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E-Learning personalization based on hybrid recommendation strategy and learning style identification
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“Learning styles (Çakıroğlu, 2014;Klašnja-Milićević et al., 2011;Latham, Crockett and McLean, 2014) have been among the broadly chosen components in previous studies as a reference for adapting learning.”
From A systematic literature review of personalized learning terms (2020) · cites this paper as Klašnja-Milićević et al., 2011
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Metadata
- Authors
- Klašnja-Milićević, A., Vesin, B., Ivanović, M., & Budimac, Z.
- Affiliations
- University of Novi Sad (RS)
- Corresponding author
- Vesin, Boban
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 56
- Issue
- 3
- Pages
- 885-899
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W1994510396
- Cited by
- 580
- References
- 46
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 25 · 2023: 27 · 2022: 41 · 2021: 47 · 2020: 53 · 2019: 56 · 2018: 41 · 2017: 50 · 2016: 52 · 2015: 54 · 2014: 37 · 2013: 29 · 2012: 19
- FWCI
- 56.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- personalized e-learning, learning style identification, hybrid recommendation, frequent sequence mining, learner preferences
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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