Scaling mentoring support with distributed artificial intelligence
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The study's findings align with, but also extend, the findings of Klamma et al. (2020) on detective AI in mentoring.
“This aligns with, but also extends, the findings of Klamma et al. (2020), who highlighted the promise of detective AI in mentoring but did not examine generative AI in this capacity.”
From Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements (2025) · cites this paper as Klamma et al. (2020)
Cites
A Taxonomy of Mixed Reality Visual Displays
Milgram, P., & Kishino, F. (1994) · IEICE Transactions on Information and Systems · Cited by 4,614 · see citing works
Infrastructuring: Toward an Integrated Perspective on the Design and Use of Information Technology
Siegen, U., Pipek, V., Wulf, V., & Siegen, F.-I. F. A. I. F. A. U. (2009) · Journal of the Association for Information Systems · doi:10.17705/1jais.00195 · Cited by 638 · see citing works
W2 - Adaptive and Intelligent Web-Based Education Systems
Peylo, C. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45108-0_86 · Cited by 627 · see citing works
Unleashing the Potential of Chatbots in Education: A State-Of-The-Art Analysis
Winkler, R., & Soellner, M. (2018) · Academy of Management Proceedings · doi:10.5465/ambpp.2018.15903abstract · Cited by 581 · see citing works
Requirements Bazaar: Social requirements engineering for community-driven innovation
Renzel, D., Behrendt, M., Klamma, R., & Jarke, M. (2013) · IEEE International Requirements Engineering Conference (RE) · doi:10.1109/re.2013.6636738 · Cited by 61 · see citing works
Self-citationAutomated Knowledge Visualization and Assessment
Pirnay-Dummer, P. N., & Ifenthaler, D. (2009) · Springer eBooks · doi:10.1007/978-1-4419-5662-0_6 · Cited by 51 · see citing works
The jury is still out: Psychoemotional support in peer e-mentoring for transition to university
Rísquez, A., & Sanchez-Garcia, M. (2011) · The Internet and Higher Education · doi:10.1016/j.iheduc.2011.11.003 · Cited by 30 · see citing works
From Interactive Open Learner Modelling to Intelligent Mentoring: STyLE-OLM and Beyond
Dimitrova, V. G., & Brna, P. (2015) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0087-3 · Cited by 26 · see citing works
An Efficient Student Model Based on Student Performance and Metadata
Faulhaber, A., & Melis⋆, E. (2008) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-58603-891-5-276 · Cited by 16 · see citing works
Collaborative Creation and Training of Social Bots in Learning Communities
Neumann, A. T., de Lange, P., & Klamma, R. (2019) · IEEE International Conference on Collaboration and Internet Computing (CIC) · doi:10.1109/cic48465.2019.00011 · Cited by 16 · see citing works
Self-citationAdaptive and Intelligent Mentoring to Increase User Attentiveness in Learning Activities
Toala, R., Gonçalves, F., Durães, D. A., et al. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-03928-8_12 · Cited by 13 · see citing works
Mentoring: A Leverage Point for Intelligent Systems?
Hoffman, R. R., & Ward, P. (2015) · IEEE Intelligent Systems · doi:10.1109/mis.2015.86 · Cited by 10 · see citing works
Mack, N. A., Cummings, R. T., Huff, E. W., Gosha, K., & Gilbert, J. E. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-30712-7_28 · Cited by 10 · see citing works
Decentralized Service Registry and Discovery in P2P Networks Using Blockchain Technology
de Lange, P., Janson, T., & Klamma, R. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-19274-7_22 · Cited by 9 · see citing works
Self-citationThe Principle of Immanence in GRID-Multiagent Integrated Systems
Dugénie, P., Jonquet, C., & Cerri, S. A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88875-8_29 · Cited by 4 · see citing works
Towards Requirements for Intelligent Mentoring Systems
Kravčík, M., Schmid, K., & Igel, C. (2019) · doi:10.1145/3345002.3349290 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
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Nguyen (Ruby), N. N., & Barbieri, W. (2025) · Education Sciences · doi:10.3390/educsci15060642 · Cited by 15 · see citing works
- Authors
- Klamma, R., de Lange, P., Neumann, A. T., Hensen, B., Kravcik, M., Wang, X., & Kuzilek, J.
- Affiliations
- RWTH Aachen University (DE)
- German Research Centre for Artificial Intelligence (DE)
- Corresponding author
- Klamma, Ralf
- ORCID
- Venue
- Lecture notes in computer science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 38-44
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3033047031
- Cited by
- 25
- References
- 16
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 7 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 1
- FWCI
- 1.12
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Psychology › Social Psychology › Mentoring and Academic Development
- Physical Sciences › Computer Science › Artificial Intelligence › Edcuational Technology Systems
- Keywords
- mentoring, distributed artificial intelligence, higher education, socio-technical infrastructure, open source technologies, mentor-mentee interaction, educational challenges
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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