Publications

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

Academic publications

Daniele counts 57 publications, 948 citations, and 13 H-index starting from 2014 (Google Scholar, March 2024).

Journal publications

  1. Karademir, O., Di Mitri, D., Schneider, J., Jivet, I., Allmang, J., Gombert, S., Kubsch, M., Neumann, K., Drachsler, H. (2023). I don’t have time! But keep me in the loop: Co-Designing Requirements for a Learning Analytics Cockpit with teachers. Journal of Computer-Assisted Learning (accepted, in publication)
  2. Cardenas Hernandez, F. P., Schneider, J., Di Mitri, D., Jivet, I., & Drachsler, H. (2024). Beyond hard workout: A multimodal framework for personalised running train- ing with immersive technologies. British Journal of Educational Technology, 00, 1–32. doi: 10.1111/bjet.13445
  3. Gombert, S., Fink, A., Giorgashvili, T., Jivet, I., Di Mitri, D., Yau, J., … Drachsler, H. (2024). From the Automated Assessment of Student Essay Content to Highly Informative Feedback: A Case Study. International Journal of Artificial Intelligence in Education. doi: 10.1007/s40593-023-00387-6
  4. Zanellati, A., Di Mitri, D., Gabbrielli, M., & Levrini, O. (2023). Hybrid Models for Knowledge Tracing: A Systematic Literature Review. IEEE Transactions on Learning Technologies, 1–16. doi: 10.1109/TLT.2023.3348690
  5. Khazanchi, R., Di Mitri, D. & Drachsler, H. (2023). Measuring Efficacy of ALEKS as a Supportive Instructional Tool in K-12 Math Classroom with Underachieving Stu- dents. Journal of Computers in Mathematics and Science Teaching, 42(2), 155-176. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/p/221775.
  6. Wollny, S., Di Mitri, D., Jivet, I., Muñoz-Merino, P., Scheffel, M., Schneider, J., Tsai, Y.-S., Whitelock-Wainwright, A., Gašević, D., & Drachsler, H. (2023). Students’ expectations of Learning Analytics across Europe. Journal of Computer Assisted Learning, 1– 14. doi: 10.1111/jcal.12802
  7. Gombert, S., Di Mitri, D., Karademir, O., Kubsch, M., Kolbe, H., Tautz, S., Grimm, A., Bohm, I., Neumann, K., & Drachsler, H. (2022). Coding energy knowledge in con- structed responses with explainable NLP models. Journal of Computer Assisted Learn- ing, 1– 20. doi: 10.1111/jcal.12767
  8. 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. doi: 10.1007/s40593-021-00281-z
  9. 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, 74(3), 249-263. doi: 10.13109/buer.2021.74.3.249
  10. 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. doi: 10.3389/frai.2021.654924
  11. 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.
  12. 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. (Most-cited publication)

