Mathematical Modeling and Simulation of Systems (MODS'2020): Selected Papers of 15th International Scientific-practical Conference, MODS, 2020 June 29 – July 01, Chernihiv, Ukraine
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In [34], chatbots using ML algorithms were used to analyze learner requirements and generate personalized learning paths with tailored content.
“The application of ML algorithms is used to analyze each learner's personal requirements and generate a corresponding personalized learning path with tailored educational content.”
From Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review (2023) · cites this paper as [34]
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Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review
Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023) · Education Sciences · doi:10.3390/educsci13121216 · Cited by 980 · see citing works
- Authors
- Shkarlet, S. M., Morozov, A., & Palagin, A. V.
- Affiliations
- Chernihiv Polytechnic National University (UA)
- National Academy of Sciences of Ukraine (UA)
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2021
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W4239696206
- Cited by
- 9
- References
- 0
- Citations by year
- 2025: 2 · 2023: 4 · 2022: 1 · 2021: 1 · 2020: 1
- FWCI
- 2.41
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical and Computational Methods
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Modeling and Simulation Systems
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Keywords
- mathematical modeling
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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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