A Study of Keywords Based on the Word Frequency Effect Theory in Video Lectures of Software Engineering Education for Detecting Mind

Jaechoon Jo, Heui Seok Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increased popularity of Massive Open Online Courses (MOOC) and e-learning has constantly increased video-based online education platforms. There are also many video lectures for software engineering education in online education platforms. Although online lectures have many advantages, there are also limitations. We performed a verification research to see if high frequency words can detect mind wandering to resolve existing limitations. In this verification study, experiments to identify whether high frequency words can represent the software engineering video lecture, the minimum number of words needed to detect mind wandering, and whether mind wandering detection standards should be changed according to the length of the video lecture. The results of this study confirmed that mind wandering can be detected through high frequency words and they can be used as an important feature in various learning analysis investigations to resolve existing limitations of online education.

Original languageEnglish
Title of host publicationProceedings - 30th IEEE Conference on Software Engineering Education and Training, CSEE and T 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-245
Number of pages5
Volume2017-January
ISBN (Electronic)9781538625361
DOIs
Publication statusPublished - 2017 Dec 4
Event30th IEEE Conference on Software Engineering Education and Training, CSEE and T 2017 - Savannah, United States
Duration: 2017 Nov 72017 Nov 9

Other

Other30th IEEE Conference on Software Engineering Education and Training, CSEE and T 2017
CountryUnited States
CitySavannah
Period17/11/717/11/9

Keywords

  • Attention
  • E-Assessment
  • Forgetting curve
  • Online Education
  • Word embedding
  • Working memory

ASJC Scopus subject areas

  • Software
  • Education

Fingerprint Dive into the research topics of 'A Study of Keywords Based on the Word Frequency Effect Theory in Video Lectures of Software Engineering Education for Detecting Mind'. Together they form a unique fingerprint.

  • Cite this

    Jo, J., & Lim, H. S. (2017). A Study of Keywords Based on the Word Frequency Effect Theory in Video Lectures of Software Engineering Education for Detecting Mind. In Proceedings - 30th IEEE Conference on Software Engineering Education and Training, CSEE and T 2017 (Vol. 2017-January, pp. 241-245). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSEET.2017.46