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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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Automating Individualized Formative Feedback in Large Classes Based on a Directed Concept Graph.

Henry E Schaffer1, Karen R Young2, Emily W Ligon1

  • 1Genetics and Office of Information Technology, NC State University Raleigh, NC, USA.

Frontiers in Psychology
|March 16, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a new computer analytics method to improve student progress in large classes. It provides individualized, formative feedback based on concept mastery, regardless of course format or technology.

Keywords:
automatic assessment toolsconcept graphconcept treeformative assessmentinstructor interfacesintelligent tutoring systemslearner-content interactionstudent assessment

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Area of Science:

  • Educational Technology
  • Computer Science

Background:

  • Student learning outcomes are critical for higher education success metrics.
  • Large class sizes limit student-to-instructor interaction, impacting student progress.
  • Current learning analytics (LA) often rely on Learning Management System (LMS) data, which may not directly address individual student struggles.

Purpose of the Study:

  • To develop a scalable and affordable methodology for providing individualized formative feedback to students in large courses.
  • To offer assistance that is more directly related to student understanding of course concepts.
  • To create a system adaptable to various course formats and technologies.

Main Methods:

  • Dissecting course concepts into a directed graph structure.
  • Mapping test questions to these course concepts.
  • Analyzing student performance on test questions to identify areas of difficulty.

Main Results:

  • The methodology provides individualized, formative feedback to students.
  • The system is scalable and affordable for large class settings.
  • It is compatible with diverse educational technologies and course delivery methods.

Conclusions:

  • This computer analytical methodology offers a novel approach to supporting student learning in higher education.
  • It enables personalized academic support irrespective of class size or delivery mode.
  • The system's adaptability makes it a versatile tool for educators.