Multisensory Perception and Learning: Linking Pedagogy, Psychophysics, and Human–Computer Interaction

Author:

Gori Monica1,Price Sara2ORCID,Newell Fiona N.3ORCID,Berthouze Nadia4,Volpe Gualtiero5ORCID

Affiliation:

1. U-VIP — Unit for Visually Impaired People, Fondazione Istituto Italiano di Tecnologia, Italy

2. Institute of Education, University College London, London, UK

3. Department of Psychology and Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland

4. Interaction Centre, Div of Psychology & Lang Sciences, University College London, London, UK

5. Casa Paganini — InfoMus, DIBRIS, University of Genoa, Genoa, Italy

Abstract

Abstract In this review, we discuss how specific sensory channels can mediate the learning of properties of the environment. In recent years, schools have increasingly been using multisensory technology for teaching. However, it still needs to be sufficiently grounded in neuroscientific and pedagogical evidence. Researchers have recently renewed understanding around the role of communication between sensory modalities during development. In the current review, we outline four principles that will aid technological development based on theoretical models of multisensory development and embodiment to foster in-depth, perceptual, and conceptual learning of mathematics. We also discuss how a multidisciplinary approach offers a unique contribution to development of new practical solutions for learning in school. Scientists, engineers, and pedagogical experts offer their interdisciplinary points of view on this topic. At the end of the review, we present our results, showing that one can use multiple sensory inputs and sensorimotor associations in multisensory technology to improve the discrimination of angles, but also possibly for educational purposes. Finally, we present an application, the ‘RobotAngle’ developed for primary (i.e., elementary) school children, which uses sounds and body movements to learn about angles.

Publisher

Brill

Subject

Cognitive Neuroscience,Computer Vision and Pattern Recognition,Sensory Systems,Ophthalmology,Experimental and Cognitive Psychology

Reference127 articles.

1. Toward an embodied-interaction design framework for mathematical concepts;Abrahamson, D.

2. Constructing knowledge and transforming the world;Ackermann, E. K.

3. DeFT: a conceptual framework for considering learning with multiple representations;Ainsworth, S.

4. The ventriloquist effect results from near-optimal bimodal integration;Alais, D.

5. Teachers’ gestures as a means of scaffolding students’ understanding: evidence from an early algebra lesson;Alibali, M. W.

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