Nouri, J., Hegestedt, R. & Rundquist, R. (2023). Forskningsinsatsens lärdomar. Rapport: Datadriven skolförbättring – Att bygga agerbar kunskap om sin verksamhet. IFOUS.
Li, X., Henriksson, A., Nouri, J., Duneld, M., & Wu, Y. (2023). Linking Swedish Learning Materials to Exercises through an AI-enhanced Recommender System. Accepted In: Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference. Cham: Springer International Publishing
Afzaal, M., Nouri, J., & Zia, A. (2023). A Transformer-Based Approach for the Automatic Generation of Concept-Wise Exercises to Provide Personalized Learning Support to Students. Accepted In: Eighteenth European Conference on Technology Enhanced Learning. EC-TEL 2023
Wu, Y., Henriksson, A., Duneld, M., Nouri, J.(2023). Towards Improving the Reliability and Transparency of ChatGPT for Educational Question Answering. Accepted In: Eighteenth European Conference on Technology Enhanced Learning. EC-TEL 2023. Lecture Notes in Computer Science
Afzaal, M., Nouri, J., Zia, A., & Fors, U. (2023). Informative Feedback and Explainable AI- based Recommendations to Support Students’ Self-regulation. Technology, Knowledge and Learning
Wu, Y., Henriksson, A., Nouri, J., Duneld, M., Li, X. (2023). Retrieving Key Topical Sentences with Topic-Aware BERT When Conducting Automated Essay Scoring. In: , et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference. MIS4TEL 2022. Lecture Notes in Networks and Systems, vol 580. Springer
Wu Y, Henriksson A, Nouri J, Duneld M, Li X. Beyond Benchmarks: Spotting Key Topical Sentences While Improving Automated Essay Scoring Performance with Topic-Aware BERT. Electronics. 2023; 12(1):150.
Wu Y, Nouri J, Megyesi, B, Henriksson A, Duneld M, Li X.
Towards Data-effective Educational Question Generation with Prompt-based Learning. Proceedings of Computing Conference 2023
Li, X., Nouri, J., Henriksson, A., Duneld, M., & Wu, Y. (2022, November). Automatic Educational Concept Extraction Using NLP. In Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference (pp. 133-138). Cham: Springer International Publishing.
Shruggs, R., Nouri, J. & Klingberg, T. (2022) Using Knowledge Tracing to Predict Students’ Performance in Cognitive Training and Math. The 23rd International Conference on Artificial Intelligence in Education.
Wu, Y., Henriksson, A., Nouri, J., Duneld, M., Li, X. (2022). Retrieving Key Topical Sentences With Topic-aware BERT when Conducting Automated Essay Scoring. Accepted for publication in Proceedings of the 12th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL).
Li, X., Nouri, J., Henriksson, A., Duneld, M., Wu, Y. (2022). Automatic Educational Concept Extraction Using NLP. Accepted for publication in Proceedings of the 12th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL).
Afzaal M, Nouri J, Zia A, Papapetrou P, Fors U, Wu Y, Li X and Weegar R (2022) Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation. Front. Artif. Intell. 4:723447. doi: 10.3389/frai.2021.723447
Wu Y., Nouri J., Li X., Weegar R., Afzaal M., Zia A. (2021) Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups. In: De Laet T., Klemke R., Alario-Hoyos C., Hilliger I., Ortega-Arranz A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science, vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_2
Wu Y., Nouri J., Li X., Weegar R., Afzaal M., Zia A. (2021) A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation. In: Roll I., McNamara D., Sosnovsky S., Luckin R., Dimitrova V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12749. Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_70
Afzaal, M., Nouri, J., Zia, A., Papapetrou, P., Fors, U., Wu, Y., … & Weegar, R. (2021, June). Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning. In International Conference on Artificial Intelligence in Education (pp. 37-42). Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_6
Afzaal, M., Nouri, J., Zia, A., Papapetrou, P., Fors, U., Wu, Y., … & Weegar, R. (2021, July). Automatic and Intelligent Recommendations to Support Students’ Self-Regulation. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 336-338). IEEE.https://doi.org/10.1109/ICALT52272.2021.00107
Zia, A., Nouri, J., Afzaal, M., Wu, Y., Li, X., & Weegar, R. (2021, June). An Ensemble Approach for Question-Level Knowledge Tracing. In the International Conference on Artificial Intelligence in Education (pp. 433-437). Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_77
Zia, A., Nouri, J., Afzaal, M., Wu, Y., Li, X., & Weegar, R. (2021, July). A step towards Improving Knowledge Tracing. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 38-39). IEEE. https://doi.org/10.1109/ICALT52272.2021.00019
Saqr, M & Nouri, J. (2020). High resolution temporal network analysis to understand and improve collaborative learning. 10th International Conference on Learning Analytics and Knowledge (LAK20) to be held in Frankfurt am Main, Germany, March 23-27, 2020.
Bergdahl, N & Nouri, J. (2019). The use of multimodal learning analytics and sensors for capturing engagement and disengagement in school. CROSSMMLA workshop, European Conference on Technology Enhanced Learning, 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).
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.