How teachable agents influence students’ responses to critical constructive feedback
Bibliographic Data
| ID | 21744274 |
|---|---|
| Authors | Annika Silvervarg (0000-0001-6997-3917, Linköping University), R C Wolf (Stanford University), Rachel Wolf (Stanford University), Kristen P Blair (0000-0001-8676-2230, Stanford University), Magnus Haake (0000-0003-1129-4094, Lund University), Agneta Gulz (0000-0003-3691-8756, Linköping University, corresponding author) |
| Year | 2021 |
| Volume | 53 |
| Issue | 1 |
| Pages | 67-88 |
| Publication date | 2021-01-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Research on Technology in Education (JOURNAL) |
| Journal identifiers | ISSN: 1539-1523 • E-ISSN: 1945-0818 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15391523.2020.1784812 |
| OpenAlex | W3047380856 |
| Language | EN |
| Citations received | 9 |
| References cited | 31 |
Does a teachable agent influence the uptake or neglect of ‘critical constructive feedback’ and learning within a digital environment? 285 middle-school students engaged with a history learning game in a 2x2 study design. One dimension was inclusion of a teachable agent. Orthogonal was whether critical constructive feedback was presented automatically or only when students chose. Analyses showed that a teachable agent positively affected students’ responses to feedback and mitigated feedback neglect; the results were especially strong for lower-achieving students. Additionally, presence of a teachable agent improved post-test performance for students overall, and this effect was mediated by lower feedback neglect
Constructive · Mathematics education · Neglect · Teachable moment · Computer Science · Innovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Mathematics · Online Learning and Analytics · Psychology
Exploring the Type and Quality of Peer Feedback in a Graduate-Level Blended Course
Learning with virtual humans
A systematic review of conversational AI in language education
Pedagogical agents in K-12 education
Students’ perceived roles, opportunities, and challenges of a generative AI-powered teachable agent
How pedagogical agents communicate with students
Learning by teaching with ChatGPT
Development of a generative AI ‐powered teachable agent for middle school mathematics learning
Unveiling interaction patterns between students and generative AI teachable agent
Effects of Feedback in a Computer-Based Learning Environment on Students’ Learning Outcomes
Making Sense of Assessment Feedback in Higher Education
Simultaneous Inference in General Parametric Models
Testing models of the experience of self-determination in intrinsic motivation and the conundrum of choice.
“I feel disappointed”
Focus on Formative Feedback
Assessing the black box of feedback neglect in a digital educational game for elementary school
Feedback on feedback practice
‘Feed‐forward’
Sustainable Feedback
The general causality orientations scale
The Power of Feedback
| Citations per year | 1.8 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |