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

Amal Kadan-Tabaja, Michal Yerushalmy

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalComputers in the Schools
DOIs
StateAccepted/In press - 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.

Keywords

  • automated assessment platform
  • example-eliciting task
  • self-reflection
  • visual representation

ASJC Scopus subject areas

  • General Computer Science
  • Education
  • Library and Information Sciences

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