Implicit strategies for intelligent tutoring systems

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

Volumn 7315 LNCS, Issue , 2012, Pages 1-10

  Jraidi, Imène ^a   Chalfoun, Pierre ^a   Frasson, Claude ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Affect; Cognition; Implicit tutoring strategies; Subliminal priming; Unconscious processes

Indexed keywords

AFFECT; COGNITION; IMPLICIT TUTORING STRATEGIES; SUBLIMINAL PRIMING; UNCONSCIOUS PROCESSES;

ARTIFICIAL INTELLIGENCE;

COMPUTER AIDED INSTRUCTION;

EID: 84862504437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30950-2_1     Document Type: Conference Paper

References (28)

1. Seidel, R.J., Park, O.: An Historical Perspective and a Model for Evaluation of Intelligent Tutoring Systems. Journal of Educational Computing Research 10(2), 103-128 (1994)
2. Phelps, E.A.: Emotion and cognition: Insights from Studies of the Human Amygdala. Annual Review Psychology 57, 27-53 (2006)
3. Arroyo, I., Ferguson, K., Johns, J., Dragon, T., Meheranian, H., Fisher, D., Barto, A., Mahadevan, S., Woolf, B.P.: Repairing Disengagement With Non-Invasive Interventions. In: Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work. IOS Press (2007)
4. Burleson, W.: Affective learning companions: strategies for empathetic agents with realtime multimodal affective sensing to foster meta-cognitive approaches to learning, motivation, and perseverance, MIT PhD thesis (2006)
5. Conati, C.: Probabilistic Assessment of User's Emotions in Educational Games. Applied Artificial Intelligence 16, 555-575 (2002)
6. D'Mello, S., Graesser, A.: Automatic detection of learner's affect from gross body language. Applied Artificial Intelligence 23, 123-150 (2009)
7. Litman, D., Forbes-Riley, K.: Annotating student emotional states in spoken tutoring dialogues. In: SIGdial Workshop on Discourse and Dialogue, Boston, USA, pp. 144-153 (2004)
8. Woolf, B., Burleson, W., Arroyo, I., Dragon, T., Cooper, D., Picard, R.: Affect aware tutors: recognising and responding to student affect. Int. J. Learn. Technol. 4(3/4), 129-164 (2009)
9. Pekrun, R.: The Impact of Emotions on Learning and Achievement: Towards a Theory of Cognitive/Motivational Mediators. Applied Psychology 41(4), 359-376 (1992)
10. Kim, Y.: Empathetic virtual peers enhanced learner interest and self-efficacy. In: Workshop on Motivation and Affect in Educational Software, in Conjunction with the 12th International Conference on Artificial Intelligence in Education (2005)
11. McQuiggan, S.W., Lee, S.Y., Lester, J.C.: Early Prediction of Student Frustration. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 698-709. Springer, Heidelberg (2007)
12. Prendinger, H., Ishizuka, M.: The empathic companion: A character-based interface that addresses users' affective states. Applied Artificial Intelligence 19, 267-285 (2005)
13. Kouider, S., Dehaene, S., Jobert, A., Le Bihan, D.: Cerebral Bases of Subliminal and Supraliminal Priming during Reading. Cereb. Cortex 17(9), 2019-2029 (2007)
14. Mayer, J.D., Allen, J., Beauregard, K.: Mood inductions for four specific moods: A procedure employing guided imagery vignettes with music. Journal of Mental Imagery 19, 133-150 (1995)
15. Del Cul, A., Baillet, S., Dehaene, S.: Brain dynamics underlying the nonlinear threshold for access to consciousness. Public Library of Science, Biology 5(10), 2408-2423 (2007)
16. Hassin, R., Uleman, J., Bargh, J.: The new unconscious. Oxford University Press, Oxford (2005)
17. Tulving, E., Schacter, D.: Priming and human memory systems. Science 247(4940), 301-306 (1990)
18. Bargh, J.A., Chaiken, S., Govender, R., Pratto, F.: The generality of the automatic attitude activation effect. Journal of Personality and Social Psychology 62(6), 893-912 (1992)
19. Jraidi, I., Frasson, C.: Subliminally Enhancing Self-esteem: Impact on Learner Performance and Affective State. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010. LNCS, vol. 6095, pp. 11-20. Springer, Heidelberg (2010)
20. Grumm, M., Nestler, S., Von Collani, G.: Changing explicit and implicit attitudes: The case of self-esteem. Journal of Experimental Social Psychology 45(2), 327-335 (2009)
21. LeBel, E.P., Gawronski, B.: How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name-letter task. European Journal of Personality 23, 85-106 (2009)
22. Lang, P.J.: The emotion probe: Studies of motivation and attention. Am. Psy. 50(5), 372-385 (1995)
23. Russell, J.: A circumplex model of affect. JPSP 39, 1161-1178 (1980)
24. Kaiser, R.: Prototypical development of an affective component for an e-learning system. Master Thesis, Department of Computer Science, University of Rostock, Germany (2006)
25. Gaillard, R., Naccache, L., Pinel, P., Clémenceau, S., Volle, E., Hasboun, D., Dupont, S., Baulac, M., Dehaene, S., Adam, C., Cohen, L.: Direct Intracranial, fMRI, and Lesion Evidence for the Causal Role of Left Inferotemporal Cortex in Reading. Neuron 50, 191-204 (2006)
26. Chalfoun, P., Frasson, C.: Subliminal cues while teaching: HCI technique for enhanced learning. Advances in Human Computer Interaction: Special Issue on Subliminal Communication in Human-Computer Interaction (January 2011)
27. Sandkühler, S., Bhattacharya, J.: Deconstructing insight: EEG correlates of Insightful Problem Solving. PLOS One 3(1) (2008)
28. Hyungkyu, K., Jangsik, C., Eunjung, L.: EEG Asymmetry Analysis of the Left and Right Brain Activities During Simple versus Complex Arithmetic Learning. Journal of Neurotherapy 13 (2009)