Publications

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

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Academic publications

Daniele counts 40 publications, 453 citations and 10 H-index starting from 2014, (Google Scholar, October 2022).

Journal publications

  1. Gombert, S., Di Mitri, D., Karademir, O., Kubsch, M., Kolbe, H., Tautz, S., Grimm, A., Bohm, I., Neumann, K., Drachsler, H. (2022) Coding Energy Knowl- edge in Constructed Responses with Explainable NLP Models. Journal of Com- puter Assisted Learning, Accepted.
  2. 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
  3. 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
  4. 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
  5. 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.
  6. 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. 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 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Toulouse, France, September 12–16, 2022, Proceedings.
  2. Böttger, F., Cetinkaya, U., Di Mitri, D., Gombert, S., Shingjergji, K., Iren, D., Klemke, R. (2022) Privacy-Preserving and Scalable Affect Detection in On- line Synchronous Learning. 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 17th European Conference on Tech- nology Enhanced Learning, EC-TEL 2022, Toulouse, France, September 12–16, 2022, Proceedings.
  3. 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/.
  4. 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.
  5. 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/.
  6. 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.
  7. 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.
  8. 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.
  9. 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
  10. 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)
  11. 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)
  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. Re- searchGate (slides)
  13. 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)
  14. 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.
  15. 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
  16. 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
  17. 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)
  18. 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. Di Mitri, D., Gombert, S., Karademir O. (2022) Reflecting on the Actionable Components of a Model for Augmented Feedback. Proceedings of the 2nd In- ternational Workshop on Multimodal Immersive Learning Systems (MILeS 2022). At the 17th European Conference on Technology Enhanced Learn- ing. Toulouse, France. (accepted).
  2. 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).
  3. 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)
  4. 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).
  5. 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).
  6. 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.
  7. 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
  8. 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)
  9. 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. 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.
  2. 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.
  3. 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.
  4. 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., 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.
  2. 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.
  3. 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. Doctoral Consortium chair at the European Conference of Technology Enhanced Learning 2022. Website: https://ea-tel.eu/ectel2022/doctoralconsortium
  2. Publicity Chair of the Learning Analytics & Knowledge Conference. (LAK’20). Cyberspace. Website: https://lak20.solaresearch.org/
  3. Local Chair of the EATEL Summer School of Technology-Enhanced. Learning (jTELSS’19) (2019) Bari, Italy Website: https://ea-tel.eu/jtelss/
  4. Organisation committee member of the EATEL Summer School of Technology-Enhanced. Learning (jTELSS’18), (2018) Durres, Albania
  5. Coordinator of the international conference “Education in Crisis”, OBESSU (2014) Rome, Italy
  6. Trainer at the Training for International Officers, OBESSU (2013) Brussels
  7. Trainer for the Bulgarian School Student Union, OBESSU, (2013) Sofia, Bulgaria
  8. Activity leader “YOUVET – Training for Young VET campaigners”, OBESSU (2013) Brussels, Belgium
  9. Coordinator of the 8th European School Student Convention “Education at 360°”, OBESSU, (2012), Bern, Switzerland

Organised workshops

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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., (21st February 2022) Artificial Intelligence and Multimodal Learning Experiences for Supporting Distance Learning. Guest Lecture at Human-Computer Interaction Institute of Carnegie Mellon University.
  2. 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)
  3. Di Mitri, D., (18th November 2021) Artificial Intelligence in Education. Guest Lecture at the Human-AI Interaction course at Carnegie Mellon University.
  4. 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.
  5. Di Mitri, D., (1st October 2021) Multimodal Learning Experiences. Presentation at the NTNU LCI bi-weekly meeting. Norwegian Technical University. Online.
  6. Di Mitri, D., (10th September 2021) Breaking the Walls of Digital Learning. Pitch presentation at Falling Walls Lab. (video)
  7. Di Mitri, D., (3rd February 2021) Multimodal Learning Analytics and Automatic Feedback across Spaces. Guest Lecture University of Bochum, Germany.
  8. Di Mitri, D., (26th October 2020) Automatic Feedback for Learning Across Spaces. Guest Lecture MIT EdTech Studio, Boston, United States.
  9. 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.
  10. Di Mitri, D., (24th November 2018) Multimodal Tutors: Enhancing learning using multimodal data and machine learning. OU Informatica StudieDag, Eind- hoven, The Netherlands.
  11. 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.

