Dr. Daniele Di Mitri

Daniele Di Mitri is a research team leader of the "Augmented Feedback" group at DIPF Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German informatics society and received the "Martin Wolpers Award" in technology-enhanced learning 2018. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

• Multimodal Learning Analytics
• Artificial Intelligence in Education
• Technology-Enhanced Learning
• Machine Learning
• Human Computer Interaction

• Model for Hybrid Teaching (HyTea)
• 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

Publikationen

Journal Articles (Peer-reviewed Journals)

2021

• Ciordas-Hertel, G.‑P., Rödling, S., Schneider, J., Di Mitri, D., Weidlich, J. & Drachsler, H. (2021). Mobile sensing with smart wearables of the physical context of distance learning students to consider its effects on learning. Sensors, 21(19), 6649. doi: 10.3390/s21196649 🔓
• Di Mitri, D., Schneider, J. & Drachsler, H. (2021). Keep me in the loop: Real-time feedback with multimodal data. International Journal of Artificial Intelligence in Education, online first. doi: 10.1007/s40593-021-00281-z 🔓
• Di Mitri, D., Schneider, J. & Drachsler, H. (2021). Keep Me in the Loop: Real-Time Feedback with Multimodal Data. International Journal of Artificial Intelligence in Education, online first. doi: 10.1007/s40593-021-00281-z 🔓
• Mavrikis, M., Cukurova, M., Di Mitri, D., Schneider, J. & Drachsler, H. (2021). A short history, emerging challenges and co-operation structures for Artificial Intelligence in education. Bildung und Erziehung, 249-263. doi: 10.13109/buer.2021.74.3.249
• Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M. & Drachsler, H. (2021). Are we there yet? A systematic literature review on chatbots in education. Frontiers in Artificial Intelligence, 4:654924. doi: 10.3389/frai.2021.654924 🔓

4. Beiträge in Sammelbänden (S)

2022

• Ahmad, A., Schneider, J., Weidlich, J., Di Mitri, D., Yau, J., Schiffner, D. & Drachsler, H. (2022). What indicators can I serve you with? An evaluation of a research-driven learning analytics indicator repository. In M. Cukurova, N. Rummel, D. Gillet, B. McLaren & J. Uhumoibhi (Hrsg.), Proceedings of the 14th International Conference on Computer Supported Education (CSEDU 2022) (S. 58-68). Setúbal: Science and Technology Publications. doi: 10.5220/0010995800003182
• Khazanchi, R., Di Mitri, D. & Drachsler, H. (2022). Impact of intelligent tutoring systems on mathematics achievement of underachieving students. In E. Langran & A. Eguchi (Hrsg.), Proceedings of Society for Information Technology and Teacher Education, 33rd International Conference, April 11-15, San Diego & online (S. 1358-1367). Waynesville: Association for the Advancement of Computing in Education. Abgerufen unter: https://www.learntechlib.org/primary/p/220916/

2021

• Buraha, T., Schneider, J., Di Mitri, D. & Schiffner, D. (2021). Analysis of the "D'oh!" moments: Physiological markers of performance in cognitive switching tasks. In T. De Laet, R. Klemke, C. Alario-Hoyos, I. Hilliger & A. Ortega-Arranz (Hrsg.), Technology-enhanced learning for a free, safe, and sustainable world: 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano, Italy, September 20-24, 2021, proceedings (Lecture Notes in Computer Science, Bd. 12884, S. 137-148). Cham: Springer. doi: 10.1007/978-3-030-86436-1_11 🔓

Book Chapters

2021

• Di Mitri, D. (2021). Restoring context in online teaching with artificial intelligence and multimodal learning experiences. In E. Langran & D. Rutledge (Hrsg.), Proceedings of SITE Interactive Conference, Oct 26, online (S. 494-501). Waynesville: Association for the Advancement of Computing in Education (AACE). Abgerufen unter: https://www.learntechlib.org/primary/p/220376/
• Karademir, O., Ahmad, A., Schneider, J., Di Mitri, D., Jivet, I. & Drachsler, H. (2021). Designing the learning analytics cockpit: A dashboard that enables interventions. In F. De la Prieta, R. Gennari, M. Temperini, T. Di Mascio, P. Vittorini, Z. Kubincova, E. Popescu, D. Rua Carneiro, L. Lancia & A. Addone (Hrsg.), Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL), 11th International Conference (Lecture Notes in Networks and Systems, Bd. 326, S. 95-104). Cham: Springer. doi: 10.1007/978-3-030-86618-1_10

2020

• Di Mitri, D., Schneider, J., Trebing, K., Sopka, S., Specht, M. & Drachsler, H. (2020). Real-time multimodal feedback with the CPR Tutor. In I. I. Bittencourt, M. Cukurova, K. Muldner, R. Luckin & E. Millán (Hrsg.), Artificial Intelligence in education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6-10, 2020, proceedings (Lecture Notes in Computer Science, Bd. 12163, S. 141-152). Cham: Springer. doi: 10.1007/978-3-030-52237-7_12
• Schneider, J., Di Mitri, D., Limbu, B. & Drachsler, H. (2020). Der multimodale Lern-Hub: Ein Werkzeug zur Erfassung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen. In R. A. Fürst (Hrsg.), Digitale Bildung und Künstliche Intelligenz in Deutschland: Nachhaltige Wettbewerbsfähigkeit und Zukunftsagenda (AKAD University Edition, S. 537-557). Wiesbaden: Springer. doi: 10.1007/978-3-658-30525-3_23