The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System
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“Meanwhile, ITS's offering personalised automated hints and explanations have been shown to improve learning outcomes and receive positive evaluation from students [76, 130].”
From AI Sensing and Intervention in Higher Education: Student Perceptions of Learning Impacts, Affective Responses, and Ethical Priorities (2026) · cites this paper as [76]
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Citations
Cites
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue.
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AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring
Nye, B. D., Graesser, A. C., & Hu, X. (2014) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-014-0029-5 · Cited by 326
Designing Learning by Teaching Agents: The Betty's Brain System
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Assessment with computer agents that engage in conversational dialogues and trialogues with learners
Graesser, A. C., Cai, Z., Morgan, B., & Wang, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.041 · Cited by 63
Adaptive Intelligent Tutoring System for learning Computer Theory
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An Intelligent Tutoring System for Learning Classical Cryptography Algorithms (CCAITS)
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The Impact of Student Model Updates on Contingent Scaffolding in a Natural-Language Tutoring System
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Qwaider, S. R., & Abu-Naser, S. S. (2018) · PhilPapers (PhilPapers Foundation) · Cited by 22
Rus, V., Stefanescu, D. C., Niraula, N. B., & Graesser, A. C. (2014) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/2556325.2567885 · Cited by 21
Preliminary Evaluations of a Dialogue-Based Digital Tutor
Ventura, M., Chang, M., Foltz, P. W., Mukhi, N. K., Yarbro, J., Salverda, A. P., Behrens, J. T., Ahn, J., Ma, T., Dhamecha, T. I., et al. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93846-2_90 · Cited by 20
Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes
Munshi, A., & Biswas, G. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-23207-8_65 · Cited by 20
Development and Evaluation of the Oracle - OITS
Aldahdooh, R., & Abu-Naser, S. S. (2017) · PhilPapers (PhilPapers Foundation) · Cited by 19
Feedback in an interactive equation solver
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Macro-adaptation in Conversational Intelligent Tutoring Matters
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Research works printed but not linked: 2
- Agha, M., Jarghon, A., Abu-Naser, S.: An intelligent tutoring system for teaching SQL. Int. J. Acad. Inf. Syst. Res. (IJAISR) 2(2), 1–7 (2018)
- Al Rekhawi, H., Abu-Naser, S.: Android applications UI development intelligent tutoring system. Int. J. Eng. Inf. Syst. (IJEAIS) 2(1), 1–14 (2018)
Cited by
Sorted by citations
NLP techniques for automating responses to customer queries: a systematic review
Olujimi, P. A., & Ade-Ibijola, A. (2023) · Discover Artificial Intelligence · doi:10.1007/s44163-023-00065-5 · Cited by 168
Artificial intelligence-based personalised learning in education: a systematic literature review
Farhood, H., Nyden, M., Beheshti, A., & Müller, S. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00598-x · Cited by 115
Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2024) · Nature Machine Intelligence · doi:10.1038/s42256-024-00820-y · Cited by 122
Chrysafiadi, K., Virvou, M. K., Tsihrintzis, G. A., & Hatzilygeroudis, I. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11444-3 · Cited by 80
Metadata
- Authors
- Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J.
- Affiliations
- University of Cambridge (GB)
- École de Technologie Supérieure (CA)
- Corresponding author
- Kochmar, Ekaterina
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 140-146
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- PMC
- PMC7334734
- OpenAlex
- W3023718816
- Cited by
- 103
- References
- 24
- Citations by year
- 2026: 31 · 2025: 30 · 2024: 17 · 2023: 10 · 2022: 11 · 2021: 4
- FWCI
- 2.39
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Lecture notes in computer science (publishedVersion)
- PubMed Central (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- 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
- intelligent tutoring systems, personalized feedback, automated feedback, natural language generation, learning outcomes
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