Aligning and comparing data on emotions experienced during learning with metatutor

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7926 LNAI, Issue , 2013, Pages 61-70

  Harley, Jason M ^a   Bouchet, François ^a   Azevedo, Roger ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Affect; Emotions; Intelligent tutoring systems; Pedagogical agents

Indexed keywords

COMPUTER AIDED INSTRUCTION; STUDENTS;

AFFECT; EMOTIONS; FACIAL EXPRESSION DATA; FACIAL EXPRESSIONS; INTELLIGENT TUTORING SYSTEM; LEARNER-CENTERED; LEARNING SESSIONS; PEDAGOGICAL AGENTS;

ARTIFICIAL INTELLIGENCE;

EID: 84880004292     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39112-5_7     Document Type: Conference Paper

References (15)

1. Chauncey Strain, A., Azevedo, R., D'Mello, S.K.: Using a False Biofeed-back Methodology to Explore Relationships Among Learners' Affect, Metacognition, and Performance. Contemporary Ed. Psych. 38, 22-39 (2013)
2. Pekrun, R., Goetz, T., Frenzel-Anne, C., Petra, B., Perry, R.P.: Measuring Emotions in Students' Learning and Performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Ed. Psych. 36, 34-48 (2011)
3. D'Mello, S.K., Lehman, B., Graesser, A.: A Motivationally Supportive Affect-Sensitive AutoTutor. In: Calvo, R.A., D'Mello, S.K. (eds.) New Perspectives on Affect and Learning Tech., pp. 113-126. Springer, NY (2011)
4. Robinson, J., McGuiggan, S.W., Lester, J.: Evaluating the Consequences of Affective Feedback in ITSs. In: Cohn, J., Nijholt, A., Pantic, M. (eds.) Proceedings of the 3rd Int. Conference on Affective Computing & Intelligent Interaction, pp. 37-42. IEEE, Amsterdam (2009)
5. Woolf, B.P., Arroyo, I., Muldner, K., Burleson, W., Cooper, D.G., Dolan, R., Christopherson, R.M.: The Effect of Motivational Learning Companions on Low Achieving Students and Students with Disabilities. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010, Part I. LNCS, vol. 6094, pp. 327-337. Springer, Heidelberg (2010)
6. Calvo, R.A., D'Mello, S.K. (eds.): New Perspectives on Affect and Learning Technologies. Springer, Amsterdam (2011)
7. Gross, J.J., Barret, L.F.: Emotion Generation and Emotion Regulation: One or Two Depends on Your Point of View. Emotion Rev. 3, 8-16 (2011)
8. VicarVision: FaceReader 5.0 [Computer software]. Noldus Information Technology, Wageningen, The Netherlands (2012)
9. Azevedo, R., Behnagh, R., Duffy, M., Harley, J., Trevors, G.: Metacognition and SRL in Student-Centered Leaning Environments. In: Jonassen, D., Land, S. (eds.) Theoretical Foundations of Student-centered Learning Environments, 2nd edn., pp. 171-197. Routledge, New York (2012)
10. Ekman, P.: An Argument for Basic Emotions. Cognition & Emotion 6, 169-200 (1992)
11. Terzis, V., Moridis, C.N., Economides, A.A.: Measuring Instant Emotions During a Self-Assessment Test: The Use of FaceReader. In: Proceedings of the 7th Inter. Conf. on Methods and Techniques in Behavioral Research, pp. 18:1-18:4. ACM, New York (2010)
12. D'Mello, S.K., Lehman, B., Person, N.: Monitoring Affective States During Effortful Problem Solving Activities. International Journal of Artificial Intelligence in Education 20, 361-389 (2010)
13. Pekrun, R., Goetz, T., Titz, W., Perry, R.: Academic Achievement Emotions in Students' Self-Regulated Learning and Achievement: A Program of Quantitative and Qualitative Research. Ed. Psychologist 37, 91-206 (2002)
14. Harley, J.M., Bouchet, F., Azevedo, R.: Measuring learners' co-occurring emotional responses during their interaction with a pedagogical agent in MetaTutor. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds.) ITS 2012. LNCS, vol. 7315, pp. 40-45. Springer, Heidelberg (2012)
15. Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics, 5th edn. Pearson Education/Allyn and Bacon, Boston, MA (2007) et culture