Conference publications

Di Mitri, D., Scheffel, M., Drachsler, H., Börner, D., Ternier, S., & Specht, M. (2017). Learning Pulse: a Machine Learning Approach for Predicting Performance in Self-Regulated Learning Using Multimodal Data. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference 2017 (LAK '17) (pp. 188-197). New York, NY, USA. ACM. DOI: 10.1145/3027385.3027447 PDF preprint

Guest, W., Wild, F., Vovk, A., Fominykh, M., Limbu, B., Klemke, R. Sharma, P., Karjalainen, J., Smith, C., Rasool, J., Aswat, S., Helin, K., Di Mitri, D., and Schneider, J. (2017). Affordances for Capturing and Re-enacting Expert Performance with Wearables. In: É. Lavoué, H. Drachsler, K. Verbert, J. Broisin and M. Pérez-Sanagustín Eds. The 12th European Conference on Technology Enhanced Learning (ECTEL), Tallinn, Estonia, September 12–15, 2017, Springer, Book Series: Lecture Notes in Computer Science LNCS, ISSN 0302-9743, volume 10484, ISBN 978-3-319-66609-9, Online ISBN 978-3-319-66610-5, pp. 403–409. DOI: 10.1007/978-3-319-66610-5_34
Springer  Preprint

Journal publications

Di Mitri, D., Drachsler, H., & Specht, M. (2017). From signals to knowledge. A conceptual model for multimodal learning analytics. Journal of Computer Assisted Learning, In press.

Workshop publications

Di Mitri, D., Scheffel, M., Drachsler, H., Börner, D., Ternier, S., & Specht, M. (2016). Learning Pulse: Using Wearable Biosensors and Learning Analytics to Investigate and Predict Learning Success in Self-regulated Learning. In R. Martinez-Maldonado & D. Hernandez-Leo (Eds.), Proceedings of the First International Workshop on Learning Analytics Across Physical and Digital Spaces, Vol. 1601 (pp. 34-39): CEUR Proceedings.

Di Mitri, D. (2017). Digital Learning Projection. Learning performance estimation from multimodal learning experiences. In E. André, R. Baker, X. Hu, Ma. M.T. Rodrigo, & B. du Boulay (Eds.), Proceedings of AIED 2017, 18th International Conference on Artificial Intelligence in Education (pp. 609–612). Wuhan, China: Springer International Publishing, 28 June–1 July 2017. PDF Slides

Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2018) The Big Five: Addressing Recurrent Multimodal Learning Data Challenges. In R. Martinez-Maldonado & D. Hernandez-Leo (Eds.), Proceedings of the  International Workshop on Learning Analytics Across Physical and Digital Spaces, CEUR Proceedings. PDF Slides

Project deliverables

Klemke, R. (Ed.), Di Mitri, D., Limbu, B., Schneider, J., Sharma, P., Wild, F., Azam, T. (2017, 4 July). Software Prototype with Sensor Fusion API Specification and Usage Description. WEKIT project delivarable D3.3. Retrieved from http://wekit.studiohangloose.it/wp-content/uploads/2017/06/WEKIT_D3.3.pdf

Presentations

Klemke, R., Limbu, B., Di Mitri, D., & Schneider, J. (2017, 27 November). Wearable Experience for Knowledge Intensive Training. Presentation to visitors from Open University of Shanghai. Heerlen, The Netherlands.

Lectures

Di Mitri, D. (2018, 22 January) Multimodal Learning Analytics: 
an IoT approach for social signals. Guest lecture at Hogeschool Zuyd, Internet of Things Course.