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Cited by 17
Multiple Criteria Comparative Evaluation of E-Learning Systems and Components

2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
Eugenijus Kurilovas, Julija Kurilova
https://doi.org/10.1109/AIEEE.2015.7367307
Conference  (2015), p. 1
2016 Future Technologies Conference (FTC)
Abdellah Bakhouyi, Rachid Dehbi, Mohamed Talea
https://doi.org/10.1109/FTC.2016.7821635
Conference  (2016), p. 361
2016 IEEE 4th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
Jaroslav Melesko, Eugenijus Kurilovas
https://doi.org/10.1109/AIEEE.2016.7821821
Conference  (2016), p. 1
A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms
Uğur Atıcı, Aylin Adem, Mehmet Burak Şenol, Metin Dağdeviren
https://doi.org/10.1007/s10639-021-10834-3
Journal  Education and Information Technologies Volume 27, Issue 5 (2022), p. 5989
Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects
Eugenijus Kurilovas, Irina Vinogradova, Silvija Serikoviene
https://doi.org/10.4018/978-1-4666-2949-3.ch010
Book  (2013), p. 136
Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects
Eugenijus Kurilovas, Irina Vinogradova, Silvija Serikoviene
https://doi.org/10.4018/ijopcd.2011100105
Journal  International Journal of Online Pedagogy and Course Design Volume 1, Issue 4 (2011), p. 62
European Learning Resource Exchange
Eugenijus Kurilovas
https://doi.org/10.4018/978-1-61350-192-4.ch014
Book  (2012), p. 200
Evaluation Research in E-Learning System
Bing Wu, Chen Yan Zhang
https://doi.org/10.4028/www.scientific.net/AMM.333-335.2239
Journal  Applied Mechanics and Materials Volume 333-335 (2013), p. 2239
Identification of critical quality factors and critical satisfaction gaps in emergency training courses for new nurses by the multi-criteria network structure model
Wei-Ling Hu, Yen-Ching Chuang, Zhu Liduzi Jiesisibieke, Tao-Hsin Tung
https://doi.org/10.1186/s12909-023-04330-0
Journal  BMC Medical Education Volume 23, Issue 1 (2023)
Intelligent Learning Management Systems
Ali Fardinpour, Mir Mohsen Pedram, Martha Burkle
https://doi.org/10.4018/ijdet.2014100102
Journal  International Journal of Distance Education Technologies Volume 12, Issue 4 (2014), p. 19
MCEQLS Approach in Multi-Criteria Evaluation of Quality of Learning Repositories
Eugenijus Kurilovas
https://doi.org/10.4018/978-1-4666-2669-0.ch006
Book  (2013), p. 96
Multi-criteria decision making approach in E-learning: A systematic review and classification
Mojtaba Zare, Christina Pahl, Hamed Rahnama, Mehrbakhsh Nilashi, Abbas Mardani, Othman Ibrahim, Hossein Ahmadi
https://doi.org/10.1016/j.asoc.2016.04.020
Journal  Applied Soft Computing Volume 45 (2016), p. 108
NEW MCEQLS AHP METHOD FOR EVALUATING QUALITY OF LEARNING SCENARIOS
Eugenijus Kurilovas, Inga Zilinskienė
https://doi.org/10.3846/20294913.2012.762952
Journal  Technological and Economic Development of Economy Volume 19, Issue 1 (2013), p. 78
Personalizuoto mokymosi metodai ir technologijos
Jevgenij Kurilov
https://doi.org/10.20334/2018-051-M
Book  (2018)
Prioritizing the Critical Success Factors of E‐Learning Systems by Using DEMATEL
Kiran Mehta, Renuka Sharma
https://doi.org/10.1002/9781119867647.ch22
Book  (2023), p. 401
Robot-Based Smart Educational Environments to Teach CS: A Case Study
Vytautas Štuikys
https://doi.org/10.1007/978-3-319-16913-2_12
Book  (2015), p. 265
Smart STEM-Driven Educational Environment for CS Education: A Case Study
Vytautas Štuikys, Renata Burbaitė
https://doi.org/10.1007/978-3-319-78485-4_12
Book  (2018), p. 279


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