Thesis supervision

Doctoral candidates

  1. M.Sc. Onur Karademir (2021–) PhD candidate in Learning Analytics at the DIPF – Goethe University.
  2. M.A. Sebastian Gombert (2021–) PhD candidate in Natural Language Processing at the DIPF – Goethe University.
  3. M.Sc. Gianluca Romano (2021–) PhD candidate in Machine Learning in Education at the DIPF – Goethe University.
  4. M.S.c. Stefan Hummel (2022–) PhD candidate in Learning Analytics at the DIPF – Goethe University.
  5. M.S.c. Nina Kolmar Mouhammad (2022–) PhD candidate in Learning Analytics at the DIPF – Goethe University.
  6. M.A. Rashmi Khazanchi (2021–) External PhD candidate at the Open University of The Netherlands.

Bachelors/Masters students

  1. Marvi Karroçi (2022) Bachelor Thesis: “Developing a Learning Dashboard based on Process Data Indicators”. Goethe University of Frankfurt.
  2. Andela Karla Barisic (2022) Bachelor Thesis: “Daylio on Smartwatch – Proposal for the Smartwatch App”. Goethe University of Frankfurt.
  3. Alexandr Epp (2021) Master Thesis: “Dynamic Time-Series Visualization”. Goethe University of Frankfurt.
  4. Andrè Burg (2021) Bachelor Thesis: “Affective Computer Interfaces with EEG”. Goethe University of Frankfurt.
  5. Ufuk Cetinkaya (2021) Bachelor Thesis: “Improving virtual learning sessions through emotion recognition models”. Goethe University of Frankfurt.
  6. Felix Böttger (2021) Bachelor Thesis: “Development of an Infrastructure for Machine Learning Supported Live Learning Analytics in Distanced Learning Scenarios”. Goethe University of Frankfurt.
  7. Smita Bhattacharya (2021) Master Internship: “Deep Neural Networks for Open Question Answering”. Saarland University.
  8. Jona Lukas Heinrichs (2021) Bachelor Thesis: “A Knowledge Tracing approach to online class interaction data”. Goethe University of Frankfurt.
  9. Tetiana Buraha (2021) Bachelor Thesis: “Physiological signals collection with Em- patina playing Lumosity games”. Goethe University of Frankfurt.
  10. Florian Debrauwer (2020) Master Internship. Department of Data Science and Artificial Intelligence. Maastricht University.
  11. Kevin Trebing (2020) Master Internship. Department of Data Science and Artifi- cial Intelligence. Maastricht University.
  12. Khaleel Asyraaf (2020) Master Thesis: “Stroke in Pong like Ma Long: Mistake Detection for Automatic Feedback Generation in Table Tennis Stroke Performance based on Multi-modal Data and Neural Networks”. Saarland University.

