-791.
101. Pekrun R. The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review 2006, 18:315-341.
102. Pekrun R., Elliot A., Maier M. Achievement goals and discrete achievement emotions: A theoretical model and prospective test. Journal of Educational Psychology 2006, 98:583-597.
103. Piaget J. The origins of intelligence 1952, International University Press, New York.
104. Picard R. Affective computing 1997, MIT Press, Cambridge, Mass.
105. Pour P.A., Hussein S., AlZoubi O., D'Mello S.K., Calvo R. The impact of system feedback on learners' affective and physiological states. Proceedings of 10th international conference on intelligent tutoring systems 2010, 264-273. Springer-Verlag, Berlin/Heidelberg. J. Kay, V. Aleven (Eds.).
106. Resnick L.B. Nested learning systems for the thinking curriculum. Educational Researcher 2010, 39:183-197.
107. Roscoe R.D., Chi M.T.H. Understanding tutor learning: Knowledge-building and knowledge-telling in peer tutors' explanations and questions. Review of Educational Research 2007, 77:534-574.
108. Rosenberg E. Levels of analysis and the organization of affect. Review of General Psychology 1998, 2:247-270.
109. Russell J. Core affect and the psychological construction of emotion. Psychological Review 2003, 110:145-172.
110. Appraisal processes in emotion: Theory, methods, research 2001, London University Press, London. K. Scherer, A. Schorr, T. Johnstone (Eds.).
111. Schutz P., Pekrun R. Emotion in education 2007, Academic Press, San Diego, CA.
112. Schwartz D., Bransford D. A time for telling. Cognition and Instruction 1998, 16:475-522.
113. Schwarz N., Skurnik I. Feeling and thinking: Implications for problem solving. The psychology of problem solving 2003, 263-290. Cambridge University Press, New York. D. J.E., S. R.J. (Eds.).
114. Selfridge O.G. Pandemonium: A paradigm for learning. Proceedings of the symposium on mechanization of thought processes 1959, 511-529. H. M. Stationary Office, London. D.V. Blake, A.M. Uttley (Eds.).
115. Shaffer D.W. How computer games help children learn 2006, Palgrave Macmillan.
116. Stein N., Hernandez M., Trabasso T. Advances in modeling emotions and thought: The importance of developmental, online, and multilevel analysis. Handbook of emotions 2008, 574-586. Guilford Press, New York. M. Lewis, J.M. Haviland-Jones, L.F. Barrett (Eds.).
117. Strain A., D'Mello S. Emotion regulation strategies during learning. Proceedings of the 15th international conference on artificial intelligence in education 2011, 566-568. Springer, Berlin, Heidelberg. S. Bull, G. Biswas, J. Kay, T. Mitrovic (Eds.).
118. Tobias S. Interest, prior knowledge, and learning. Review of Educational Research 1994, 64:37-54.
119. Topping K. The effectiveness of peer tutoring in further and higher education: A typology and review of the literature. Higher Education 1996, 32:321-345.
120. VanLehn K., Graesser A.C., Jackson G.T., Jordan P., Olney A., Rose C.P. When are tutorial dialogues more effective than reading?. Cognitive Science 2007, 31:3-62.
121. VanLehn K., Siler S., Murray C., Yamauchi T., Baggett W. Why do only some events cause learning during human tutoring?. Cognition and Instruction 2003, 21:209-249.
122. Vygotsky L.S. Mind in society 1978, Harvard University Press, Cambridge, MA.