We received the best paper award for our paper presented at the International Conference of Education, Training and Informatics. See reference below.
Nouri, J., Saqr, M & Fors, U. (2019). Predicting performance of students in a flipped classroom using machine learning: towards automated data-driven formative feedback. 10th International Conference on Education, Training and Informatics (ICETI 2019).
The Learning Analytics Group got two papers accepted in ECTEL 2019:
- Nouri, J., Larsson, K., & Saqr, M. (2019). Identifying factors for master thesis completion and non-completion through learning analytics and machine learning. In proceedings of 14th European Conference on Technology Enhanced Learning (EC-TEL).
- Saqr, M., Nouri, J. & Jormanainen, I. (2019). A learning analytics study of the effect of group size on social dynamics and performance in online collaborative learning. In proceedings of 14th European Conference on Technology Enhanced Learning (EC-TEL).
We are happy to announce that the first issue of the International Journal of Learning Analytics and Artificial Intelligence for Education is now published. See the full issue at: www.i-jai.org
The Nordic Learning Analytics Research Symposium took place at Copenhagen University the 21-22st of November gathering nordic researchers focusing on learning analytics. Jalal attended the symposium as the representative of the learning analytics research group at Stockholm University.
Paper written by Jalal Nouri, Mohammed Saqr and Uno Fors has been accepted to be presented at ICETI 2019. The paper focus on the application of machine learning methods to understand and improve digital assessment.
Mohammed Saqr successfully defended his thesis “Using Learning Analytics to Understand and Support Collaborative Learning” the 22nd October. Professor Barbara Wasson from the Centre for the Science of Learning & Technology (University of Bergen) acted as opponent and she did a great job in both enlighting the audience about the field of Learning Analytics as well as shedding light on the contributions of Mohammeds thesis to the field.
Grading committee: Associate professor Luis Pablo Prieto Santos (Tallin University), Associate professor Mona Lundin (Gothenbourg University) and Professor Tore West (Stockholm University)
Supervisors: Uno Fors and Jalal Nouri
Paper written by Jalal Nouri, Mohammed Saqr and Uno Fors submitted to ICETI 2019 focusing on the application of machine learning methods to understand and improve digital assessment.
Paper sent to LAK 2019 written by Mohammed Saqr, Jalal Nouri, Uno Fors och Marc Santolini focusing on the application of social network analysis and machine learning methods to monitor and predict productive collaborative learning in online enviroments.