Conference publications

  1. Epp, A., Schneider, J., & Di Mitri, D. (2023). Privacy-preserving multimodal learning analytics using visual animations of kinematic data. Higher Education Learning Method- ologies and Technologies Online 2023 (214–216), Foggia, Italy. ISBN: 978-88-99978-64-8
  2. Tobias, J.L., Di Mitri, D. (2023). Using Accessible Motion Capture in Educational Games for Sign language Learning. In: Viberg, O., Jivet, I., Muñoz-Merino, P., Peri- fanou, M., Papathoma, T. (eds) Responsive and Sustainable Educational Futures. EC- TEL 2023. Lecture Notes in Computer Science, vol 14200. Springer, Cham. doi: 10.1007/978-3-031-42682-7_74
  3. Menzel, L., Gombert, S., Di Mitri, D., Drachsler, H. (2022). Superpowers in the Classroom: Hyperchalk Is an Online Whiteboard for Learning Analytics Data Collection. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham. doi: 10.1007/978-3-031-16290-9_37 (best demo award)
  4. Böttger, F., Cetinkaya, U., Di Mitri, D., Gombert, S., Shingjergji, K., Iren, D., & Klemke, R. (2022). Privacy-Preserving and Scalable Affect Detection in Online Syn- chronous Learning. In I. Hilliger, P. J. Munoz-Merino, T. De Laet, A. Ortega-Arranz, & T. Farrell (Eds.), Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption (pp. 45–58). Cham: Springer International Publishing. doi:  10.1007/978-3-031-16290-9_4
  5. Khazanchi, R., Di Mitri, D. & Drachsler, H. (2022). Effects of Intelligent Tutoring Systems on Mathematics Achievement of Underachieving Students. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1358-1367). San Diego, CA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved April 26, 2022 from https://www.learntechlib.org/primary/p/220916/.
  6. Ahmad, A., Schneider, J., Weidlich, J., Di Mitri, D., Yau, J., Schiffner, D. and Drachsler, H. (2022). What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository. In Proceedings of the 14th International Conference on Computer Supported Education – Volume 1, ISBN 978-989-758-562-3, ISSN 2184-5026, pages 58-68.
  7. Di Mitri, D. (2021). Restoring Context in Online Teaching with Artificial Intelligence and Multimodal Learning Experiences. In E. Langran & D. Rutledge (Eds.), Proceedings of SITE Interactive Conference (pp. 494-501). Online, United States: Association for the Advancement of Computing in Education (AACE). Retrieved December 6, 2021 from https://www.learntechlib.org/primary/p/220376/.
  8. 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.
  9. Karademir O., Ahmad A., Schneider J., Di Mitri D., Jivet I., Drachsler H. (2022). Designing the Learning Analytics Cockpit - A Dashboard that Enables Interventions. In: De la Prieta F. et al. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference. MIS4TEL 2021. Lecture Notes in Networks and Systems, vol 326. Springer, Cham. doi: 10.1007/978-3-030-86618-1_10.
  10. 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: De Laet T., Klemke R., Alario-Hoyos C., Hilliger I., Ortega-Arranz A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science, vol 12884. Springer, Cham. doi: 10.1007/978-3-030-86436-1_11.
  11. Mat Sanusi, K. A., Di Mitri, D., Limbu, B., & Klemke, R. (2021). Table Tennis Tutor: Forehand Strokes Classification Based on Multimodal Data and Neural Networks. Sensors, 21(9), 3121. doi: 10.3390/s21093121
  12. Di Mitri, D., Asyraaf Mat Sanusi, K., Trebing, K., Bromuri, S. (2021). MO- BIUS: Smart Mobility Tracking with Smartphone Sensors. In: Paiva S., Lopes S.I., Zitouni R., Gupta N., Lopes S.F., Yonezawa T. (eds) Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham. doi: 10.1007/978-3-030-76063-2_31 (video) (slides) (best paper award)
  13. Di Mitri, D., Schneider, J., Trebing, K., Sopka, S., Specht, M., Drachsler, H. (2020). Real-time Multimodal Feedback with the CPR Tutor. In: Bitten- court, 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 (slides)
  14. 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. Re- searchGate (slides)
  15. 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 (slides)
  16. Guest, W., Wild, F., Di Mitri, D., Klemke, R., Karjalainen, J., & Helin, K. (2019, December). Architecture and design patterns for distributed, scalable augmented reality and wearable technology systems. In 2019 IEEE International Conference on Engineering, Technology and Education (TALE) (pp. 1-8). IEEE. doi: 10.1109 /TALE48000.2019.9225855.
  17. 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
  18. 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
  19. 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 (video) (slides)
  20. 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 publications

