Research Group Leader in Artificial Intelligence in Education at DIPF
Information Center for Education
Rostocker Straße 6, 60323 Frankfurt am Main
LinkedIn • Google Scholar • Twitter • SlideShare
Telephone: +49 (0) 69-24708-386
Email: dimitri [at] dipf.de
- Multimodal Learning Analytics
- Artificial Intelligence in Education
- Technology-Enhanced Learning
- Machine Learning
- Human Computer Interaction
- Multimodal Tutor for CPR
- Learning Pulse
- Visual Inspection Tool
- Nexus speech assistant
- Mobius - transportation mode recognition
- PhD in Learning Analyics and Wearable-Sensors Support Open University of the Netherlands, Heerlen Netherlands 2020
- Master of Science in Artificial Intelligence, Department of Data Science and Knowledge Engineering, Maastricht University 2016
- Bachelor of Science in Computer Science and Digital Communication, University of Bari, Italy 2020
Selected Publications
- Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2019). Detecting mistakes in CPR training with multimodal data and neural networks. Sensors (Switzerland), 19(14), 1–20. DOI: 10.3390/s19143099
- 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
- Di Mitri, D., Schneider, J., Trebing, K., Sopka, S., Specht, M. & Drachsler, H. (2020) Real-time Multimodal Feedback with the CPR Tutor. In: Bittencourt, I.I., Cukurova, M. & Muldner, K. (eds) Artificial Intelligence in Education. AIED 2020. Lecture Notes in Computer Science. Springer, Cham. DOI: 10.1007/978-3-030-52237-7_12
- Di Mitri, D., Schneider, J., Specht, M., Drachsler, H. (2019) The Multimodal Learning Analytics Pipeline. In Proceedings of the Artificial Intelligence and Adaptive Education Conference - AIAED'19. Beijing, China: IEEE.
- 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. DOI: 10.1145/3303772.3303776
- 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
- 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. DOI: 10.1007/978-3-319-98572-5_4
- 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