Ranking feature sets for emotion models used in classroom based intelligent tutoring systems

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

Volumn 6075 LNCS, Issue , 2010, Pages 135-146

  Cooper, David G ^a   Muldner, Kasia ^b   Arroyo, Ivon ^a   Woolf, Beverly Park ^a   Burleson, Winslow ^b  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFFECTIVE MODEL; AFFECTIVE STATE; BASELINE MODELS; CLASSIFICATION PERFORMANCE; EDUCATIONAL TECHNOLOGY; EMOTION MODELS; FEATURE SETS; INTELLIGENT TUTORING SYSTEM; LINEAR CLASSIFIERS; NON-PARAMETRIC; RECENT PROGRESS; SENSOR DATA; TRAINING AND TESTING; VALIDATION ANALYSIS;

COMPUTER AIDED INSTRUCTION; SCHOOL BUILDINGS; SENSORS; STUDENTS;

CLASSIFIERS;

EID: 77954607997     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13470-8_14     Document Type: Conference Paper

References (16)

1. Beebe, S.A., Ivy, D.K.: Explaining student learning: An emotion model (1994)
2. Kort, B., Reilly, R., Picard, R.: An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion. In: IEEE International Conference on Advanced Learning Technologies, Proceedings, pp. 43-46 (2001)
3. Graham, S., Weiner, B.: Theories and principles of motivation. In: Berliner, D., Calfee, R. (eds.) Handbook of Educational Psychology, vol. 4, pp. 63-84. Macmillan, New York (1996)
4. Zimmerman, B.J.: Self-efficacy: An essential motive to learn. Contemporary Educational Psychology 25, 82-91 (2000)
5. Lepper, M.R., Woolverton, M., Mumme, D.L., Gurtner, J.L.: Technology in education. In: Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors, pp. 75-105. Lawrence Erlbaum Associates, Inc., Mahwah (1993)
6. Derry, S.J., Potts, M.K.: How tutors characterize students: a study of personal constructs in tutoring. In: ICLS '96: Proceedings of the 1996 international conference on Learning sciences, International Society of the Learning Sciences, pp. 368-373 (1996)
7. Cooper, D.G., Arroyo, I., Woolf, B.P., Muldner, K., Burleson, W., Christopherson, R.: Sensors model student self concept in the classroom. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 30-41. Springer, Heidelberg (2009)
8. Guyon, I., Gunn, S., Ben-Hur, A., Dror, G.: Result analysis of the nips 2003 feature selection challenge. In: Advances in Neural Information Processing Systems (2004)
9. D'Mello, S., Picard, R.W., Graesser, A.: Toward an affect-sensitive autotutor. IEEE Intelligent Systems 22(4), 53-61 (2007)
10. Munzel, U., Hothorn, L.A.: A unified approach to simultaneous rank test procedures in the unbalanced one-way layout. Biometrical Journal 43(5), 553-569 (2001)
11. Conati, C., Maclaren, H.: Modeling user affect from causes and effects. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 4-15. Springer, Heidelberg (2009)
12. D'Mello, S.K., Craig, S.D., Graesser, A.C.: Multimethod assessment of affective experience and expression during deep learning. Int. J. Learn. Technol. 4(3/4), 165-187 (2009)
13. Hernandez, Y., Arroyo-Figueroa, G., Sucar, L.: Evaluating a probabilistic model for affective behavior in an intelligent tutoring system, pp. 408-412 (July 2008)
14. Robison, J., McQuiggan, S., Lester, J.: Evaluating the consequences of affective feedback in intelligent tutoring systems, pp. 1-6 (2009)
15. Arroyo, I., Cooper, D.G., Burleson, W., Woolf, B.P., Muldner, K., Christopherson, R.: Emotion sensors go to school. In: Dimitrova, V., Mizoguchi, R., du Boulay, B., Graesser, A.C. (eds.) AIED, vol. 200, pp. 17-24. IOS Press, Amsterdam (2009)
16. Arroyo, I., Woolf, B.P., Royer, J.M., Tai, M.: Affective gendered learning companions. In: Dimitrova, V., Mizoguchi, R., du Boulay, B., Graesser, A.C. (eds.) AIED, vol. 200, pp. 41-48. IOS Press, Amsterdam (2009)