Cited by 124Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in EducationOnline Learning and Analytics

Evolution and trends in intelligent tutoring systems research: a multidisciplinary and scientometric view

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Guo, Lu, Wang, Dong, Gu, Fei, Li, Yazheng, Wang, Yezhu, Zhou, Rongting·2021·Asia Pacific Education Review

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Crossref · 10.1007/s12564-021-09697-7

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  • Intelligent tutoring systems have been developed and effectively integrated into learning environments to provide enriched personalized learning experiences, for instance, by offering tailored feedback and guidance.

    “Since several years, intelligent tutoring systems (ITS) have been developed and effectively integrated into learning environments to provide enriched personalized learning experiences, for instance, by offering tailored feedback and guidance60,61.”

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9 of the 132 references couldn’t be matched to a known paper.

Research works printed but not linked: 8

  1. Chang M D’Aniello G Gaeta M Orciuoli F Sampson D Simonelli C Building ontology-driven tutoring models for intelligent tutoring systems using data mining IEEE Access 2020 8 48151 48162 10.1109/ACCESS.2020.2979281 · DOI · Paper page
  2. Conati C Gertner A Vanlehn K Using Bayesian networks to manage uncertainty in student modeling User Modeling and User-Adapted Interaction 2002 12 371 417 10.1023/A:1021258506583 · DOI · Paper page
  3. Desmarais MC d Baker RS A review of recent advances in learner and skill modeling in intelligent learning environments User Modeling and User-Adapted Interaction 2012 22 1 9 38 10.1007/s11257-011-9106-8 · DOI
  4. Graesser, A.C., Moreno, K., Marineau, J., Adcock, A., Olney, A., Person, N., & The Tutoring Research Group (2003). AutoTutor improves deep learning of computer literacy: Is it the dialogue or the talking head? In U. Hoppe, F. Verdejo, & J. Kay (Eds.), Proceedings of artificial intelligence in education (pp. 47–54). Amsterdam: IOS Press.
  5. Hu Z Zhou T New media industries from frontiers artificial intelligence and virtual reality Social Sciences Academic Press (China) 2017 1 2 3
  6. Li J Chen C CiteSpace: Text mining and visualization in scientific literature 2016 Capital University of Economics and Business Press
  7. Lighthill, J. (1973). Artificial Intelligence: A general survey. Artificial Intelligence: a paper symposium, Science Research Council.
  8. Liu Y Modern educational technology and intelligent computer-aided teaching Journal of Natural Sciences of Harbin Normal University 2003 2003 5 59 61

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Authors
Guo, L., Wang, D., Gu, F., Li, Y., Wang, Y., & Zhou, R.
Affiliations
  • University of Science and Technology of China (CN)
  • Anhui University (CN)
Corresponding author
  • Wang, Dong
  • Zhou, Rongting
Venue
Asia Pacific Education Review
Published
2021-05-04
Volume
22
Issue
3
Pages
441-461
ISSN
  • 1598-1037 (ISSN-L)
  • 1876-407X
OpenAlex
W3157169558
Cited by
124
References
132
Citations by year
2026: 28 · 2025: 32 · 2024: 40 · 2023: 11 · 2022: 11 · 2021: 2
FWCI
5.66
Type
journal article
Language
en
Open access
Locations
  • Asia Pacific Education Review (publishedVersion)
  • PubMed Central (publishedVersion)
Funders
Anhui Provincial Quality Constructing Teaching Research Project (No: 2018jwxm0899)
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
intelligent tutoring systems, research trends, research evolution, multidisciplinary research, interactive learning environment, student modeling, teaching and learning strategies, machine learning in education, Coh-Metrix, STEM education

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