Using contactless sensors to estimate learning difficulty in digital learning environments

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

Digital learning environments provide rich and engaging experiences for students to develop different knowledge and skills. However, learning systems in these environments generally lack the capacity to assess student difficulties in realtime. The lack of timely assessment and guidance can result in unproductive floundering and associated frustration [3, 9]. Standard measures are mostly focused on the use of questionnaires, intervews or think-aloud protocols for capturing learners' subjective feedback on affect, mental-effort, perceived learning, and user preferences [5]. Though these instruments are effective in capturing overall sentiments and reactions, they do not provide enough granularity to conduct detailed analyses on how specific parts of the lecture affect the learning experience.
Original languageEnglish
Pages (from-to)399-403
Number of pages5
JournalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
DOIs
Publication statusPublished - Sep 2019
Externally publishedYes

Keywords

  • Education
  • Learning Analytics
  • Online Learning
  • Video Lectures

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