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Ahmed A. Mubarak, Han Cao & Weizhen Zhang. (2022) Prediction of students’ early dropout based on their interaction logs in online learning environment. Interactive Learning Environments 30:8, pages 1414-1433.
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Artūras Kaklauskas, Alfonsas Daniūnas, Dilanthi Amaratunga, Vilius Urbonas, Irene Lill, Renaldas Gudauskas, Maurizio D‘amato, Vaidotas Trinkūnas & Ieva Jackutė. (2012) Life cycle process model of a market-oriented and student centered higher education. International Journal of Strategic Property Management 16:4, pages 414-430.
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Daiva Goštautaitė & Leonidas Sakalauskas. (2022) Multi-Label Classification and Explanation Methods for Students’ Learning Style Prediction and Interpretation. Applied Sciences 12:11, pages 5396.
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Charles Darko. (2021) An Evaluation of How Students Use Blackboard and the Possible Link to Their Grades. SAGE Open 11:4, pages 215824402110672.
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Svajone Bekesiene, Aidas Vasilis Vasiliauskas, Šárka Hošková-Mayerová & Virgilija Vasilienė-Vasiliauskienė. (2021) Comprehensive Assessment of Distance Learning Modules by Fuzzy AHP-TOPSIS Method. Mathematics 9:4, pages 409.
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Milan Turčáni & Zoltán Balogh. 2020. The Impact of the 4th Industrial Revolution on Engineering Education. The Impact of the 4th Industrial Revolution on Engineering Education
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Gabriella Casalino, Giovanna Castellano & Corrado Mencar. (2019) Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis. Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis.
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Nikola Kadoic & Dijna Oreski. (2018) Analysis of student behavior and success based on logs in Moodle. Analysis of student behavior and success based on logs in Moodle.
Irina Krikun. (2017) Application of educational data mining to create intelligent multi-agent personalised learning system. Application of educational data mining to create intelligent multi-agent personalised learning system.
Irina Krikun. (2017) Applying learning analytics methods to enhance learning quality and effectiveness in virtual learning environments. Applying learning analytics methods to enhance learning quality and effectiveness in virtual learning environments.
Bertil P. Marques, Jaime E. Villate & Carlos Vaz Carvalho. (2017) Analytics of student behaviour in a learning management system as a predictor of learning success. Analytics of student behaviour in a learning management system as a predictor of learning success.
Ana M Mogus, Ivana Djurdjevic & Nenad Suvak. (2012) The impact of student activity in a virtual learning environment on their final mark. Active Learning in Higher Education 13:3, pages 177-189.
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