DIKUL - logo
(UL)
  • Using motion capture technologies to provide advanced feedback and scaffolds for learning
    Istenič, Andreja, profesor didaktike ; Lipsmeyer, William Mark ; Lin, Lin, informatika
    In this chapter, we take the stand that cognition and learning are embodied in psychomotor activities and socio-cultural contexts, and they are mediated by technologies on the enactive, iconic, and ... symbolic representational levels. We discuss motion or body movements as an integral part of cognition and learning. The particular focus is on the role of motion capture technologies in integrating body, sensorimotor engagement, and feedback in learning. Motion capture technologies may help assist learning in several ways: (1) fascilitating seamless human%computer interaction; (2) connecting the enactive learning to observation and to model-based learning; (3) linking body motion to psychological reactions and states. Traditionally, computer-based learning has supported visual and symbolic representations. Advanced motion capture technologies connect physical and virtual environments, support enactive representations, connect different types of representations, and provide smart and sophisticated feedback to improve learning.
    Vir: Mind, brain and technology : learning in the age of emerging technologies (str. 107-121)
    Vrsta gradiva - članek, sestavni del
    Leto - 2019
    Jezik - angleški
    COBISS.SI-ID - 8680033
    DOI

Vnos na polico