To resolve or not to resolve? That is the big question about confusion

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

Volumn 9112, Issue , 2015, Pages 216-225

  Lehman, Blair ^a   Graesser, Art ^b  

^a EDUCATIONAL TESTING SERVICE   (United States)

^b UNIVERSITY OF MEMPHIS   (United States)

Author keywords

Cognitive effort; Confusion resolution; Intelligent tutoring systems; Learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS;

COGNITIVE EFFORTS; EMPIRICAL RESEARCH; INDUCTION METHOD; INTELLIGENT TUTORING SYSTEM; LEARNING; LEARNING ENVIRONMENTS; RESOLUTION PROCESS; THEORETICAL FOUNDATIONS;

COMPUTER AIDED INSTRUCTION;

EID: 84948976611     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19773-9_22     Document Type: Conference Paper

References (25)

1. Craig, S., Graesser, A., Sullins, J., Gholson, B.: Affect and learning: An exploratory look into the role of affect in learning. J. Educational Media 29, 241-250 (2004)
2. D’Mello, S., Graesser, A.: The half-life of cognitive-affective states during complex learning. Cognition & Emotion 25, 1299-1308 (2011)
3. D’Mello, S., Graesser, A.: Confusion. In: Pekrun, R., Linnenbrink-Garcia, L. (eds.) International handbook of emotions in education, pp. 289-310. Routledge, New York (2014)
4. D’Mello, S., Graesser, A.: Confusion and its dynamics during device comprehension with breakdown scenarios. Acta psychological 151, 106-116 (2014)
5. D’Mello, S., Lehman, B., Pekrun, R., Graesser, A.: Confusion can be beneficial for learning. Learning & Instruction 29, 153-170 (2014)
6. Graesser, A., D’Mello, S.: Emotions during the learning of difficult material. In: Ross, B. (ed.) Psychology of Learning and Motivation, vol. 57, pp. 183-226. Elsevier (2012)
7. Lehman, B., D’Mello, S., Graesser, A.: False feedback can improve learning when you’re productively confused. (in preparation)
8. Lehman, B., D’Mello, S., Strain, A., Millis, C., Gross, M., Dobbins, A., Wallace, P., Millis, K., Graesser, A.: Inducing and tracking confusion with contradictions during complex learning. Int. J. Artificial Intelligence in Education 22, 85-105 (2013)
9. D’Mello, S., Lehman, B., Graesser, A.: A motivationally supportive affect-sensitive AutoTutor. In: Calvo, R., D’Mello, S. (eds.) New Perspectives on Affect and Learning Technologies, pp. 113-126. Springer, New York (2011)
10. Forbes-Riley, K., Litman, D.: Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor. Speech Communication 53, 1115-1136 (2011)
11. Grafsgaard, Joseph F., Boyer, Kristy Elizabeth, Phillips, Robert, Lester, James C.: Modeling confusion: facial expression, task, and discourse in task-oriented tutorial dialogue. In: Biswas, Gautam, Bull, Susan, Kay, Judy, Mitrovic, Antonija (eds.) AIED 2011. LNCS, vol. 6738, pp. 98-105. Springer, Heidelberg (2011)
12. Woolf, B., Burleson, W., Arroyo, I., Dragon, T., Cooper, D., Picard, R.: Affect-aware tutors: Recognizing and responding to student affect. Int. J. Learning Technology 4, 129-164 (2009)
13. Limón, M.: On the cognitive conflict as an instructional strategy for conceptual change: A critical appraisal. Learning & Instruction 11, 357-380 (2001)
14. Festinger, L.: A theory of cognitive dissonance. Row Peterson, Evanston (1957)
15. Graesser, A., Lu, S., Olde, B., Cooper-Pye, E., Whitten, S.: Question asking and eye tracking during cognitive disequilibrium: Comprehending illustrated texts on devices when the devices breakdown. Memory & Cognition 33, 1235-1247 (2005)
16. Piaget, J.: The origins of intelligence. International University Press, New York (1952)
17. Brown, J., VanLehn, K.: Repair theory: A generative theory of bugs in procedural skills. Cognitive Science 4, 379-426 (1980)
18. VanLehn, K., Siler, S., Murray, C., Yamauchi, T., Baggett, W.: Why do only some events cause learning during human tutoring? Cognition & Instruction 21, 209-249 (2003)
19. Chinn, C., Brewer, W.: The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science education. Review of Educational Research 63, 1-49 (1993)
20. D’Mello, S., Graesser, A.: Dynamics of affective states during complex learning. Learning & Instruction 22, 145-157 (2012)
21. Lee, Diane Marie C., Rodrigo, MaMercedes T., Baker, Ryan SJd, Sugay, Jessica O., Coronel, Andrei: Exploring the relationship between novice programmer confusion and achievement. In: D’Mello, Sidney, Graesser, Arthur, Schuller, Björn, Martin, Jean-Claude (eds.) ACII 2011, Part I. LNCS, vol. 6974, pp. 175-184. Springer, Heidelberg (2011)
22. Liu, Z., Pataranutaporn, V., Ocumpaugh, J., Baker, R.: Sequences of frustration and confusion, and learning. In: D’Mello, S., Calvo, R., & Olney, A. (eds.) EDM 2013, pp. 114-120. International Educational Data Mining Society (2013)
23. Rodrigo, M., Baker, R., Nabos, J.: The relationships between sequences of affect states and learner achievements. In: Wong, S., Kong, S., Yu, F.-Y. (eds.) Computers in Education, pp. 56-60. Faculty of Educational Studies, Universiti Putra Malaysia, Serdang (2010)
24. D’Mello, S., Taylor, R., Graesser, A.: Monitoring affective trajectories during complex learning. In: McNamara, D., Trafton, J. (eds.) Cognitive Science Society 2007, pp. 203-208. Cognitive Science Society, Austin (2007)
25. Halpern, D., Millis, K., Graesser, A., Butler, H., Forsyth, C., Cai, Z.: Operation ARA: A computerized learning game that teaches critical thinking and scientific reasoning. Thinking Skills and Creativity 7, 93-100 (2012)