This is the most up-to-date list of my research experience. You can also find me in other Academic exchange platforms:

Journal publications

2018

Di Mitri D, Schneider J, Specht M, Drachsler H. From signals to knowledge: A conceptual model for multimodal learning analytics. J Comput Assist Learn. 2018;34:338–349. https://doi.org/10.1111/jcal.12288

Conference proceedings publications

2019

Di Mitri D., Schneider J., Specht M., Drachsler H. (2019) Read Between the Lines: An Annotation Tool for Multimodal Data for Learning. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge  - LAK19 (pp. 51–60). New York, NY, USA: ACM. http://doi.org/10.1145/3303772.3303776

2018

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. http://doi.org/10.1007/978-3-319-93846-2_96

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.

2017

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.

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

2016

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.

Workshop proceedings publication

2019

Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2019) 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

2018

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.

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

2017

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

Project deliverables

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.

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.

Presentations

Di Mitri, D. (2019, 6 March). Read Between The Lines. Paper Presentation at the 9th Learning Analytics & Knowledge conference 2018, Tempe, Arizona, United States. Slideshare

Di Mitri, D. (2017, 15 March). Learning Pulse. Paper Presentation at the 7th 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 Heerlen, The Netherlands.

Di Mitri, D. (2018, 24 November) Multimodal Tutors: Enhancing learning using multimodal data and machine learning. OU Informatica StudieDag, Eindhoven, The Netherlands.

Awards

Schneider, J., Di Mitri, D., Drachsler, H. (2019) Best Demonstration Award at LAK19 with "Multimodal Tutor Builder Kit".

Di Mitri, D. (2018, 9 September) Martin Wolpers Award to the most young promising researcher at the 14th EATEL Summer School on Technology-Enhanced Learning.  Martin Wolpers’ Award, funded by Research Institute for Innovation & Technology in Education (UNIR iTED) at Universidad Internacional de La Rioja.

Courses

February 2019 - ICT-ILO Course on Multimodal Learning Experiences

Reviewing experience

Conferences

  • 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
  • Artificial Intelligence in Education (AIED'19) 2019

Journals

  • International Journal of Serious Games IJSG 2019
  • Journal of Computer Assisted Learning, JCAL 2018 Special Issue
  • Transction on Learning Technologies 2019