Smart learning analytics

David Boulanger, Jeremie Seanosky, Vive Kumar, Kinshuk, Karthikeyan Panneerselvam, Selvi Somasundaram Thamarai Selvi Somasundaram

Research output: Contribution to journalJournal Articlepeer-review

18 Citations (Scopus)

Abstract

A smart learning environment (SLE) is characterized by the key provision of personalized learning experiences. To approach different degrees of personalization in online learning, this paper introduces a framework called SCALE that tracks finer level learning experiences and translates them into opportunities for custom feedback. A prototype version of the SCALE system has been used in a study to track the habits of novice programmers. Growth of coding competencies of first year engineering students has been captured in a continuous manner. Students have been provided with customized feedback to optimize their learning path in programming. This paper describes key aspects of our research with the SCALE system and highlights results of the study.

Original languageEnglish
Pages (from-to)289-296
Number of pages8
JournalLecture Notes in Educational Technology
Issue number9783662441879
DOIs
Publication statusPublished - 2015

Keywords

  • Big data learning analytics
  • E-Learning technologies
  • Novice programming
  • Programming
  • SCALE framework
  • Smart learning environment

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