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Cited by 189Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in EducationOnline Learning and Analytics

A Conceptual Framework for Human–AI Hybrid Adaptivity in Education

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Holstein, Kenneth, Aleven, Vincent, Rummel, Nikol·2020·Lecture Notes in Computer Science
DOI 10.1007/978-3-030-52237-7_20PMC PMC7334162
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  • Continuously interwoven explanation of AI behavior and exploratory adaptation can improve both AI and human learning.

    “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

    The Conceptual Framework section (page unavailable) describes co-learning in which humans and AI help one another improve over time. Decision Augmentation (page unavailable) discusses AI support for human professional development and human feedback that helps AI learn. The copy does not support the more specific claim that continuously interwoven explanations of AI behavior and exploratory adaptation produce those improvements. (LLM, conf=0.82)

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2 of the 73 references couldn’t be matched to a known paper.

Research works printed but not linked: 9

  1. [8]Bransford JD Brown AL Cocking RR How People Learn 2000 Washington, DC National Academy Press
  2. [10]Chen, N.C., Suh, J., Verwey, J., Ramos, G., Drucker, S., Simard, P.: AnchorViz: facilitating classifier error discovery through interactive semantic data exploration. In: 23rd International Conference on Intelligent User Interfaces, pp. 269–280 (2018)
  3. [14]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
  4. [23]Holstein, K.: Designing real-time teacher augmentation to combine strengths of human and AI instruction. Unpublished doctoral dissertation, Carnegie Mellon University (2019)
  5. [25]Holstein, K., McLaren, B.M., Aleven, V.: SPACLE: investigating learning across virtual and physical spaces using spatial replays. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference, pp. 358–367 (2017)
  6. [33]Lake BM Ullman TD Tenenbaum JB Gershman SJ Building machines that learn and think like people Behav. Brain Sci. 2017 40 258 27881212
  7. [60]Simard, P.Y., et al.: Machine teaching: a new paradigm for building machine learning systems (2017). arXiv preprint arXiv:1707.06742 · arXiv
  8. [72]Williams, J.J., et al.: Axis: generating explanations at scale with learner sourcing and machine learning. In: Proceedings of the Third (2016) ACM Conference on Learning@ Scale, pp. 379–388 (2016)
  9. [74]Zhu, X., Singla, A., Zilles, S., Rafferty, A.N.: An overview of machine teaching (2018). arXiv preprint arXiv:1801.05927 · arXiv

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Authors
Holstein, K., Aleven, V., & Rummel, N.
Affiliations
  • Carnegie Mellon University (US)
  • Ruhr University Bochum (DE)
Corresponding author
Holstein, Kenneth
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2020
Pages
240-254
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-030-52237-7_20
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
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • PubMed Central (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Information Systems › 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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