| Identifying Factors of Students’ Failure in Blended Courses by Analyzing Students’ Engagement Data EK Ioannis Georgakopoulos, Miltiadis Chalikias, Vassilis Zakopoulos Education Sciences, 2020 | 25 | 2020 |
| Intelligent predictive analytics for identifying students at risk of failure in Moodle courses T Anagnostopoulos, C Kytagias, T Xanthopoulos, I Georgakopoulos, ... Intelligent Tutoring Systems: 16th International Conference, ITS 2020 …, 2020 | 22 | 2020 |
| A Prediction Model for Remote Lab Courses Designed upon the Principles of Education for Sustainable Development I Georgakopoulos, D Piromalis, S Ntanos, V Zakopoulos, P Makrygiannis Sustainability 15 (6), 5473, 2023 | 14 | 2023 |
| Identifying risks factors of students' failure in e-learning systems: towards a warning system I Georgakopoulos, C Kytagias, Y Psaromiligkos, A Voudouri International Journal of Decision Support Systems 3 (3-4), 190-206, 2018 | 13 | 2018 |
| Developing a Risk Model to identify factors which critically affect Secondary School students’ performance in Mathematics. S Tsakirtzis, I Georgakopoulos Journal for the Mathematics Education and Teaching Practices 1 (2), 63-72, 2020 | 8 | 2020 |
| Controlling Attrition in Blended Courses by Identifying Students at Risk: A Case Study on MS-Teams DK Vassilis Zakopoulos, Ioannis Georgakopoulos , Evaggelia Kossieri International Journal of Finance, Insurance and Risk Management, 2021 | 5* | 2021 |
| Generating a Model to Predict Secondary School Students at Risk in Mathematics. I Georgakopoulos, S Tsakirtzis International Electronic Journal of Mathematics Education 16 (2), 2021 | 5 | 2021 |
| A Robust Risk Model to Identify Factors that Affect Students’ Critical Achievement in Remote Lab Courses I Georgakopoulos, D Piromalis, PS Makrygiannis, V Zakopoulos, ... Int. J. Econ. Bus. Adm 10, 3-22, 2022 | 3 | 2022 |
| A Framework to Identify Non-Achievers in eLearning Business Informatics Lab Courses V Zakopoulos, I Georgakopoulos, C Dalakouras, P Dimitrakopoulos, ... Journal of Comprehensive Business Administration Research, 2024 | 1 | 2024 |
| Developing a risk model to control attrition by analyzing students’ academic and nonacademic data V Zakopoulos, I Georgakopoulos, P Kontaxaki University of Piraeus. International Strategic Management Association, 2022 | 1 | 2022 |
| Identifying Factors which Critically Affect Students' Failure in Blended Courses. I Georgakopoulos, MS Chalikias, V Zakopoulos, E Kossieri HAICTA, 12-18, 2020 | 1 | 2020 |
| Identifying Defects in Learning Design through a Risk Analysis Process based on Learning Analytics ID Georgakopoulos, CD Kytagias, I Liomas, Y Psaromiligkos, A Voudouri UNDER THE AUSPICES 104, 0 | 1 | |
| Predicting Students’ Performance using Moodle Analytics-The “CONNECT” approach V Zakopoulos, I Georgakopoulos The “CONNECT Approach” Handbook can assume the role of a piloting guide in …, 2023 | | 2023 |
| Investigating factors affecting secondary school non-achievers in mathematics before and after the pandemic TC TSAKİRTZİS Stylıanos, Georgakopoulos Ioannis Journal for the Mathematics Education and Teaching Practices 4 (2), 67-76, 2023 | | 2023 |
| Identifying factors which critically affect students’ failure in blended courses V Zakopoulos, M Chalikias, E Kossieri, I Georgakopoulos Proceedings of the 9th International Conference on Information and …, 2020 | | 2020 |
| Identifying risks factors of students' failure in e-learning systems: towards a warning system C Kytagias, I Georgakopoulos, IY Psaromiligkos, A Voudouri International Journal of Decision Support Systems, 2019 | | 2019 |
| Identifying Defects in Learning Design through a Risk Analysis Process based on Learning Analytics C Kytagias, I Georgakopoulos, I Liomas, IY Psaromiligkos, A Voudouri Proceedings of the 5th International Symposium and 27th National Conference …, 2016 | | 2016 |
| Predicting Students’ Performance using Moodle Analytics-The “CONNECT” approach I Georgakopoulos, V Zakopoulos The “CONNECT Approach” Handbook can assume the role of a piloting guide in …, 0 | | |
