| How learning analytics can early predict under-achieving students in a blended medical education course M Saqr, U Fors, M Tedre Medical teacher 39 (7), 757-767, 2017 | 84 | 2017 |
| How social network analysis can be used to monitor online collaborative learning and guide an informed intervention M Saqr, U Fors, M Tedre, J Nouri PloS one 13 (3), e0194777, 2018 | 50 | 2018 |
| How the study of online collaborative learning can guide teachers and predict students’ performance in a medical course M Saqr, U Fors, M Tedre BMC medical education 18 (1), 1-14, 2018 | 43 | 2018 |
| Using social network analysis to understand online Problem-Based Learning and predict performance M Saqr, U Fors, J Nouri PloS one 13 (9), e0203590, 2018 | 40 | 2018 |
| The role of social network analysis as a learning analytics tool in online problem based learning M Saqr, A Alamro BMC medical education 19 (1), 1-11, 2019 | 21 | 2019 |
| Efforts in Europe for Data-Driven Improvement of Education–A review of learning analytics research in six countries J Nouri, M Ebner, D Ifenthaler, M Sqr, J Malmberg, M Khalil, J Bruun, ... International Journal of Learning Analytics and Artificial Intelligence for …, 2019 | 16 | 2019 |
| A literature review of empirical research on learning analytics in medical education M Saqr International journal of health sciences 12 (2), 80, 2018 | 16 | 2018 |
| Big data and the emerging ethical challenges M Saqr International journal of health sciences 11 (4), 1, 2017 | 14 | 2017 |
| Time to focus on the temporal dimension of learning: A learning analytics study of the temporal patterns of students' interactions and self-regulation M Saqr, J Nouri, U Fors International Journal of Technology Enhanced Learning 11 (4), 398-412, 2019 | 13 | 2019 |
| Learning analytics and medical education M Saqr International journal of health sciences 9 (4), 2015 | 12 | 2015 |
| COVID-19: Lost Opportunities and Lessons for the Future M Saqr, B Wasson IJHS, 2020 | 11 | 2020 |
| A Research Agenda for the Why, What, and How of Gamification Designs: Outcomes of an ECIS 2019 Panel S Schöbel, A Janson, K Jahn, B Kordyaka, O Turetken, N Djafarova, ... Communications of the association for information systems 46 (1), 30, 2020 | 11 | 2020 |
| What makes an online problem-based group successful? A learning analytics study using social network analysis M Saqr, J Nouri, H Vartiainen, J Malmberg BMC medical education 20 (1), 1-11, 2020 | 10 | 2020 |
| Predicting performance of students in a flipped classroom using machine learning: towards automated data-driven formative feedback J Nouri, M Saqr, U Fors 10th International Conference on Education, Training and Informatics (ICETI …, 2019 | 7 | 2019 |
| Capturing the participation and social dimensions of computer-supported collaborative learning through social network analysis: which method and measures matter? M Saqr, O Viberg, H Vartiainen International Journal of Computer-Supported Collaborative Learning 15 (2 …, 2020 | 6 | 2020 |
| A Learning Analytics Study of the Effect of Group Size on Social Dynamics and Performance in Online Collaborative Learning M Saqr, J Nouri, I Jormanainen Lecture Notes in Computer Science 11722, 466-479, 2019 | 6 | 2019 |
| Identifying factors for master thesis completion and non-completion through learning analytics and machine learning J Nouri, K Larsson, M Saqr Lecture Notes in Computer Science 11722, 28-39, 2019 | 5 | 2019 |
| Bachelor thesis analytics: using machine learning to predict dropout and identify performance factors J Nouri, K Larsson, M Saqr International journal of learning analytics and artificial intelligence for …, 2019 | 5 | 2019 |
| The Study of Online Clinical Case Discussions with the Means of Social Network Analysis and Data Mining Techniques M Saqr, A Alghasham, H Kamal AMEE 2014, 2014 | 4 | 2014 |
| Applying Learning Analytics to Map Students’ Self-Regulated Learning Tactics in an Academic Writing Course W Peeters, M SAQR, O VIBERG | 3 | 2020 |
Jalal NouriAssociate professor at Stockholm UniversityVerified email at dsv.su.se