  1. Gombert, S., Menzel, L., Karademir, O., Di Mitri, D., & Drachsler, H. (2023). Making an Online Whiteboard Ready for Multimodal Interaction: Integrating Text-and Voice Chat into Hyperchalk. In K. A. M. Sanusi, B. Limbu, J. Schneider, M. Kravčík, & R. Klemke (Eds.), Proceedings of the Third International Workshop on Multimodal Immer- sive Learning Systems (MILeS 2023) (pp. 44-48). Aveiro, Portugal: CEUR. Retrieved from https://ceur-ws.org/Vol-3499/paper6.pdf
  2. Di Mitri, D., Gombert, S., & Karademir, O. (2022). Reflecting on the Actionable Com- ponents of a Model for Augmented Feedback. In K. A. M. Sanusi, B. Limbu, J. Schneider, D. Di Mitri, & R. Klemke (Eds.), Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems (MILeS 2022) (pp. 45–50). Toulouse, France: CEUR. Retrieved from http://ceur-ws.org/Vol-3247/#paper8
  3. Buraha, T., Schneider, J., Di Mitri, D. (2021) In Spikol, D. et al. (Eds.), Proceedings of the Third Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA).
  4. Di Mitri, D. (2019) Detecting Medical Simulation Errors with Machine learning and Multimodal Data. Doctoral Consortium of the Seventeenth Conference of Artificial Intelligence in Medicine (AIME’19). Poznań, Poland. (slides)
  5. Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2019) Multimodal Pipeline: A generic approach for handling multimodal data for supporting learn- ing. First workshop on AI-based Multimodal Analytics for Understanding Human Learning in Real-world Educational Contexts (AIMA4EDU) IJCAI’19 Macau, China (best paper award).
  6. Schneider, J., Di Mitri, D., Specht, M., & Drachsler, H. (2019) Multimodal Learning Analytics Runtime Framework. In Spikol, D. et al. (Eds.), Proceedings of the Third Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA).
  7. 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.
  8. 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
  9. 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 (slides)
  10. 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. http://ceur-ws.org/Vol-1601/Cross- LAK16Paper7.pdf

Books & Collections

  1. Di Mitri, D., Ortega-Arranz, A. & Poquet, O. (2023). Proceedings of the Doctoral Con- sortium of the 18th European Conference on Technology Enhanced Learning. Co-located with the 18th European Conference on Technology Enhanced Learning (EC-TEL 2023).Aveiro, Portugal. https://ceur-ws.org/Vol-3539/
  2. Di Mitri D., Srivastava, N., Martinez-Maldonado, R., Cukurova, M. & Spikol, D. (2023). Proceedings of the 6th CROSSMMLA workshop “Leveraging Multimodal Data for Generating Meaningful Feedback”. At the 13th International Learning Analytics & Knowledge (LAK’23). Arlington, Texas, United States: CEUR. Retrieved from https://ceur-ws.org/Vol-3439/.
  3. Jivet, I., Di Mitri, D., Schneider, J., Papamitsiou, Z., & Fominykh, M. (2022). Proceed- ings of the Doctoral Consortium of the 17th European Conference on Technology Enhanced Learning. Toulouse, France: CEUR. Retrieved from https://ceur-ws.org/Vol-3292/
  4. Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X., & Hammad, R. (Eds.). (2022). The Multimodal Learning Analytics Handbook (1st ed. 2022 edition). S.l.: Springer.
  5. Asyraaf Mat Sanusi, K., Limbu, B., Schneider, J., Di Mitri, D., & Klemke, R. (Eds.). (2022). Proceedings of the Second International Workshop on Multimodal Immersive Learning Systems (MILeS 2022) (Vol. 3247). CEUR. https://ceur-ws.org/Vol-3247/
  6. Klemke, R., Asyraaf Mat Sanusi, K., Majonica, D., Richert, A., Varney, V., Keller, T., Schneider, J., Di Mitri, D., Ciordas-Hertel, G., Cardenas-Hernandez, F., Romano, G., Kravcik, M., Paaßen, B., Klamma, R., Slupczynski, M., Klatt, S., Geisen, M., Baumgartner, T., & Riedl, N. (2021) Proceedings of the 1st In- ternational Workshop on Multimodal Multimodal Immersive Learning Systems (MILeS 2021). At the 16th European Conference on Technology Enhanced Learn- ing: Technology-Enhanced Learning for a Free, Safe, and Sustainable World. On- line, Bozen-Bolzano, Italy, September 20-24, 2021, CEUR-WS.org/Vol-2979, ISSN 1613-0073.
  7. Di Mitri, D., Martinez-Maldonado, R., Santos, O., Schneider, J., Asyraaf Mat Sanusi, K., Cukurova, M., Spikol, D., Molenaar, I., Michail, G., Klemke, R. & Azevedo, R. (2021) Proceedings of the 1st International Workshop on Multimodal Artificial Intelligence in Education (MAIEd’21). At the 22nd International Conference on Artificial Intelligence in Education (AIED 2021). Online, Utrecht, The Netherlands. CEUR-WS.org/Vol-2902, ISSN 1613-0073.
  8. Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X., Hammad, R. eds (2022) The Multimodal Learning Analytics Handbook. 1st ed. 2022 edition. S.l.: Springer, 2022.
  9. Di Mitri, D. (2020). The Multimodal Tutor: Adaptive Feedback from Multi-modal Experiences. PhD dissertation. Open Universiteit. OU Digital Library. ISBN: 978-94-93211-21-6

