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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Gianluca Romano joins the team

Gianluca Romano joins the team

Higher Education, Multimodal Learning Analytics, Team
Starting July 2021, Gianluca Romano joins the team as a doctoral researcher. He holds a Master's as well as a Bachelor's degree in Computer Science from the Goethe University Frankfurt. He finished his study with a thesis on an Intelligent Tutoring System for dancing which was also published in an online journal. Further, he has experience as an AI Engineer and currently is also employed as a Machine Learning Engineer.
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