Multimodal Effort Profiles and Children's Performance: Cognitive, Physiological and Physical Dimensions.
Background: Effort measurement is essential for adaptation to interactive learning technologies. Most contemporary technologies measure effort through the log data (reaction time and correctness). Some adaptive technologies use facial expressions and attention to adapt. Objectives: We present a nove...
| Publicado en: | Journal of Computer Assisted Learning Vol. 41; no. 3; pp. 1 - 28 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185452175&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185452175 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Jun2025 vid: 41 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 185452175 185452175 185452175 10.1111/jcal.70033 185452175 ppf: 1 ppct: 27 formats: tig: atl: Multimodal Effort Profiles and Children's Performance: Cognitive, Physiological and Physical Dimensions. aug: au: Sharma, Kshitij Lee‐Cultura, Serena Papavlasopoulou, Sofia Giannakos, Michail affil: Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway sug: subj: Educational Technology Learning Child Behavior Cognition Adaptation, Physiological User-Computer Interface Human Male Female Child One-Way Analysis of Variance Post Hoc Analysis Descriptive Statistics Data Analysis Software Comparative Studies Eye Movement Measurements Heart Rate Motion Capture Stress, Psychological Fatigue Learning Methods Student Performance Appraisal Child: 6-12 years Male Female ab: Background: Effort measurement is essential for adaptation to interactive learning technologies. Most contemporary technologies measure effort through the log data (reaction time and correctness). Some adaptive technologies use facial expressions and attention to adapt. Objectives: We present a novel, complementary, and multimodal definition of effort that can be used to adapt not only the content but also the interaction in learning technologies for children. Methods: We propose a 3D view of an effort measurement, that is, cognitive, physiological, and physical. We use eye‐tracking, heart rate monitoring, and motion tracking to define these three dimensions. We then apply this measurement within two motion‐based educational games and show how this 3D effort varies across the different phases of the educational games and children's performance. Results and Conclusions: The results show an interaction effect of the phase and performance on each of the three effort dimensions. We discuss how these results can inspire the design of multi‐sensory adaptive learning systems for children. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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