Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring Syste

Date

2017-06-23

Author

Nye, Benjamin
Karumbaiah, Shamya
Tokel, Saniye Tuğba
Core, Mark G
Stratou, Giota
Auerbach, Daniel
Kallirroi, Georgila

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URI

https://hdl.handle.net/11511/84941

Conference Name

Artificial Intelligence in Education (AIED), (28 Haziran - 02 Temmuz 2017)

Collections

Department of Computer Education and Instructional Technology, Conference / Seminar

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Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System Nye, Benjamin; Karumbaiah, Shamya; Tokel, Saniye Tuğba; Core, Mark G.; Stratou, Giota; Auerbach, Daniel; Georgila, Kallirroi (2017-07-01) Scenario-based tutoring systems influence affective states due to two distinct mechanisms during learning: (1) reactions to performance feedback and (2) responses to the scenario context or events. To explore the role of affect and engagement, a scenario-based ITS was instrumented to support unobtrusive facial affect detection. Results from a sample of university students showed relatively few traditional academic affective states such as confusion or frustration, even at decision points and after poor perf...
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Citation Formats

B. Nye et al., “Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring Syste,” 2017, vol. 10331, p. 544, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/84941.