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Jacqueline Anton

dblp:401/0931 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-0667-6004ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
embodied learning
0.912025
Exploring children's embodied interactions through digitally facilitated enactment: A case study when math education MOVES · Int. J. Hum. Comput. Stud. 2025
Learning and educational technologies › learning analytics
multimodal learning analytics
0.312025
Exploring children's embodied interactions through digitally facilitated enactment: A case study when math education MOVES · Int. J. Hum. Comput. Stud. 2025

Methods — techniques the papers use, named apart from their topics

physiological sensing · 0.9motion capture · 0.9mixed-methods analysis · 0.9
YearPublicationVenuePosition
2025 The Human Condition: Modal and Interactive Advantages of Teacher over AI Feedback on Children's Mathematical Performance
Jacqueline Anton, Giulia Cosentino, Kshitij Sharma, Mirko Gelsomini, Micah Mok, Michail N. Giannakos, Dor Abrahamson
IDC1
2025 Exploring children's embodied interactions through digitally facilitated enactment: A case study when math education MOVES
abstract
Technology-enhanced embodied learning has gained traction in HCI, yet deeper insights into how children’s physical actions interplay with their cognitive and emotional states remain underexplored. This study investigates MOVES-NL, an embodied digital learning environment, as a medium for advancing understanding of the dynamic relationship between movement, engagement, and cognitive processes such as stress and learning. MOVES-NL combines movement and immediate formative feedback to foster arithmetic understanding of integers, offering a novel perspective on the integration between embodied interactions and conceptual development. Moving beyond traditional evaluations of learning impact or media comparisons, this work employs multimodal learning analytics (MMLA) integrating motion capture with physiological data to explore the nuanced dynamics of embodied learning. Through a mixed-methods approach integrating both qualitative and quantitative analyses, this study reveals how students’ physical movements relate to cognitive and emotional states, offering actionable insights to support engagement and learning processes. This research advances the understanding of how children’s physical movements relate to their cognitive processes and highlights key considerations for integrating embodied technologies into curricula to foster student engagement and deepen their conceptual understanding, adding value to ongoing conversations about the role of digital technology in children’s education and development.
Giulia Cosentino, Jacqueline Anton, Kshitij Sharma, Mirko Gelsomini, Michail N. Giannakos, Dor Abrahamson
Int. J. Hum. Comput. Stud.2