Exploring Cognitive Engagement in AI-Driven Adaptive Psychomotor Sport Training
DOI:
https://doi.org/10.58459/icce.2024.4903Abstract
This paper explores the dynamics of learning interactions between practitioners (those learning skills for real-world activities, sports trainee), and facilitators (those guiding the learning process, sports coach), with a focus on cognitive engagement in adaptive psychomotor learning contexts. Furthermore, this paper examines how to establish an appropriate environment for replicating tangible activities, such as creating optimal conditions for learning how to move in sport scenarios. In particular, we explore how to personalize psychomotor learning approaches through Learning Management Systems (LMS) where the personalization of the learning of motor skills is driven by the Sensing, Modeling, Design and Delivery (SMDD) process model that is based on Artificial Intelligence (A1) support, and the optimization of the learning workflow is managed by the Learning Analytics' enhanced Reflective Task (LA-ReflecT) platform integrated in Moodle LMS.