1156895
doi
10.1145/3139513.3139522
oai:zenodo.org:1156895
user-h2020_wedraw
user-eu
Cuturi, Luigi
IIT Genoa, Italy
Cappagli, Giulia
IIT Genoa, Italy
Volta, Erica
University of Genoa, Italy
Alborno, Paolo
University of Genoa, Italy
Newbold, Joseph
University College London, UK
Bianchi-Berthouze, Nadia
University College London, UK
Baud-Bovy, Gabriel
IIT Genoa, Italy
Volpe, Gualtiero
University of Genoa, Italy
Gori, Monica
IIT Genoa, Italy
What cognitive and affective states should technology monitor to support learning?
Olugbade, Temitayo
University College London, UK
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
learning
cognition
affect
self-efficacy
curiosity
reflectivity
<p>This paper discusses self-efficacy, curiosity, and reflectivity as cognitive and affective states that are critical to learning but are overlooked in the context of affect-aware technology for learning. This discussion sits within the opportunities offered by the weDRAW project aiming at an embodied approach to the design of technology to support exploration and learning of mathematical concepts. We first review existing literature to clarify how the three states facilitate learning and how, if not supported, they may instead hinder learning. We then review the literature to understand how bodily expressions communicate these states and how technology could be used to monitor them. We conclude by presenting initial movement cues currently explored in the context of weDRAW.</p>
Zenodo
2017-11-13
info:eu-repo/semantics/other
1156894
user-h2020_wedraw
user-eu
award_title=Exploiting the best sensory modality for learning arithmetic and geometrical concepts based on multisensory interactive Information and Communication Technologies and serious games; award_number=732391; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/732391; funder_id=00k4n6c32; funder_name=European Commission;
1579541550.080529
760753
md5:546ba7b1b6f70cd1b9f337a379187547
https://zenodo.org/records/1156895/files/ICMI Workshop 2017 Camera Ready format corrections made - repository version.pdf
public