ERIC Number: EJ1356802
Record Type: Journal
Publication Date: 2022-Dec
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0266-4909
EISSN: EISSN-1365-2729
Available Date: N/A
The Influences of a Virtual Instructor's Voice and Appearance on Learning from Video Lectures
Journal of Computer Assisted Learning, v38 n6 p1703-1713 Dec 2022
Background: Video lectures which include the instructor's presence are becoming increasingly popular. Presenting a real human does, however, entail higher financial and time costs in making videos, and one innovative approach to reduce costs has been to generate a virtual speaking instructor. Objectives: The current study examined whether the use of a virtual instructor in video lectures would facilitate learning as well as a human instructor, and whether manipulating the virtual instructor's characteristics (i.e., voice and appearance) might optimize the effectiveness of the virtual instructor. Methods: Our study set four conditions. In the control condition, students watched a human instructor. In the experiment conditions, students watched one of (a) a virtual instructor which used the human instructor's voice and an AI image, (b) a virtual instructor which spoke in an AI voice with an AI image made to speak using text-to-speech and lip synthesis techniques, or (c) a virtual instructor with used an AI voice and an AI likable-image of an instructor. Results and Conclusions: The AI likable instructor condition had a significant positive effect on students' learning performance and motivation, without decreasing the attention students paid to the learning materials. Implications: Our findings suggest that instructional video designers can make use of AI voices and AI images of likable humans as instructors to motivate students and enhance their learning performance.
Descriptors: Video Technology, Lecture Method, Computer Simulation, Instructional Effectiveness, Teacher Characteristics, Artificial Intelligence, Verbal Communication, Performance, Student Motivation, Attention
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://publons.com/publon/10.1111/jcal.12704
Author Affiliations: N/A