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ERIC Number: EJ1470395
Record Type: Journal
Publication Date: 2025-May
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Available Date: 2024-11-20
Enhancing Learner Satisfaction through Human-Like Digital Instructors: An Empirical Study on the Role of Visual and Verbal Human Likeness in E-Learning
Lianghai Chu1,2
Education and Information Technologies, v30 n7 p8713-8731 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience Economy model. The research utilizes educational videos featuring AI-generated digital human instructors, examining how both visual and verbal human likeness influence learner experiences across four key dimensions: education, entertainment, aesthetics, and escapism. Data were collected from 204 participants through an online survey, and the results reveal that higher levels of human likeness in digital instructors significantly enhance learner satisfaction through improved educational experiences. Additionally, the study discusses the theoretical and practical implications of these findings, emphasizing the importance of optimizing human likeness in the design of digital instructors to achieve superior e-learning outcomes. The study also identifies areas for future research, including the integration of non-verbal communication elements and the exploration of gender effects in digital human technology.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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
Author Affiliations: 1Xi’an Shiyou University, Office of information construction and Management, Xi’an, China; 2Xi’an Shiyou University, School of Petroleum Engineering, Xi’an, China