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MILeS@EC-TEL 2023: Aveiro, Portugal
- Khaleel Asyraaf Mat Sanusi, Bibeg Limbu, Jan Schneider, Milos Kravcík, Roland Klemke:

Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023) At the Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), Aveiro, Portugal, September 4th-8th, 2023. CEUR Workshop Proceedings 3499, CEUR-WS.org 2023 - Mai Geisen, Nina Riedl, Stefanie Klatt:

Real-time visual feedback on motor performance in a dance class: Presentation of a field study concept. 5-9 - Fernando Pedro Cardenas Hernandez, Jan Schneider:

How Mental Factors Affect Psychomotor Skill Learning and Training and How to Measure Them: Running Case. 10-18 - Gianluca Romano, Jan Schneider:

Leveraging Feedback Through Personalized Recommendations within Intelligent Tutoring Systems for Psychomotor Skill Development. 19-27 - Qi Zhou, Mutlu Cukurova:

Zoom lens: An MMLA framework for evaluating collaborative learning at both individual and group levels. 28-35 - Michal Slupczynski, Khaleel Asyraaf Mat Sanusi, Daniel Majonica, Roland Klemke, Stefan Decker:

Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. 36-43 - Sebastian Gombert, Lukas Menzel, Onur Karademir, Daniele Di Mitri, Hendrik Drachsler:

Making an Online Whiteboard Ready for Multimodal Interaction: Integrating Text- and Voice Chat into Hyperchalk. 44-48 - Wicaksono Febriantoro, Mutlu Cukurova:

Integrating Physiological Indicators with a Competency Model for Enhanced Collaborative Problem Solving in Small Groups. 49-55 - Jan Schneider, Khaleel Asyraaf Mat Sanusi, Bibeg Limbu, Nghia Duong-Trung:

Novices make more noise! But how can we listen to it?. 56-63 - Hitesh Kotte, Milos Kravcík, Nghia Duong-Trung:

Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback. 64-70 - Khaleel Asyraaf Mat Sanusi, Daniel Majonica, Patrick Handwerk, Suhana Biswas, Roland Klemke:

Evaluating an immersive learning toolkit for training psychomotor skills in the fields of human-robot interaction and dance. 70-78

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