Publications

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).

Nouri, J., Ebner, M., Ifenthaler, D., Saqr, M., Malmberg, J., Khalil, M., Viberg, O., Bruun, J., Conde-Gonzalez, M., Papamitsiou, Z. & Berthelsen, U. (2019). Efforts in Europe for Data-Driven Improvement of Education – A review of learning analytics research in seven countries. International Journal of Learning Analytics and Artificial Intelligence for Education. 1(1).

Nouri, J., Larsson, K. & Saqr, M. (2019). Bachelor thesis analytics: using machine learning to predict dropout and identify performance factors. International Journal of Learning Analytics and Artificial Intelligence for Education. 1(1).

Nouri, J. (2019). Editorial of the First Issue of the International Journal of Learning
Analytics and Artificial Intelligence for Education. International Journal of Learning Analytics and Artificial Intelligence for Education. 1(1).

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).

Saqr, M., Fors, U., Nouri, J. (2018). Using Social Network Analysis to Understand Online Problem Based Learning and Predict Performance. PLoS One.

Saqr, M., Nouri, J. Fors, U. (2018). Time to focus on the temporal dimension of learning. A learning analytics study of the temporal patterns of students’ interactions and self-regulation. International Journal of Technology Enhanced Learning.

Saqr, M., Nouri, J. & Fors, U. (2018). Temporality matters. A learning analytics study of the patterns of interactions and its relation to performance. In  International Conference on Education and New Learning Technologies.

Saqr, M., Fors, U., Tedre, M. & Nouri, J. (2018). How Social Network Analysis Can Be Used to Monitor Online Collaborative Learning and Guide an Informed Intervention. PLoS One.

Saqr. M, Nouri, J. & Fors, U. (2018). What shapes the communities of learners in a medical school. In  International Conference on Education and New Learning Technologies.

Nouri, J. Åkerfeldt, A., Fors, U., Selander, S. (2017). Assessing collaborative problem solving skills in technology-enhanced learning environments – the PISA framework and modes of communication. International Journal of Emerging Technologies in Learning. [S.l.], v. 12, n. 04, p. pp. 163-174

Karunaratne T., and Byungura J. (2017). Using log data of virtual learning environments to examine the effectiveness of online learning for teacher education in Rwanda, In Proceedings of the 2017 International conference IST-Africa, 31 May – 02 June 2017, Windhoek, Namibia.

Karunaratne, T., Hansson, H., and Aghaee N. 2017. The effect of multiple change processes on quality and completion rate of theses: A longitudinal study. Journal of Assessment in Education: Principles, Policy & Practice. Routledge, Taylor & Francis online, DOI: http://dx.doi.org/10.1080/0969594X.2017.1303442

Saqr, M. (2018). Using Learning Analytics to Understand and Support Collaborative Learning. Doctoral Thesis, Stockholm University. (Supervisors: Uno Fors and Jalal Nouri).

Olsson U. & Karunaratne T. (2018). Is it Ethical to NOT use algorithms in teaching? NU2018.

Hansson H., Peiris R., Olsson U. & Karunaratne T. (2014) The Cultural Dimension of Learning Analytics in PhD Education – Defining Issues and a Framework for International Adaptions: Extended Abstract. In DSV Writers Hut 2014 Proceedings, August 21-22, Åkersbega, Sweden. Edited by Gustaf Juell-Skielse. Stockholm University.

Olsson, U. (2007). Open flexible learning – for whom? Predictors of academic success in a university course. Thesis.