Jun192023 by Nina MouhammadNo Comments
Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

Summer School, Workshop
At the 17th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2023) in La Manga, Spain, Nina Mouhammad and Stefan Hummel conducted the workshop "We can't stop communicating - AI can help us to use this data for education." The workshop emphasized the importance of incorporating both verbal and nonverbal communication signals in technology-enhanced learning applications. Various examples highlighting successful implementations were discussed. The participants were divided into two groups to explore nonverbal and verbal communication, respectively. After engaging discussions, interactions and also prototype testing, the groups swapped to gain insights from both perspectives. To conclude the workshop on a creative note, participants formed small groups and designed either the worst presentation skills training app imaginable or a product box for a presentation skills training robot. This exercise sparked laughter while…
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Sep152022 by Fernando P. Cardenas-HernandezNo Comments
New Pub: Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices

New Pub: Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices

Workshop
On September 13, during the MILeS 2022 – Multimodal Immersive Learning Systems workshop that took place at EC-TEL 2022 conference in Toulouse, France, the paper entitled Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices was presented. This paper, which will appear in the CEUR Workshop Proceedings, was written by Fernando P. Cardenas-Hernandez, and Jan Schneider. Abstract. For the integral learning/training of a psychomotor activity such as running, it is necessary to target not only the physical aspects but also the technical and mental aspects that make it up, an alternative to solve this issue is through the understanding and consideration of feedback and periodization, which are elements that constitute and influence transcendentally and differently each of the three aspects involved. That is why,…
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Sep142022 by Gianluca RomanoNo Comments
New Pub: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill

New Pub: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill

Workshop
A new workshop paper was presented at the MILeS 2022 workshop written by Gianluca Romano entitled: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill. The MILeS 2022 – Multimodal Immersive Learning Systems workshop took place on the 13th of September at EC-TEL 2022 conference taking place in Toulouse, France. The paper will appear in the CEUR proceedings. Abstract. Learning psycho-motor skills requires feedback for improvement and give insight on performance. However, providing feedback is not trivial. Every learner is different and the same feedback might not work for everyone. The workshop aims to make participants aware of the problematic transition from analyzed wearable sensor data to meaningful feedback. Thus, the participants will get more familiar with wearable sensor data and directly experience how learners might want to receive feedback that they deem…
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Sep142022 by Daniele Di MitriNo Comments
New Pub: Actionable Components of a Model for Augmented Feedback

New Pub: Actionable Components of a Model for Augmented Feedback

Feedback, Higher Education, Multimodal Learning Analytics, Workshop
A new workshop paper was presented at the MILeS 2022 workshop written by Daniele Di Mitri, Sebastian Gombert, Onur Karademir entitled: Reflecting on the Actionable Components of a Model for Augmented Feedback. The MILeS 2022 – Multimodal Immersive Learning Systems workshop took place on the 13th of September at EC-TEL 2022 conference taking place in Toulouse, France. The paper will appear in the CEUR proceedings. Abstract. In this paper, we introduce the concept of "Augmented feedback'' as an enhanced version of traditional educational feedback enriched by digital data and artificial intelligence. To provide an operational definition of augmented feedback, we acknowledge previous research in the fields of technology-enhanced learning and learning analytics. We argue why augmented feedback constitutes a promising research direction for the future of learning. We define the…
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