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

The DOI matches its Crossref record; 44 of the 46 references it cites were found in a registry or an index.

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

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

Overview

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2010.11.001

Cites

44 of 44 references verified0 citation errors · 0 not checkable

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Citations

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Show all 46 references

2 of the 46 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Dunn, 1984, Practical applications of the research: responding to students’ learning styles-step one, Illinois State Research and Development Journal, 21, 1
  2. Kristofic, A. (2005). Recommender system for adaptive hypermedia Applications. In Proceeding of Informatics and Information Technology Student Research Conference, Bratislava, 229–234.
  3. Peña, C.I., Marzo, J.L., & de la Rosa, J.L., (2002). Intelligent agents in a teaching and learning environment on the web. In: IEEE International Conference on Advanced Learning Technologies, 21–27.
  4. Vesin, 2009, Learning management system for programming in java, Sectio Computatorica, 31, 75

Cited by

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Items 201–300 of 579

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

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