The DOI matches its Crossref record; 71 of the 73 references it cites were found in a registry or an index.
A Conceptual Framework for Human–AI Hybrid Adaptivity in Education
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“Continuously interwoven explanation of AI behavior and exploratory adaptation can improve both AI and human learning (Holstein et al. 2020).”
From Keeping the organization in the loop: a socio-technical extension of human-centered artificial intelligence (2023) · cites this paper as Holstein et al. 2020
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Cites
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- Bransford, J.D., Brown, A.L., Cocking, R.R.: How People Learn, vol. 11. National Academy Press, Washington, DC (2000)
- De-Arteaga, M., Fogliato, R., Chouldechova, A.: A case for humans-in-the-loop: decisions in the presence of erroneous algorithmic scores (2020). arXiv preprint arXiv:2002.08035 · arXiv
- Holstein, K.: Designing real-time teacher augmentation to combine strengths of human and AI instruction. Unpublished doctoral dissertation, Carnegie Mellon University (2019)
- Roll, I., Wiese, E.S., Long, Y., Aleven, V., Koedinger, K.R.: Tutoring self-and co-regulation with intelligent tutoring systems to help students acquire better learning skills. In: Sottilare, R., Graesser, A., Hu, X., Holden, H. (eds.) Design Recommendations for Intelligent Tutoring Systems, vol. 2, pp. 169–182. US Army Research Laboratory, Orlando (2014)
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Cited by
Sorted by citations
Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13544 · Cited by 805
The impact of artificial intelligence on learner–instructor interaction in online learning
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00292-9 · Cited by 788
Jeon, J., & Lee, S. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11834-1 · Cited by 696
The promise and challenges of generative AI in education
Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernandez-Leo, D., Järvelä, S., Mavrikis, M., & Rienties, B. (2025) · Behaviour & Information Technology · doi:10.1080/0144929x.2024.2394886 · Cited by 543
Bernacki, M. L., Greene, M. J., & Lobczowski, N. G. (2021) · Educational Psychology Review · doi:10.1007/s10648-021-09615-8 · Cited by 618
Metadata
- Authors
- Holstein, K., Aleven, V., & Rummel, N.
- Affiliations
- Carnegie Mellon University (US)
- Ruhr University Bochum (DE)
- Corresponding author
- Holstein, Kenneth
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 240-254
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- PMC
- PMC7334162
- OpenAlex
- W3038925583
- Cited by
- 168
- References
- 73
- Citations by year
- 2026: 39 · 2025: 35 · 2024: 36 · 2023: 25 · 2022: 21 · 2021: 10 · 2020: 2
- FWCI
- 5.54
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Lecture notes in computer science (publishedVersion)
- PubMed Central (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- artificial intelligence in education, adaptive learning systems, human-AI collaboration, conceptual framework, human-AI augmentation
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