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iSAT: a visual learning analytics tool for instructors.

Rwitajit Majumdar1, Sridhar Iyer1,2

  • 11Inter-disciplinary Program in Educational Technology, Indian Institute of Technology Bombay, Powai, Mumbai, 400076 India.

Research and Practice in Technology Enhanced Learning
|January 8, 2019
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Summary
This summary is machine-generated.

Interactive Stratified Attribute Tracking (iSAT) visualizes student transitions in teaching activities. This tool helps instructors analyze peer instruction data in real-time, revealing seven distinct transition patterns for better pedagogical planning.

Keywords:
Active learningCohort analysisLearning analyticsPeer instructionTeacher trainingVisual analyticsiSAT

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Area of Science:

  • Educational Technology
  • Data Visualization
  • Learning Analytics

Background:

  • Traditional analysis of teaching-learning data often relies on static visualizations like histograms.
  • Instructors need dynamic tools to understand student engagement and learning dynamics during activities.
  • Peer Instruction (PI) activities generate valuable data but often lack real-time, in-depth analysis.

Purpose of the Study:

  • To introduce Interactive Stratified Attribute Tracking (iSAT) as a visual analytics tool for cohort analysis in educational settings.
  • To demonstrate how iSAT can visualize student transitions during teaching-learning activities, specifically in Peer Instruction.
  • To explore the utility and usability of iSAT for instructors to analyze real-time student response data.

Main Methods:

  • Developed and applied Interactive Stratified Attribute Tracking (iSAT), a visual analytics tool.
  • Utilized iSAT to analyze clicker response data from a Peer Instruction activity in real-time.
  • Identified and interpreted seven distinct student transition patterns: aligned, returns, starburst, slide, attractor, switching, and void.

Main Results:

  • iSAT enables real-time visualization of student transitions, offering insights beyond traditional histograms.
  • Seven unique transition patterns were identified, providing a nuanced understanding of student engagement and learning.
  • Workshop participants reported usefulness and usability of iSAT for analyzing their own teaching data.

Conclusions:

  • Interactive Stratified Attribute Tracking (iSAT) empowers instructors with advanced cohort analysis capabilities.
  • The tool facilitates real-time understanding of student dynamics, supporting informed pedagogical decisions.
  • iSAT enhances the analysis of teaching-learning activities by visualizing complex transition patterns.