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Top-N Knowledge Concept Recommendations in MOOCs Using a Neural Co-Attention Model

IEEE access, 2023, Vol.11, p.51214-51228

2023

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Students’ Perceptions of ILS as a Learning-Style-Identification Tool in E-Learning Environments

Sustainability (Basel, Switzerland), 2022-04, Vol.14 (8), p.4426

2022

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Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 16th International Conference on IIHMSP in Conjunction with the 13th International Conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2

1st Edition 2021, 2021

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Learning Analytics - New Flavor and Benefits for Educational Environments

Informatics in education, 2018-01, Vol.17 (2), p.285-300

2018

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E-Learning Systems: Intelligent Techniques for Personalization

1, 2016

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Experiences and perspectives of Technology-enhanced learning and teaching in higher education – Serbian case

Procedia computer science, 2018, Vol.126, p.1351-1359

2018

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

Computers and education, 2011-04, Vol.56 (3), p.885-899

2011

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Handbook on Intelligent Techniques in the Educational Process: Vol 1 Recent Advances and Case Studies

1, 2022

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Social tagging strategy for enhancing e-learning experience

Computers and education, 2018-03, Vol.118, p.166-181

2018

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E-learning Personalization Systems and Sustainable Education

Sustainability (Basel, Switzerland), 2021-06, Vol.13 (12), p.6713

2021

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Personalization and Adaptation in E-Learning Systems

E-Learning Systems, 2017, Vol.112, p.21-25

2017

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Data science in education: Big data and learning analytics

Computer applications in engineering education, 2017-11, Vol.25 (6), p.1066-1078

2017

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Recommender Systems in E-Learning Environments

E-Learning Systems, 2017, Vol.112, p.51-75

2017

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Introduction to E-Learning Systems

E-Learning Systems, 2017, Vol.112, p.3-17

2017

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Protus 2.0: Ontology-based semantic recommendation in programming tutoring system

Expert systems with applications, 2012-11, Vol.39 (15), p.12229-12246

2012

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Folksonomy and Tag-Based Recommender Systems in E-Learning Environments

E-Learning Systems, 2017, Vol.112, p.77-112

2017

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Personalization Based on Learning Styles

E-Learning Systems, 2017, Vol.112, p.27-36

2017

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Agents in E-Learning Environments

E-Learning Systems, 2017, Vol.112, p.43-49

2017

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Design, Architecture and Interface of Protus 2.1 System

E-Learning Systems, 2017, Vol.112, p.185-212

2017

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Personalization in Protus 2.1 System

E-Learning Systems, 2017, Vol.112, p.213-257

2017

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Semantic Web

E-Learning Systems, 2017, Vol.112, p.115-148

2017

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Adaptation in E-Learning Environments

E-Learning Systems, 2017, Vol.112, p.37-42

2017

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Conclusions and Future Directions

E-Learning Systems, 2017, Vol.112, p.287-294

2017

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Experimental Evaluation of Protus 2.1

E-Learning Systems, 2017, Vol.112, p.261-285

2017

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Design and Implementation of General Tutoring System Model

E-Learning Systems, 2017, Vol.112, p.149-182

2017

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Top-N Knowledge Concept Recommendations in MOOCs Using a Neural Co-Attention Model

Students’ Perceptions of ILS as a Learning-Style-Identification Tool in E-Learning Environments

Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 16th International Conference on IIHMSP in Conjunction with the 13th International Conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2

Learning Analytics - New Flavor and Benefits for Educational Environments

E-Learning Systems: Intelligent Techniques for Personalization

Experiences and perspectives of Technology-enhanced learning and teaching in higher education – Serbian case

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

Handbook on Intelligent Techniques in the Educational Process: Vol 1 Recent Advances and Case Studies

Social tagging strategy for enhancing e-learning experience

E-learning Personalization Systems and Sustainable Education

Personalization and Adaptation in E-Learning Systems

Data science in education: Big data and learning analytics

Recommender Systems in E-Learning Environments

Introduction to E-Learning Systems

Protus 2.0: Ontology-based semantic recommendation in programming tutoring system

Folksonomy and Tag-Based Recommender Systems in E-Learning Environments

Personalization Based on Learning Styles

Agents in E-Learning Environments

Design, Architecture and Interface of Protus 2.1 System

Personalization in Protus 2.1 System

Semantic Web

Adaptation in E-Learning Environments

Conclusions and Future Directions

Experimental Evaluation of Protus 2.1

Design and Implementation of General Tutoring System Model

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