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Title: Boosting engagement with educational software using near wins
Boosting engagement with educational software has been promoted as a means of improving student performance. Various engagement factors have been explored, including choice, personalization, badges, bonuses, and competition. We examine two promising and relatively understudied manipulations from the realm of gambling: the nearwin effect and anticipation. The near-win effect occurs when an individual comes close to achieving a goal, e.g., getting two cherries and a lemon in a slot machine. Anticipation refers to the build-up of suspense as an outcome is revealed, e.g., revealing cherry-cherry-lemon in that order drives expectations of winning more than revealing lemon-cherrycherry. Gambling psychologists have long studied how near-wins affect engagement in pure-chance games but it is difficult to do the same in an educational context where outcomes are based on skill. In this paper, we manipulate the display of outcomes in a manner that allows us to introduce artificial near-wins largely independent of a student’s performance. In a study involving thousands of students using an online math tutor, we examine how this manipulation affects a behavioral measure of engagement—whether or not a student repeats a lesson. We find a near-win effect on engagement when the ‘win’ indicates to the student that they have attained critical competence on a lesson—the competence that allows them to continue to the next lesson. Nonetheless, when we experimentally induce near wins in a randomized controlled trial, we do not obtain a reliable effect of the near win. We discuss this mismatch of results in terms of the role of anticipation on making near wins effective. We conclude by describing manipulations that might increase the effect of near wins on engagement.  more » « less
Award ID(s):
1631428
NSF-PAR ID:
10074163
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Nineteenth International Conference on Artificial Intelligence in Education
Volume:
19
Page Range / eLocation ID:
171-175
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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