Optimising Multimedia Learning: Effects of Pedagogical Agents' Appearance and Voice

ABSTRACT Background In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice type, affect multimedia learning performance. Methods A 2 (appearance: formal vs. informal) × 2 (voice type: human vs. engine‐generated voice) between‐subjects design was employed, incorporating eye‐tracking technology. A total of 115 participants completed a multimedia learning module on chemical synaptic transmission. Learning outcomes were assessed using retention and transfer tests. Learner perceptions were measured across five indicators: social perception, perceived difficulty, lecture engagement, situational interest, and cognitive load. Results and Conclusions Pedagogical agents with a formal appearance positively influenced learning outcomes, increasing fixation duration and fixation count, while reducing perceived material difficulty and intrinsic load. Agents with human voices similarly enhanced learning outcomes, increasing fixation counts, social perception, lecture engagement, and situational interest, while reducing perception difficulty, intrinsic load and extraneous load. The combination of a human voice and formal appearance produced the greatest benefits in learning performance. Meanwhile, compared to the combination of informal appearance and engine‐generated voice, the formal appearance with a human voice indirectly affected learning outcomes by reducing perceived difficulty, intrinsic load and extraneous load. It also indirectly increased fixation count through enhanced social perception, lecture engagement and situational interest. These findings advance our understanding of the role of pedagogical agents in multimedia learning and offer valuable insights for designing effective instructional tools that maximise engagement and learning outcomes.

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Publication Details

Journal
Journal of Computer Assisted Learning
Published
2025-07-14
DOI
https://doi.org/10.1111/jcal.70101
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimising Multimedia Learning: Effects of Pedagogical Agents' Appearance and Voice

Mengshi Xiao, Lei Han, Weizi Li, Shasha Zheng
1 links
Journal of Computer Assisted Learning
Visual and Cognitive Learning Processes
article

Optimising Multimedia Learning: Effects of Pedagogical Agents' Appearance and Voice

Mengshi Xiao, Lei Han, Weizi Li, Shasha Zheng
article en

Abstract

ABSTRACT Background In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice type, affect multimedia learning performance. Methods A 2 (appearance: formal vs. informal) × 2 (voice type: human vs. engine‐generated voice) between‐subjects design was employed, incorporating eye‐tracking technology. A total of 115 participants completed a multimedia learning module on chemical synaptic transmission. Learning outcomes were assessed using retention and transfer tests. Learner perceptions were measured across five indicators: social perception, perceived difficulty, lecture engagement, situational interest, and cognitive load. Results and Conclusions Pedagogical agents with a formal appearance positively influenced learning outcomes, increasing fixation duration and fixation count, while reducing perceived material difficulty and intrinsic load. Agents with human voices similarly enhanced learning outcomes, increasing fixation counts, social perception, lecture engagement, and situational interest, while reducing perception difficulty, intrinsic load and extraneous load. The combination of a human voice and formal appearance produced the greatest benefits in learning performance. Meanwhile, compared to the combination of informal appearance and engine‐generated voice, the formal appearance with a human voice indirectly affected learning outcomes by reducing perceived difficulty, intrinsic load and extraneous load. It also indirectly increased fixation count through enhanced social perception, lecture engagement and situational interest. These findings advance our understanding of the role of pedagogical agents in multimedia learning and offer valuable insights for designing effective instructional tools that maximise engagement and learning outcomes.

Journal of Computer Assisted LearningVol. 41(4)
Shandong Normal University (CN), Government of Jilin Province (CN), People's Government of Shaanxi Province (CN)
National Natural Science Foundation of China, Taishan Scholar Foundation of Shandong Province
Openalex Percentile: Top 83%
Visual and Cognitive Learning Processes
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