Preparing students for future learning with Teachable Agents
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Another AI system used path traversal algorithms to establish causal chains, by which students were provided with elaborated feedback and hints rather than the correct answers; the learning-by-teaching context was constructed by learners' self-organization of interactions and their interpretation of feedback.
“Another AI system used path traversal algorithms to establish causal chains, by which students were provided with elaborated feedback and hints rather than the correct answers.e learning-by-teaching context was constructed by learners' self-organization of interactions and their interpretation of feedback [38].”
From A Review of Artificial Intelligence (AI) in Education from 2010 to 2020 (2021) · cites this paper as [38]
AI techniques generally fail to bring 'added-value' to large-scale students because of the concern of costs, and the mainstream is still occupied by 'basic value'.
“Although AI techniques displayed and predicted smart computation in the education domain, they generally fail to bring”
From A Review of Artificial Intelligence (AI) in Education from 2010 to 2020 (2021) · cites this paper as [38]
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A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
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- Authors
- Chin, D. B., Dohmen, I. M., Cheng, B. H., Oppezzo, M. A., Chase, C. C., & Schwartz, D. L.
- Affiliations
- Stanford University (US)
- SRI International (US)
- Corresponding author
- Chin, Doris B.
- ORCID
- Venue
- Educational Technology Research and Development
- Published
- 2010-03-05
- Volume
- 58
- Issue
- 6
- Pages
- 649-669
- ISSN
- 1042-1629 (ISSN-L)
- 1556-6501
- OpenAlex
- W2093782067
- Cited by
- 119
- References
- 45
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 5 · 2023: 7 · 2022: 4 · 2021: 6 · 2020: 7 · 2019: 7 · 2018: 5 · 2017: 7 · 2016: 4 · 2015: 9 · 2014: 12 · 2013: 12 · 2012: 7
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Educational Technology Research and Development (publishedVersion)
- Society for Research on Educational Effectiveness
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- teachable agents, concept maps, artificial intelligence in education, elementary school science, transfer of learning
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