Attended conferences

  1. 17th European Conference on Technology Enhanced Learning (EC-TEL’22) Edu- cating for a new future: Making sense of technology-enhanced learning adoption. Toulouse, France, 12-16 September 2022
  2. SITE Interactive 2021, Online Conference, 26–28 October 2021, Role: keynote speaker
  3. 16th European Conference on Technology Enhanced Learning Technology-Enhanced Learning (EC-TEL’21) for a Free, Safe, and Sustainable World, Online, 20–24 September 2021
  4. International Conference of Artificial Intelligence in Education (AIED’21), 14–18th June 2021, online conference
  5. Learning Analytics & Knowledge Conference (LAK’21) 12–16 April 2021, online conference
  6. EAI S-CUBE 2020 11th EAI International Conference on Sensor Systems and Software 12 December 2020, Role: paper presenter
  7. International Conference of Artificial Intelligence in Education (AIED’20), 6–9th July 2020, online conference
  8. Learning Analytics & Knowledge Conference (LAK’20) 23–27 March 2020, online conference
  9. Internation Conference of Artificial Intelligence in Education (AIED’20), 6–9th July 2020, online conference
  10. Learning Analytics & Knowledge Conference (LAK’20) 23–27 March 2020, online conference
  11. European Conference in Technology-Enhanced Learning (EC-TEL’19) 16–19 Septem- ber 2019, Delft, The Netherlands
  12. International Joint Conference in Artificial Intelligence (IJCAI’19) 5–13 August 2019, Macau, China
  13. Artificial Intelligence in Medicine 26–30 June 2019, Poznan, Poland
  14. EATEL Summer School of Technology-Enhanced Learning (jTELSS’19) 1–8th June 2019, Bari, Italy
  15. Artificial Intelligence and Adaptive Education Conference (AIAED’19),23–25th May 2019, Beijing, China
  16. WEKIT Project, H2020 Final Evaluation Meeting, 10th April 2019, Turin, Italy
  17. Learning Analytics Event TU Delft, 8th April 2019, Delft, The Netherlands
  18. Learning Analytics & Knowledge Conference (LAK’19), 3–8th March 2019, Tempe, Arizona
  19. yOUr day Conference, 17th January 2019, Heerlen, The Netherlands
  20. Learning & Student Analytics Conference (LSAC’18), 22–25th October 2018, Am- sterdam, The Netherlands
  21. Internation Conference of Artificial Intelligence in Education (AIED’18), 27–30th June 2018, London, United Kingdom
  22. EATEL Summer School of Technology-Enhanced Learning (jTELSS’18), 13–18th May 2018, Durrës, Albania
  23. Learning Analytics & Knowledge Conference (LAK’18), 3rd–8th March 2018, Syd- ney, Australia
  24. Expert meeting eTwinning - JRC, EC, 29–30th November 2017 Seville, Spain
  25. Learning & Student Analytics Conference (LSAC’17), 26th October 2017, Ams- terdam, The Netherlands
  26. European Conference in Technology-Enhanced Learning (EC-TEL’17) 12–15th September 2017, Delft, The Netherlands
  27. WEKIT Integration meeting, 6–7th September 2017, Oxford, United Kingdom
  28. SURF Special interested group in Learning Analytics, 31st August 2017, Utrecht,The Netherlands</li
  29. Internation Conference of Artificial Intelligence in Education (AIED’17), 30th–3rd July 2017, Wuhan, China
  30. Education in the Digital World, 31–2nd June 2017, Tallinn, Estonia
  31. WEKIT Third Trial, 08–12th May 2017, Genoa, Italy
  32. Learning Analytics & Knowledge Conference (LAK’17), 12–18th March 2017, Van- couver, Canada
  33. WEKIT PlugFest, 6–7th February 2017, Heerlen, The Netherlands
  34. Augmented Reality Winter School, 23–27th January 2017, Oxford, United King- dom
  35. SIKS / CBS Data Camp & Advanced Course on Managing Big Data Enschede, 6–7th December 2016, The Netherlands
  36. Onderwijs Dag, Dutch Ministry of Education, 8th November 2016, Rotterdam, Netherlands
  37. Technical Working Group, Digital Skills and Competences European Commission, 13th October 2016, Brussels, Belgium
  38. Telecentre Europe Annual Conference 2016, 6–8th October 2016, Gent, Belgium
  39. EC-TEL2016 Conference Lyon, September 2016, France WEKIT general meeting
  40. EATEL Summer School of Technology-Enhanced Learning (jTELSS’16), June 2016, Tallin, Estonia
  41. Learning Analytics & Knowledge Conference (LAK’16), April 2016, Edinburgh, United Kingdom

