Multimodal Effort Profiles and Children's Performance: Cognitive, Physiological and Physical Dimensions

ABSTRACT 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.

Authors

Institutions

Publication Details

Journal
Journal of Computer Assisted Learning
Published
2025-04-08
DOI
https://doi.org/10.1111/jcal.70033
Citations
1
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multimodal Effort Profiles and Children's Performance: Cognitive, Physiological and Physical Dimensions

Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos, Serena Lee‐Cultura
1 citations
Journal of Computer Assisted Learning
Child Development and Digital Technology
8.93
article

Multimodal Effort Profiles and Children's Performance: Cognitive, Physiological and Physical Dimensions

Kshitij Sharma, Sofia Papavlasopoulou, Michail N. Giannakos, Serena Lee‐Cultura
article en
1 citations

Abstract

ABSTRACT 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.

Journal of Computer Assisted LearningVol. 41(3)
Norwegian University of Science and Technology (NO), Equinor (United Kingdom) (GB)
Openalex Percentile: Top 5%
Child Development and Digital Technology
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.