Journal publications

Di Mitri D., Schneider J., Specht M., Drachsler H. (2018) From signals to knowledge: A conceptual model for multimodal learning analytics.  Journal of Computer Assisted Learning.  34(4), 338–349. doi: 10.1111/jcal.12288

Conference proceedings 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.

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. DOI: 10.1007/978-3-319-61425-0

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. (2018) Multimodal Tutor for CPR. In: Penstein Rosé C. et al. (eds) Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science, vol 10948. Springer, Cham. DOI: 10.1007/978-3-319-93846-2_96

Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2018) The Big Five: Addressing Recurrent Multimodal Learning Data Challenges. In R. Martinez-Maldonado et al. (Eds.), Proceedings of the Second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA), Vol. 2163. CEUR Proceedings. http://ceur-ws.org/Vol-2163/#paper6

Schneider, J., Di Mitri, D., Limbu, B. & Drachsler, H. (2018). Multimodal Learning Hub: a tool for capturing customizable multimodal learning experiences. In European Conference on Technology Enhanced Learning. Springer, Cham.

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: Lavoué É., Drachsler H., Verbert K., Broisin J., Pérez-Sanagustín M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science, vol 10474. Springer, Cham. DOI: 10.1007/978-3-319-66610-5_34

Workshop proceedings publication

Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2018) Multimodal Challenge: Analytics Beyond User-computer Interaction Data. In Pardo, A., Bartimote, K., Lynch, G., Buckingham Shum, S., Ferguson, R., Merceron, A., & Ochoa, X. (Eds.). (2018). Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 362-365). Sydney, Australia: Society for Learning Analytics Research.

 

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 deliverable D3.3.

Klemke, R. (Ed.), Di Mitri, D., Limbu, B., Sharma (2018). Software Prototype with Sensor Fusion API Specification and Usage Description. WEKIT project deliverable D3.6. Under review.

Presentations

Di Mitri, D. (2017, 15 March). Learning Pulse. Paper Presentation at the Learning Analytics & Knowledge conference 2017, Vancouver, Canada.

Di Mitri, D. (2017, 14 March). Digital Learning Projection: Learning State Estimation From Multimodal Learning Experiences. Presentation at the Doctoral Consortium of the Learning Analytics & Knowledge conference 2017. Vancouver, Canada.

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.

Reviewing experience

  • Learning Analytics & Knowledge conference (LAK'17) 2017
  • Learning Analytics & Knowledge conference (LAK'18) 2018
  • Learning Analytics & Knowledge conference (LAK'19) 2019
  • Technology Enhanced Learning conference (EC-TEL'17) 2017
  • Technology Enhanced Learning conference (EC-TEL'18) 2018
  • Computer-Human Interaction conference (CHI'19) 2019
  •  Journal of Computer Assisted Learning, Special Issue