Book chapters

  1. Di Mitri, D., & Whittaker, C. (2024). Profiling. In the book published by the Johanna Quandt Academy on “Connectivity, Networks, Flows”. (in Publication)
  2. Ruipérez-Valiente, J. A., Martínez-Maldonado, R., Di Mitri, D., & Schneider, J. (2022). From Sensor Data to Educational Insights. Sensors, 22(21), 8556. doi: 10.3390/s22218556
  3. Di Mitri, D., Schneider, J., Drachsler, H. (2022). The Rise of Multimodal Tutors in Education. In: Handbook of Open, Distance and Digital Education. Springer, Singapore. 10.1007/978-981-19-0351-9_58-1.
  4. Di Mitri, D., Limbu, B., Schneider, J., Klemke, R. (2021) Multimodal Learning Analytics For Deliberate Practice. Accepted. To appear in The Multimodal Learning Analytics Handbook. Springer Nature.
  5. Schneider, J., Di Mitri, D., Limbu, B., Drachsler, H. (2020) Der multimodale Lern-Hub: Ein Werkzeug zur Erfassung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen. In Digitale Bildung und Künstliche Intelligenz in Deutschland (pp. 537-557). Springer, Wiesbaden.

Roles in conferences

  1. Programme co-chair and local EATEL Summer School of Technology-Enhanced co-chair.Learning (jTELSS’24) (2024) Gabicce, Italy Website: https://ea-tel.eu/jtelss24
  2. Doctoral Consortium Chair at the European Conference of Technology Enhanced Learn- ing 2023. Aveiro, Portugal. Website: https://ea-tel.eu/ectel2023/doctoralconsortium
  3. Programme Chair of the EATEL Summer School of Technology-Enhanced. Learning (jTELSS’23) (2023) La Manga, Spain Website: https://ea-tel.eu/jtelss23
  4. Doctoral Consortium chair at the European Conference of Technology Enhanced Learning 2022. Website: https://ea-tel.eu/ectel2022/doctoralconsortium
  5. Publicity Chair of the Learning Analytics & Knowledge Conference. (LAK’20). Cyberspace. Website: https://lak20.solaresearch.org/
  6. Local Chair of the EATEL Summer School of Technology-Enhanced. Learning (jTELSS’19) (2019) Bari, Italy Website: https://ea-tel.eu/jtelss/
  7. Organisation committee member of the EATEL Summer School of Technology-Enhanced. Learning (jTELSS’18), (2018) Durres, Albania
  8. Coordinator of the international conference “Education in Crisis”, OBESSU (2014) Rome, Italy
  9. Trainer at the Training for International Officers, OBESSU (2013) Brussels
  10. Trainer for the Bulgarian School Student Union, OBESSU, (2013) Sofia, Bulgaria
  11. Activity leader “YOUVET – Training for Young VET campaigners”, OBESSU (2013) Brussels, Belgium
  12. Coordinator of the 8th European School Student Convention “Education at 360°”, OBESSU, (2012), Bern, Switzerland

