Optimizing Adaptive Learning Using Statistical and Network Analysis Within the Chunk Learning System

Abstract

What can we learn from analyzing how a learner operates within an e-learning system? This research examines an adaptive education system known as CHUNK Learning. This system converts educational material into a network composed of nodes, or CHUNKs of educational content, and edges that represent the connections between some of the nodes. As of now, learners have freedom of maneuver to navigate withinthe system at their leisure. Each of their actions is a piece of data that can be used by an instructor to comprehend whether a learner is effectively learning or not.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2020
Accession Number
AD1114648

Entities

People

  • Welvinjohn Lucero

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Science
  • Education
  • Graph Theory
  • Graphical User Interface
  • Information Science
  • Instructors
  • Mathematics
  • Network Science
  • Operations Research
  • Pedagogy
  • Statistical Analysis
  • Statistics
  • Students

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • STEM Education
  • Systems Analysis and Design