Committee

Membership of Academic Societies

    1. Fellow of the Johanna Quandt Young Academy of Goethe University https:// www.jqya.de/
    2. Member of The Society for Learning Analytics Research (SoLAR) https://www. solaresearch.org
    3. Chair of the SoLAR Special Interest Group on Multimodal Learning Analyt- ics Across Spaces (CrossMMLA) https://www.solaresearch.org/community/sigs/ crossmmla-sig/
    4. Chair of the EATEL Special Interest Group on Artificial Intelligence for & in Education (AI4Ed) https://ea-tel.eu/sig/ai4ed
    5. Member of the International Artificial Intelligence in Education Society (IAIED) https://iaied.org/
    6. Member of the European Association of Technology Enhanced Learning (EA-TEL) https://ea-tel.eu/

Conference programme committee

  1. Learning Analytics & Knowledge conference (LAK) Editions: 2017, 2018, 2019*, 2020∗, 2021∗
  2. Technology Enhanced Learning conference (EC–TEL) Editions: 2017∗, 2018∗, 2019∗, 2020∗, 2021∗
  3. Computer–Human Interaction conference (CHI’19) Editions: 2019, 2020
  4. Artificial Intelligence in Education (AIED’19) Editions: 2019∗, 2020∗, 2021∗
  5. The 21th IEEE International Conference on Advanced Learning Technologies (ICALT’21) 2021∗

Workshop programme committee

  1. 3rd International Workshop on Higher Education Learning Methodologies and Technologies Online (HELMeTO 2021).
  2. First International Workshop on Enabling Data-Driven Decisions from Learning on the Web (L2D 2021)
  3. Learning Analytics Across Physical and Digital Spaces (CrossMMLA): 2017, 2018, 2019, 2020, 2021.
  4. Learning Analytics Hackathon (LAKathon): 2018, 2019, 2020, 2021, 2022.

Editorial roles

  1. Member of the Editorial Board of Frontiers in Artificial Intelligence – Special section on Artificial Intelligence for Human Learning and Behavior Change led by Prof. Julita Vassileva.
  2. Guest-editor in the Special Issue From Sensor Data to Educational Insights (MDPI Sensors – Impact Factor: 3.275)

Journal reviews

    • N. 6 Journal of Computer Assisted Learning. IF: 3.900
    • N. 4 Journal of Learning Analytics
    • N. 4 IEEE Transaction on Learning Technologies IF: 2.714
    • N. 2 International Journal of Artificial Intelligence in Education IF: 3.70
    • N. 2 British Journal of Education Technologies IF: 3.590
    • N. 1 International Journal of Child-Computer Interaction. IF: 1.690
    • N. 1 IEEE Transactions on Cognitive and Developmental Systems IF: 2.980
    • N. 1 PLOS ONE IF: 2.870
    • N. 1 Educational Technology Research and Development IF: 5.580

*Reviewed as a full member of the Program Committee, alternatively as sub-reviewer.

Awards

  1. LAK22 conference (16th September 2022) Best Demo Award at LAK’22 with “Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection”
  2. Open Unviersity of The Netherlands (12th June 2021) Nominated for the Anja Oskamp award for the best PhD Thesis 2018-2020 at the Open University of The Netherlands.
  3. German Informatics Society (27th April 2021) Elected as “AI Newcomer” at the KI Camp 2021, an event organised by German Informatics Society.
  4. Best Paper Award at the 11th EAI International Conference Sensor System and Software (S-Cube). Paper: Di Mitri, D., Asyraaf, K., Trebing, K, Bromuri, S. (2020) MOBIUS: Smart Mobility Tracking with Smartphone Sensors.
  5. Best Paper Award at AIMA4EDU workshop at IJCAI’19. Paper: Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2019) Multimodal Pipeline: A generic approach for handling multimodal data for supporting learning.
  6. Best Demonstration Award at LAK’19. Paper: Schneider, J., Di Mitri, D., Drachsler, H. (2019) with the ”Multimodal Tutor Builder Kit”.
  7. Martin Wolpers Award to the youngest promising researcher of 2018 at the 14th EATEL Summer School on Technology-Enhanced Learning funded by Research Institute for Innovation & Technology in Education (UNIR iTED) at Universidad Internacional de La Rioja. https://youtu.be/cJOqcUsS8Oo

