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

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.