Affect in Embodied Pedagogical Agents: Meta-Analytic Review. (September 2015)

• Record Type: Journal Article
• Authors: Guo, Yan Ru; Goh, Dion Hoe-Lian
• Is Part Of: Journal of educational computing research. Volume 53:Number 1(2015)
• Page Start: 124
• Page End: 149
• Publication Date: 2015-09
• Subjects: affect -- agents -- computer-based learning environments -- embodied pedagogical agents -- learning motivation -- meta-analytic review; Computer literacy -- Periodicals; Computer-assisted instruction -- Periodicals; Computer managed instruction -- Periodicals; Education -- Data processing -- Periodicals; 371.334
• DOI: 10.1177/0735633115588774
• Languages: English
• ISSNs: 0735-6331

Abstract

Over the past decade, computer games and other interactive technologies have shown great potential when used in innovative ways to enhance learning. It is now known that learning is associated not only with cognitive ability but also with affect. The incorporation of affective embodied pedagogical agents (EPAs) in computer programs for learning can significantly influence learner beliefs and efficacy. However, there have been a number of criticisms and contradictory empirical findings calling into question earlier results and theoretical claims on the effectiveness of using EPAs. Therefore, this paper reviewed studies that evaluated the effectiveness of affect in EPAs in a computer-based learning environment (CLE). The statistical meta-analytic review ( k = 30, n = 2, 150) found that the use of affect in EPAs has a significant and moderate impact ( r = .35) on students' learning motivation and a relatively smaller impact on knowledge retention ( r = .29) and knowledge transfer ( r = .26). The effect sizes of the three outcome variables in this review are stronger compared with previous meta-analysis on the impact of the embodiment level of EPAs, indicating that the use of affect is more desirable and effective in CLEs. Finally, implications for both designers and researchers of using affective EPAs in CLEs are discussed.