Using Scientific Annotation Tools to Support Collaborative Embodied Learning in Elementary School Classrooms

Abstract Past research has demonstrated the utility of technologically mediated embodiment for young students’ science learning; however, many technologies designed to support embodied learning engage only small groups. To support whole-class embodied activities, we present findings demonstrating the value of peer observation and annotation of embodied activities for supporting teacher orchestration of embodied learning and helping students link embodied models to scientific ideas. This study investigates three annotation tools—event buttons, drawing, and graph-generating sliders—in the context of the Science through Technology Enhanced Play (STEP) mixed-reality environment, where students use full-body motion around the classroom to embody water particles in different states of matter. Student observers use a tablet application to annotate the embodied model as it is produced, an activity intended to help them translate their peers’ motion into other representational forms that can support collaborative sensemaking. Interaction analysis of classroom discussions reveals how annotation tools support teachers in guiding students through the conceptual translation between embodied, virtual, and student-constructed representations. Findings suggest that effective annotation tools for embodied learning should provide students with avenues for constructing and communicating scientific arguments, questioning the validity of competing representations, and mapping their peers’ movements onto conceptual ideas.

Authors

Institutions

Publication Details

Journal
Journal of Science Education and Technology
Published
2025-11-14
DOI
https://doi.org/10.1007/s10956-025-10248-7
Primary Topic
Action Observation and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Scientific Annotation Tools to Support Collaborative Embodied Learning in Elementary School Classrooms

Xintian Tu, Megan Humburg, Noel Enyedy, Bria Carter et al.
Journal of Science Education and Technology
Action Observation and Synchronization
article

Using Scientific Annotation Tools to Support Collaborative Embodied Learning in Elementary School Classrooms

Xintian Tu, Megan Humburg, Noel Enyedy, Bria Carter, Chris Georgen, Joshua Danish
article en

Abstract

Abstract Past research has demonstrated the utility of technologically mediated embodiment for young students’ science learning; however, many technologies designed to support embodied learning engage only small groups. To support whole-class embodied activities, we present findings demonstrating the value of peer observation and annotation of embodied activities for supporting teacher orchestration of embodied learning and helping students link embodied models to scientific ideas. This study investigates three annotation tools—event buttons, drawing, and graph-generating sliders—in the context of the Science through Technology Enhanced Play (STEP) mixed-reality environment, where students use full-body motion around the classroom to embody water particles in different states of matter. Student observers use a tablet application to annotate the embodied model as it is produced, an activity intended to help them translate their peers’ motion into other representational forms that can support collaborative sensemaking. Interaction analysis of classroom discussions reveals how annotation tools support teachers in guiding students through the conceptual translation between embodied, virtual, and student-constructed representations. Findings suggest that effective annotation tools for embodied learning should provide students with avenues for constructing and communicating scientific arguments, questioning the validity of competing representations, and mapping their peers’ movements onto conceptual ideas.

Journal of Science Education and Technology
University of Illinois Urbana-Champaign (US), Vanderbilt University (US), Digital Promise (US), Indiana University Bloomington (US), University at Buffalo, State University of New York (US)
National Science Foundation
Openalex Percentile: Top 61%
Action Observation and Synchronization
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.