Daniele Di Mitri
Daniele Di Mitri
Group Research Leader at DIPF.de, University of Frankfurt
Verified email at dipf.de - Homepage
Title
Cited by
Cited by
Year
From signals to knowledge. A conceptual model for multimodal learning analytics.
D Di Mitri, J Schneider, M Specht, H Drachsler
Journal of Computer Assisted Learning 34 (4), 338–349, 2018
742018
Learning pulse: A machine learning approach for predicting performance in self-regulated learning using multimodal data
D Di Mitri, M Scheffel, H Drachsler, D Börner, S Ternier, M Specht
Proceedings of the seventh international learning analytics & knowledge …, 2017
562017
Read between the lines: An annotation tool for multimodal data for learning
D Di Mitri, J Schneider, R Klemke, M Specht, H Drachsler
Proceedings of the 9th international conference on learning analytics …, 2019
332019
Multimodal learning hub: A tool for capturing customizable multimodal learning experiences
J Schneider, D Di Mitri, B Limbu, H Drachsler
European Conference on Technology Enhanced Learning, 45-58, 2018
282018
Learning pulse: using wearable biosensors and learning analytics to investigate and predict learning success in self-regulated learning
D Di Mitri, M Scheffel, H Drachsler, D Börner, S Ternier, M Specht
CEUR, 2017
212017
Affordances for capturing and re-enacting expert performance with wearables
W Guest, F Wild, A Vovk, M Fominykh, B Limbu, R Klemke, P Sharma, ...
European Conference on Technology Enhanced Learning, 403-409, 2017
172017
The Big Five: Addressing Recurrent Multimodal Learning Data Challenges
D Di Mitri, J Schneider, M Specht, H Drachsler
CEUR 2163, 2018
132018
Detecting mistakes in CPR training with multimodal data and neural networks
D Di Mitri, J Schneider, M Specht, H Drachsler
Sensors 19 (14), 3099, 2019
102019
Multimodal tutor for CPR
D Di Mitri
International Conference on Artificial Intelligence in Education, 513-516, 2018
102018
Real-time multimodal feedback with the CPR tutor
D Di Mitri, J Schneider, K Trebing, S Sopka, M Specht, H Drachsler
International Conference on Artificial Intelligence in Education, 141-152, 2020
42020
Multimodal Pipeline: A generic approach for handling multimodal data for supporting learning
D Di Mitri, J Schneider, MM Specht, HJ Drachsler
First workshop on AI-based Multimodal Analytics for Understanding Human …, 2019
42019
CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces
M Giannakos, D Spikol, I Molenaar, D Di Mitri, K Sharma, X Ochoa, ...
CEUR Workshop Proceedings 2610, 2020
22020
Architecture and design patterns for distributed, scalable augmented reality and wearable technology systems
W Guest, F Wild, D Di Mitri, R Klemke, J Karjalainen, K Helin
2019 IEEE International Conference on Engineering, Technology and Education …, 2019
22019
Der multimodale Lern-Hub: Ein Werkzeug zur Erfassung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen
J Schneider, D Di Mitri, B Limbu, H Drachsler
Digitale Bildung und Künstliche Intelligenz in Deutschland, 537-557, 2020
12020
Detecting medical simulation errors with machine learning and multimodal data
D Di Mitri
17th conference on artificial intelligence in medicine, 2019
12019
Proceedings of the First International Workshop on Multimodal Artificial Intelligence in Education
D Di Mitri, R Martinez-Maldonado, OC Santos, J Schneider, ...
Multimodal Artificial Intelligence in Education (MAIED 2021) 2902 (1613-0073 …, 2021
2021
Are We There Yet?-A Systematic Literature Review on Chatbots in Education
S Wollny, J Schneider, D Di Mitri, J Weidlich, M Rittberger, H Drachsler
Frontiers in Artificial Intelligence 4, 2021
2021
CROSSMMLA Futures: Collecting and analysing multimodal data across the physical and the virtual
D Spikol, X Ochoa, M Worsely, D Di Mitri, M Cukurova, ...
2021
MOBIUS: Smart Mobility Tracking with Smartphone Sensors
D Di Mitri, KAM Sanusi, K Trebing, S Bromuri
International Summit Smart City 360°, 462-475, 2020
2020
The Multimodal Tutor: Adaptive Feedback from Multimodal Experiences
D Di Mitri
2020
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