Teaching and learning are highly social activities. Seminal psychologists such as Vygotsky, Piaget, and Bandura have theorized that social interaction is a key mechanism in the process of learning and development. In particular, the benefits of peer interaction for learning and motivation in classrooms have been broadly demonstrated through empirical studies. Hence, it would be valuable if computer-based environments could support a mechanism for a peer interaction. Though no claim of peer equivalence is made, pedagogical agents as learning companions (PALs)-animated digital characters functioning to simulate human-peer-like interaction-might provide an opportunity to simulate such social interaction in computer-based learning. In this article we ground the instructional potential of PALs in several social-cognitive theories, including distributed cognition, social interaction, and Bandura's social-cognitive theory. We discuss how specific concepts of the theories might support various instructional functions of PALs, acknowledging concepts that PALs cannot address. Based on the theoretical perspectives, we suggest key constituents for designing PALs that in human-peer interactions have proven significant. Finally, we review the current status of PAL research with respect to these constituents and suggest where further empirical research is necessary.Keywords: pedagogical agents, learning companions, social interaction, computer-based learning environment, advanced technology for learning Advances in computer and communication technology are providing opportunities to augment human cognition, interaction, and even social rela-
Anthropomorphic virtual agents can serve as powerful technological mediators to impact motivational outcomes such as self-efficacy and attitude change. Such anthropomorphic agents can be designed as simulated social models in the Bandurian sense, providing social influence as virtual 'role models'. Of particular value is the capacity for designing such agents as optimized social models for a target audience and context. Importantly, the visual presence and appearance of such agents can have a major impact on motivation and affect regardless of the underlying technical sophistication. Empirical results of different instantiations of agent presence and appearance are reviewed for both autonomous virtual agents and avatars that represent a user.
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