Effects of Segmentation and Self-Explanation Designs on Cognitive Load in Instructional Videos

Hua Zheng, Eulho Jung, Tong Li, Meehyun Yoon

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This experimental study examined the effects of segmentation and self-explanation designs on cognitive load in instructional videos. Four types of instructional videos (segmentation, self-explanation, combined, and control) were created and tested by 121 undergraduate students randomly assigned to one of four research groups. The results of students’ self-ratings on the cognitive load survey showed that the segmenting design produced a significantly less germane cognitive load than the two non-segmenting designs (self-explanation and control). The self-explanation design did not produce a significantly more germane load than the control design. However, students’ dispositions toward segmentation and self-explanation designs were generally positive and supported the theoretical justifications reported in the literature. The findings are discussed, along with segmentation dilemmas, limitations, and future study implications.
Original languageAmerican English
JournalContemporary Educational Technology
Volume14
Issue number2
DOIs
StatePublished - Jan 2022

Keywords

  • Cognitive load
  • Instructional video
  • Multimedia learning design principle
  • Segmentation
  • Self-explanation

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