Acquired fundings

  1. Authored as Principal Investigator “Model for Hybrid Teaching (HyTea)” a project funded in the programme “Young Ideas: Research Projects of AI Junior Research Groups.” by the Federal Ministry of Education in Germany (BMBF) Amount: 750,000 €. Duration: September 2022 until 2024.
  2. Co-authored in 2020 a research project proposal to Distr@l - Support Programme Strengthening Digitisation - “Living Transfer, Highly Informative and Competency- Oriented Feedback for Digital Learning” (HIKOF-DL). Amount: 700,000 €. Du- ration: May 2021 until 2024.
  3. Co-authored in 2020 research project proposal to the Federal Ministry of Edu- cation in Germany (BMBF) “Multimodal Immersive Learning with Artificial In- telligence for Psychomotor Skills” - MILKI-PSY”. Head of network: Prof. Dr. Roland Klemke. Amount: 2,281,112 €. Duration: 01.03.2021 - 29.02.2024 https://milki-psy.de/
  1. Nexus Techruption project (2020) for EUR 50,000, collaboration between Open University, Maastricht University, Brightlands and Politie Nederland.
  2. Awarded research fundings (2018) for USD 50,000 “Artificial Intelligence Tutor” programme from the Advanced Innovation Center for Future Education Beijing Normal University. This research collaboration was not pursued.

Scholarships & Fellowships

  1. Selected for the “Leadership Development 2022” training course of the Leibniz Association, course worth EUR 6,400.
  2. Scholarship of EUR 4,000 from the DIPF Institute for a two month research stay in Pennsylvania, United States (2022).
  3. Johanna Quandt Young Academy of the Goethe University (2022) EUR 10,000, “Academy Fellowship”.
  4. Scholarship of USD 1,500 from SquirrelAI for attending the AIMA4Edu work- shop at the International Joint Conference in Artificial Intelligence IJCAI, Macau, China (2019).
  5. Scholarship of USD 1,500 from SquirrelAI for attending the AIAED-19 (AI + Adaptive Education) conference, Beijing, China (2019).
  6. Scholarship of EUR 2,000 from the Welten Institute for short research stay at the University Technology Sydney (2018).
  7. Travel Scholarship “Erik Duval” of value USD 1,500 for attending the Doctoral Consortium at Learning Analytics & Knowledge conference (2017).

Press interviews

  1. S-Citizenship (February 2022) “Con l’intelligenza artificiale Daniele Di Mitri dis- egna la scuola del futuro”. Interview for technology magazine in Italian.
  2. IndustrieQuattroPuntoZero (May 2021) “L’IA al servizio della didattica a dis- tanza: intervista a Daniele Di Mitri”. Interview for technology magazine in Italian.
  3. Hessischer Rundfunk (May 2021) “Künstliche Intelligenz - die Nachwuchstalente kommen aus Hessen”. Radio interview in German for HR info.
  4. L’Opinionista (March 2021) “#insalotto con il talento dell’intelligenza artificiale Daniele Di Mitri”. Video interview in Italian.
  5. WDR Cosmo, Radio Colonia (March 2021) “Lezioni virtuali di eccellenza – In- tervista con Daniele Di Mitri”. Radio Colonia on WDR Cosmo, German radio.
  6. L’Opinionista (February 2021) “Daniele Di Mitri, talento emergente dell’intelli- genza artificiale”. Newspaper article in Italian online news website L’Opinionista.