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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Cites
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue.
Graesser, A. C., Chipman, P., Haynes, B. C., & Olney, A. (2005) · IEEE Transactions on Education · doi:10.1109/te.2005.856149 · Cited by 750
Anderson, J. R., Boyle, C., & Reiser, B. (1985) · Science · doi:10.1126/science.228.4698.456 · Cited by 699
(2001) · doi:10.1609/aimag.v22i4.1591 · Cited by 381
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
Leelawong, K., & Biswas, G. (2008) · International Journal of Artificial Intelligence in Education · doi:10.3233/irg-2008-18(3)02 · Cited by 311
Lin, C. F., Yeh, Y., Hung, Y. H., & Chang, R.-I. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.05.009 · Cited by 250
Peekaboo as an Instructional Model: Discourse Development at Home and at School
Cazden, C. B. (1983) · Springer eBooks · doi:10.1007/978-1-4899-1525-2_3 · Cited by 143
ActiveMath: An Intelligent Tutoring System for Mathematics
Melis⋆, E., & Siekmann, J. H. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24844-6_12 · Cited by 110
Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions
Chi, M., Koedinger, K. R., Gordon, G. J., Jordon, P., & VanLahn, K. (2018) · PubMed · doi:10.1184/r1/6475808.v1 · Cited by 69
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
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
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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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