Automated Assessment of Students’ Interactions with Visual Representations: A Metacognitive Perspective on Comparing Fractions

This study investigated students' engagement with feedback processes in tasks of comparing fractions using visual representations. The research had two main goals. First, it used automated analysis based on student responses to explore the diversity of work methods deployed by students in completing the tasks. Second, it investigated students' metacognitive actions as they interacted with visual representations, examining how these actions shaped their work methods. We analyzed student responses to track metacognitive actions, including planning, monitoring, and evaluating. The investigation helped explain the feedback process the students used as they engaged with the tasks and visual representations. Data were collected from 75 students aged 12–13 years. The findings provide insight into students' effective engagement with feedback generated by an automated formative assessment platform.

Authors

Institutions

Publication Details

Journal
Computers in the Schools
Published
2024-08-22
DOI
https://doi.org/10.1080/07380569.2024.2390406
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Automated Assessment of Students’ Interactions with Visual Representations: A Metacognitive Perspective on Comparing Fractions

Michal Yerushalmy, Amal Kadan-Tabaja
Computers in the Schools
Intelligent Tutoring Systems and Adaptive Learning
article

Automated Assessment of Students’ Interactions with Visual Representations: A Metacognitive Perspective on Comparing Fractions

Michal Yerushalmy, Amal Kadan-Tabaja
article en

Abstract

This study investigated students' engagement with feedback processes in tasks of comparing fractions using visual representations. The research had two main goals. First, it used automated analysis based on student responses to explore the diversity of work methods deployed by students in completing the tasks. Second, it investigated students' metacognitive actions as they interacted with visual representations, examining how these actions shaped their work methods. We analyzed student responses to track metacognitive actions, including planning, monitoring, and evaluating. The investigation helped explain the feedback process the students used as they engaged with the tasks and visual representations. Data were collected from 75 students aged 12–13 years. The findings provide insight into students' effective engagement with feedback generated by an automated formative assessment platform.

Computers in the SchoolsVol. 42(1)
University of Haifa (IL)
Israel Science Foundation
Quality Education
Openalex Percentile: Top 89%
Intelligent Tutoring Systems and Adaptive Learning
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.