Organised workshops

  1. Hagood, D., Spikol, D., Nøhr, L., Echeverria, V., Martinez-Maldonado, R., Nieto, G., Srivastava, N., Arslan, A., Di Mitri, D., Giannakos, M., Curkurova, M., Emerson, A., Ochoa, X., & Wang, Y. (2024). Design-based research methodology: Going deeper than methods in multimodal learning analytics. At the 14th International Learning Analytics & Knowledge (LAK’24). Kyoto, Japan.
  2. Di Mitri D., Srivastava, N., Martinez-Maldonado, R., Cukurova, M. & Spikol, D (2023). CROSSMMLA workshop “Leveraging Multimodal Data for Generating Meaningful Feed- back”. At the 13th International Learning Analytics & Knowledge (LAK’23). Arlington, Texas, United States. March 14, 2023, CEUR-WS.org/Vol-3439, ISSN 1613-0073.
  3. Sanusi, K. A. M., Limbu, B., Schneider, J., Di Mitri, D. & Klemke, R. (Eds.). (2022). Multimodal Immersive Learning Systems 2022. In Proceedings of the Second Interna- tional Workshop on Multimodal Immersive Learning Systems (MILeS 2022) (Vol. 3247). CEUR. CEUR-WS.org/Vol-3247, ISSN 1613-0073.
  4. Klemke, R., Asyraaf Mat Sanusi, K., Majonica, D., Richert, A., Varney, V., Keller, T., Schneider, J., Di Mitri, D., Ciordas-Hertel, G., Cardenas-Hernandez, F., Romano, G., Kravcik, M., Paaßen, B., Klamma, R., Slupczynski, M., Klatt, S., Geisen, M., Baumgartner, T., & Riedl, N. (2021) Multimodal Multimodal Im- mersive Learning Systems (MILeS 2021). At the 16th European Conference on Technology Enhanced Learning: Technology-Enhanced Learning for a Free, Safe, and Sustainable World. Online, Bozen-Bolzano, Italy, September 20-24, 2021, CEUR-WS.org/Vol-2979, ISSN 1613-0073.
  5. Di Mitri, D., Martinez-Maldonado, R., Santos, O., Schneider, J., Asyraaf Mat Sanusi, K., Cukurova, M., Spikol, D., Molenaar, I., Michail, G., Klemke, R. & Azevedo, R. (2021) First International Workshop on Multimodal Artificial In- telligence in Education (MAIEd’21). At the 22nd International Conference on Artificial Intelligence in Education (AIED 2021). Online.
  6. Di Mitri, D., Berg, A., Kismihók, G., Ruipérez-Valiente, J., Kitto, K., Schneider, J., Ahmad A. and Mol, S. (2021) The 7th LAKathon: Is Learning in Isolation a Mission Impossible?. Pre-conference workshop at the Learning Analytics & Knowledge Conference (LAK’21). Online.
  7. Spikol, D., Ochoa, X., Worsley, M., Di Mitri, D., Cukurova, M., Martinez- Maldonado, R. and Schneider, J., (2021) CROSSMMLA Futures: Collecting and analysing multimodal data across the physical and the virtual. Pre-conference workshop at the Learning Analytics & Knowledge Conference (LAK’21). Online.
  8. Michail, G. Spikol, D., Molenaar, I., Di Mitri, D., Sharma, K., Ochoa, X., Hammad, R. (2020) CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces. Pre-conference workshop at the Learning Analytics & Knowledge Conference (LAK’20). Online.
  9. Di Mitri, D., & Schneider, J. (2019, 6th June) Multimodal Tutor. Thematic workshop at the 15th EATEL Summer School in Technology Enhanced Learning (JTEL), Bari, Italy.
  10. Di Mitri, D., Cooper, A., Kitto, K., Kismihók, G. Mol, S.T., Sclater, N., Schnei-der, J. & Berg, A. (2019) The Fifth LAK Hackathon: Trusted and Inclusive Learning Analytics Across Spaces with New Tools, Standards and Infrastructures. Pre-conference workshop at the Learning Analytics & Knowledge Conference (LAK’19). Tempe, Arizona, US.
  11. Spikol, D., Di Mitri, D., Echeverria, V., Martinez-Maldonado, R., Cukurova, M., Prieto, L.P, Rodríguez-Triana, M.J., Ochoa, X., Worsley, M. & Giannakos, M. (2019) 3rd CrossMMLA: Multimodal Learning Analytics Across Physical and Digital Spaces. Pre-conference workshop at the Learning Analytics & Knowledge Conference (LAK’19). Tempe, Arizona, US.
  12. Di Mitri, D., & Specht, M. (2019, 8 April) Multimodal Learning Analytics parallel workshop and demonstration. Learning Analytics in Higher Education Conference, Delft Technical University Delft, The Netherlands.
  13. Di Mitri, D., & Schneider, J. (2018, 15 May) Sensors for Learning, Thematic workshop at the 14th EATEL Summer School in Technology Enhanced Learning (JTEL), Dürres, Albania.
  14. Di Mitri, D., & Schneider, J. (2017, 12 October) Multimodal Machines, The- matic workshop at the 13th EATEL Summer School in Technology Enhanced Learning (JTEL), Aveiro, Portugal.

