The DOI matches its Crossref record; 43 of the 45 references it cites were found in a registry or an index.
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.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]
In the citing paper
“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]
Citations
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- Ito, M. (2009). Hanging out, messing around, geeking out: Kids living and learning with new media. Cambridge, MA: MIT Press. · DOI
Cited by
Sorted by citations
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., & Li, Y. (2021) · Complexity · doi:10.1155/2021/8812542 · Cited by 1,364
“Although AI techniques displayed and predicted smart computation in the education domain, they 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” [38].”
BackgroundMethodAI technologies for education: Recent research & future directions
Zhang, K., & Aslan, A. B. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100025 · Cited by 923
Intelligent tutoring systems and learning outcomes: A meta-analysis
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Dai, C., & Ke, F. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100087 · Cited by 357
García‐Martínez, I., Fernández‐Batanero, J. M., Cerero, J. F., & León, S. P. (2023) · Journal of New Approaches in Educational Research · doi:10.7821/naer.2023.1.1240 · Cited by 386
Metadata
- 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
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- teachable agents, concept maps, artificial intelligence in education, elementary school science, transfer of learning
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