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Evidence Base

Instructing a Teachable Agent with Low or High Self-Efficacy – Does Similarity Attract?

Publication details

Year: 2019
DOI: 10.1007/s40593-018-0167-2
Issued: 2020
Language: English
Volume: 29
Issue: 1
Start Page: 89
End Page: 121
Editors:
Authors: Tärning B.; Silvervarg A.; Gulz A.; Haake M.
Type: Journal article
Journal: International Journal of Artificial Intelligence in Education
Publisher: Springer Science and Business Media LLC
Topics: Learning
Sample: "A total of 166 fourth graders (83 girls and 83 boys) took part, recruited from nine classes in four schools in Southern Sweden in areas with median to low socio-economic status." (Authors, 99)
Implications For Educators About: STEM Education; Professional development

Abstract

This study examines the effects of teachable agents’ expressed self-efficacy on students. A total of 166 students, 10- to 11-years-old, used a teachable agent-based math game focusing on the base-ten number system. By means of data logging and questionnaires, the study compared the effects of high vs. low agent self-efficacy on the students’ in-game performance, their own math self-efficacy, and their attitude towards their agent. The study further explored the effects of matching vs. mismatching between student and agent with respect to self-efficacy. Overall, students who interacted with an agent with low self-efficacy performed better than students interacting with an agent with high self-efficacy. This was especially apparent for students who had reported low self-efficacy themselves, who performed on par with students with high self-efficacy when interacting with a digital tutee with low self-efficacy. Furthermore, students with low self-efficacy significantly increased their self-efficacy in the matched condition, i.e. when instructing a teachable agent with low self-efficacy. They also increased their self-efficacy when instructing a teachable agent with high self-efficacy, but to a smaller extent and not significantly. For students with high self-efficacy, a potential corresponding effect on a self-efficacy change due to matching may be hidden behind a ceiling effect. As a preliminary conclusion, on the basis of the results of this study, we propose that teachable agents should preferably be designed to have low self-efficacy.

Outcome

"What we found was that the tutee’s SE had no effect on students’ attitude toward the agent; neither did it have any statistically significant effect on students’ own SE. It did, however, have a significant impact on in-game performance – at least with respect to the sub-group of low-SE students.... Separating the low- from the high-SE students, we found some tantalizing effects of tutee SE on student SE. Low-SE students increased their SE consider- ably regardless of condition – but with a trend towards a stronger effect when they taught a low-SE agent. The high-SE students – perhaps not surprisingly – did not change their SE much and may well have encountered a ceiling effect." (Authors, 115)

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