Teaching

  1.  Di Mitri, D. (2022) Seminar on Responsible Artificial Intelligence for Human Support (RAI4HS) as part of the computer science bachelor and a master at the Goethe-University Frankfurt am Main. ( Summer Semester 2021, Winter Semester 2021-22, Summer Semester 2022, Winter Semester 2022-23).
  2. Drachsler, H., Di Mitri, D. (2020/21) Seminar Educational Technologies as part of the computer science bachelor and master at the Goethe-University Frankfurt am Main.
  3. Drachsler, H., Di Mitri, D. (2020/21) Praktikum Educational Technologies as part of the computer science bachelor and master at the Goethe-University Frank- furt am Main.
  4. Di Mitri, Bromuri, S., Klemke, R. (2020) Human AI Virtual Masterclass. As part of the offer of the Courses of professional development of The Open University.

Talks

  1. Di Mitri, D., (20th February 2024) Intelligent tutors, learning analytics and multimodal technologies for feedback augmentation. Seminar talk at the Faculty of Education Sci- ence, Psychology and Communication. University “Aldo Moro” of Bari 2024.
  2. Di Mitri, D., (22nd January 2024) Intelligent tutors, learning analytics and multimodal technologies for feedback augmentation. Seminar talk at The Seminars on “Information Technology Outlook” PhD Program in Computer Science and Mathematics. University “Aldo Moro” of Bari 2024.
  3. Di Mitri, D., (21st February 2022) Artificial Intelligence and Multimodal Learning Experiences for Supporting Distance Learning. Guest Lecture at Human-Computer Interaction Institute of Carnegie Mellon University.
  4. Di Mitri, D., (1st February 2022) Restoring Context in Distance Learning with Artificial Intelligence and Multimodal Learning Experiences. Guest Lecture at Brown bag presentation series of the Education Communication and Technology faculty of the New York University. (video) (slides)
  5. Di Mitri, D., (18th November 2021) Artificial Intelligence in Education. Guest Lecture at the Human-AI Interaction course at Carnegie Mellon University.
  6. Di Mitri, D., (28th October 2021) Restoring Context in Online Teaching with Artificial Intelligence and Multimodal Learning Experiences. Keynote at SITE Interactive conference 2021. Online.
  7. Di Mitri, D., (1st October 2021) Multimodal Learning Experiences. Presentation at the NTNU LCI bi-weekly meeting. Norwegian Technical University. Online.
  8. Di Mitri, D., (10th September 2021) Breaking the Walls of Digital Learning. Pitch presentation at Falling Walls Lab. (video)
  9. Di Mitri, D., (3rd February 2021) Multimodal Learning Analytics and Automatic Feedback across Spaces. Guest Lecture University of Bochum, Germany.
  10. Di Mitri, D., (26th October 2020) Automatic Feedback for Learning Across Spaces. Guest Lecture MIT EdTech Studio, Boston, United States.
  11. Di Mitri, D., (4th April 2020) Multimodal Tutors: Enhancing learning using multimodal data and machine learning. Guest Lecture to the Adaptive Learning Lab of the Behavioural Science Institute, Radboud University Nijmegen, The Netherlands.
  12. Di Mitri, D., (24th November 2018) Multimodal Tutors: Enhancing learning using multimodal data and machine learning. OU Informatica StudieDag, Eind- hoven, The Netherlands.
  13. Di Mitri, D., (22nd January 2018) Multimodal Learning Analytics: an IoT approach for social signals. Guest lecture at Hogeschool Zuyd, Internet of Things Course Heerlen, The Netherlands.