CCE Theses and Dissertations

Date of Award

2015

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computing Technology in Education (DCTE)

Department

Graduate School of Computer and Information Sciences

Advisor

Timothy J. Ellis

Committee Member

Martha M. Snyder

Committee Member

Steve R. Terrell

Keywords

Instructional Design, Educational Technology, boredom, cognitive load, CTML, learning, lecture capture, video

Abstract

Making video recordings of large classroom lectures and putting them online is increasingly common in distance and blended learning courses. However, the best way to use lecture video is not well understood. Using long streams of one-way communication is not consistent with best practices in online learning. During lectures, students assume a largely passive role. They think faster than instructors speak, so boredom and daydreaming are common. Yet, when complex or novel ideas are presented, students may have inadequate time to encode, organize, and integrate the input with prior experience. Especially for students with low prior knowledge of the subject being discussed, the lecture is a cognitive and affective roller coaster ride that works at cross purposes with learning. Viewing a lecture that was recorded at an earlier time adds the element of temporal distance from the learning event, and changes the student’s role from participant to spectator. The present study investigated whether learning could be increased and perceptions of difficulty reduced when a captured lecture received a “makeover” before being put online. The makeover consisted of 1) editing the lecture video in accordance with the cognitive theory of multimedia learning; 2) processing the video using best practices for audio/video production; and 3) increasing the video playback speed. The research design for the study was quasiexperimental. The independent variable was captured lecture form (edited or unedited). The dependent variables were learning results for recognition and recall, and perceptions of difficulty. Data analysis employed independent-samples t-tests, multivariate analysis of variance (MANOVA), and repeated-measures MANOVA. Conclusions were that the editing protocol made no significant difference in learning gains for recognition or recall, and did not significantly affect perceptions of difficulty. However, editing did result in a 39% reduction in the length of the lecture, raising the possibility that such a makeover might allow for faster learning when lecture video is used.

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