Cited by 580Recommender Systems and TechniquesIntelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

E-Learning personalization based on hybrid recommendation strategy and learning style identification

Klašnja-Milićević, Aleksandra, Vesin, Boban, Ivanović, Mirjana, Budimac, Zoran·2011·Computers & Education

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Crossref · 10.1016/j.compedu.2010.11.001

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44 of 44 references verified0 citation errors · 0 not checkable

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  • Learning styles have been among the broadly chosen components in previous studies as a reference for adapting learning.

    “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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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

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