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Exploring students' cognitive and affective states during problem solving through multimodal data

Lessons learned from a programming activity

Datos Bibliográficos

ID21499232
AutoresKaterina Mangaroska (0000-0002-7853-0429, Department of Computer Science, Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Trondheim Norway, autor de correspondencia), Kshitij Sharma (0000-0003-3364-637X, Department of Computer Science, Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Trondheim Norway), Dragan Gašević (0000-0001-9265-1908, Faculty of Information Technologies Monash University Melbourne Australia), Michail N Giannakos (0000-0002-8016-6208, Department of Computer Science, Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Trondheim Norway)
Año2022
Volumen38
Número1
Páginas40-59
Fecha de publicación2022-02-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Computer Assisted Learning (JOURNAL)
Identificadores de la revistaISSN: 0266-4909 • E-ISSN: 1365-2729
EditorialWiley (PUBLISHER • GB)
DOI10.1111/jcal.12590
OpenAlexW3196912284
IdiomaEN
Citas recibidas21
Referencias citadas106

Boredom · Cognition · Cognitive Load · Cognitive psychology · Cognitive science · Debugging · Mathematics education · Metacognition · Programming language · Computer Science · Innovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Psychology · Social Psychology

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  • Engagement, disengagement and performance when learning with technologies in upper secondary school

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  • Collocated Collaboration Analytics

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Obras citantes distintas21
Citas por año7
Intervalo de citas2023 - 2026 (4)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 21
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae