Human cognition and learning are embodied in socio-cultural contexts and psychomotor activities and are mediated by “tools” on enactive, iconic and symbolic representational levels. Learning technology has been predominantly oriented to manipulatives or tangible objects on an enactive level and with the introduction of computers in education with visual representations. We examine the educational technology and computer-assisted learning that include perceptual-motor activities with a particular focus on whole body motion and learning. We want to explore how the motion capture technology supports the inclusion of sensual knowledge and body motion in the cognitive processes of learning. We focus on the motion capture technology to offer a more natural type of human-computer interaction and immersion into the digital world.
CITATION STYLE
Istenic Starcic, A., Lipsmeyer, W. M., & Lin, L. (2018). Motion capture technology supporting cognitive, psychomotor, and affective-social learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11003 LNCS, pp. 293–297). Springer Verlag. https://doi.org/10.1007/978-3-319-99737-7_31
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