Abstract
Mind-wandering is a ubiquitous phenomenon that is negatively related to learning. The purpose of the current study is to examine mind-wandering during vicarious learning, where participants observed another student engage in a learning session with an intelligent tutoring system (ITS). Participants (N = 118) watched a prerecorded learning session with GuruTutor, a dialogue-based ITS for biology. The response accuracy of the student interacting with the tutor (i.e., the firsthand student) was manipulated across three conditions: Correct (100% accurate responses), Incorrect (0% accurate), and Mixed (50% accurate). Results indicated that Firsthand Student Expertise influenced the frequency of mind-wandering in the participants who engaged vicariously (secondhand students), such that viewing a moderately-skilled firsthand learner (Mixed correctness) reduced the rate of mind-wandering (M = 25.4%) compared to the Correct (M = 33.9%) and Incorrect conditions (M = 35.6%). Firsthand Student Expertise did not impact learning, and we also found no evidence of an indirect effect of Firsthand Student Expertise on learning through mind-wandering (Firsthand Student Expertise → Mind-wandering → Learning). Our findings provide evidence that mind-wandering is a frequent experience during online vicarious learning and offer initial suggestions for the design of vicarious learning experiences that aim to maintain learners’ attentional focus.
Original language | English (US) |
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Title of host publication | Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings |
Editors | Seiji Isotani, Eva Millán, Amy Ogan, Bruce McLaren, Peter Hastings, Rose Luckin |
Publisher | Springer Verlag |
Pages | 296-307 |
Number of pages | 12 |
ISBN (Print) | 9783030232030 |
DOIs | |
State | Published - 2019 |
Externally published | Yes |
Event | 20th International Conference on Artificial Intelligence in Education, AIED 2019 - Chicago, United States Duration: Jun 25 2019 → Jun 29 2019 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11625 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 20th International Conference on Artificial Intelligence in Education, AIED 2019 |
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Country/Territory | United States |
City | Chicago |
Period | 6/25/19 → 6/29/19 |
Bibliographical note
Funding Information:Acknowledgments. This research was supported by the National Science Foundation (NSF) DRL 1235958 and IIS 1523091. Any opinions, findings and conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF.
Publisher Copyright:
© Springer Nature Switzerland AG 2019.
Keywords
- Attention
- Intelligent tutoring systems
- Mind-wandering
- Task-unrelated thought
- Vicarious learning