Citation
Liew, Tze Wei and Tan, Su Mae and Gan, Chin Lay and Kew, Si Na (2023) A Human or a Computer Agent: The Social and Cognitive Effects of an e-Learning Instructor’s Identity and Voice Cues. Lecture Notes in Computer Science, 14040. pp. 292-304. ISSN 0302-9743 Full text not available from this repository.Abstract
An instructor in an e-learning video can identify as a human or a computer agent. Relatedly, they can project a human-recorded voice or a machine-voice generated from a classical text-to-speech engine. This study examines the effects of an e-learning instructor’s identity and voice cues on an instructor’s social ratings, learners’ cognitive load, and learning performance. A between-subjects laboratory experiment was conducted where university undergraduates (n = 108) interacted with either one of the four e-learning videos featuring different pairings of an instructor’s identity (human versus agent) and voice (human-voice versus machine-voice) cues that delivered a lesson on programming algorithms. The findings affirmed the voice effects in multimedia learning in that the human-voice enhanced social and learning outcomes more than the machine-voice, irrespective of the identity cues. Credibility ratings were diminished when an instructor identified as a computer agent projected a human-voice than a machine-voice—additionally, endowing a human-identified instructor with a machine-voice prompted learners to assign lower intrinsic cognitive load. These observations imply the congruence/incongruence effects of identity-voice cue pairings on social and cognitive load outcomes. Theoretical and practical implications are discussed in this paper.
Item Type: | Article |
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Uncontrolled Keywords: | E-learning, Multimedia learning, Social agency, Voice effect, Identity cue, Cognitive load |
Subjects: | L Education > LB Theory and practice of education > LB1060 Learning |
Divisions: | Faculty of Business (FOB) Faculty of Information Science and Technology (FIST) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 05 Oct 2023 06:49 |
Last Modified: | 05 Oct 2023 06:50 |
URII: | http://shdl.mmu.edu.my/id/eprint/11749 |
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