Yanghee Kim

Content-Based English Learning through Pedagogical Agents

Yanghee Kim et al. — Thu, 15 Dec 2011 13:26:13 PST

Pedagogical Agents as Social Models to Influence Learner Attitudes

Yanghee Kim et al. — Tue, 29 Jun 2010 14:48:33 PDT

Based on social-cognitive theory, we describe the role of pedagogical agents as “social models.” In several experimental studies we have found that pedagogical agents as social models can effectively persuade and motivate learners. We briefly describe two on-going projects where agents as social models are employed to enhance young women’s motivation and attitudes toward math and engineering.

Pedagogical Agents as Learning Companions: The Impact of Agent Emotion and Gender

Yanghee Kim et al. — Tue, 29 Jun 2010 14:48:32 PDT

Abstract The potential of emotional interaction between human and computer has recently interested researchers in human–computer interaction. The instructional impact of this interaction in learning environments has not been established, however. This study examined the impact of emotion and gender of a pedagogical agent as a learning companion (PAL) on social judgements, interest, self-efficacy, and learning. Two experiments investigated separately the effects of a PAL's emotional expression and empathetic response. Experiment 1 focused on emotional expression (positive vs. negative vs. neutral) and gender (male vs. female) with a sample of 142 male and female college students in a computer literacy course. Experiment 2 investigated the impact of empathetic response (responsive vs. non-responsive) and gender with 56 pre-service teachers. Overall, the results yielded main and interaction effects of PAL emotion and gender on the dependent variables. In particular, the PAL's empathetic response had a positive impact on learner interest and self-efficacy; PAL gender had a positive impact on recall. The findings imply that the emotion and the gender of the digital learning companion could be utilized to optimize college students' motivation and learning.

Pedagogical Agents as Learning Companions: Building Social Relations with Learners

Yanghee Kim — Tue, 29 Jun 2010 14:48:32 PDT

This study examined the potential of pedagogical agents as learning companions (PALs) to build social relations with learners and, consequently, to motivate learning. The study investigated the impact of PAL affect (positive vs. negative vs. neutral), PAL gender (male vs. female), and learner gender (male vs. female) on learners' social judgments, motivation, and learning in a controlled experiment. Participants were 142 college students in a computer-literacy course. Overall, the results indicated the interaction effects of PAL affect, PAL gender, and learner gender on learners' social judgments (p < .001). PAL affect impacted learners' social judgments (p < .001) and motivation (p < .05). PAL gender influenced motivation (p < .01) and recall of learning ( p < .05). Learner gender influenced recall of learning (p < .01). The implications of the findings are discussed.

Desirable Characteristics of Learning Companions

Yanghee Kim — Tue, 29 Jun 2010 14:48:31 PDT

This study investigated the desirable characteristics of anthropomorphized learning-companion agents for college students. First, interviews with six undergraduates explored their concepts of desirable learning companions. The interviews yielded agent competency, agent personality, and interaction control. Next, a controlled experiment examined whether learner competency (strong vs. weak) would relate directly to agent competency (high vs. low) and to interaction control (agent-control vs. learner-control). The dependent measures included learners' perceptions of agent functionality, their self-efficacy beliefs in the task, and their learning. The results indicated that academically strong students perceived the high-competent agent higher than the lowcompetent agent and showed higher self-efficacy beliefs in the task and recalled more after working with the high-competent agent. Academically weak students, by contrast, showed higher self-efficacy and recalled more after working with the low-competent agent. Also, academically strong students valued agent-control highly, but academically weak students valued learner-control. The strong students showed higher self-efficacy in agentcontrol but lower self-efficacy in learner-control than did the weak students. In general, the results indicated that the similarities of characteristics between an agent and a learner have positive impacts on learners' cognitive and affective attainments.

A Social-Cognitive Framework for Designing Pedagogical Agents as Learning Companions

Yanghee Kim et al. — Tue, 29 Jun 2010 14:48:31 PDT

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.

Pedagogical Agents as Learning Companions: The Role of Agent Competency and Type of Interaction

Yanghee Kim et al. — Tue, 29 Jun 2010 14:48:30 PDT

This study was designed to examine the effects of the competency (low vs. high) and interaction type (proactive vs. responsive) of pedagogical agents as learning companions (PALs) on learning, self-efficacy, and attitudes. Participants were 72 undergraduates in an introductory computer-literacy course who were randomly assigned to one of four treatments: Low-Proactive, Low-Responsive, High-Proactive, and High-Responsive. Results indicated a main effect for PAL competency. Students who worked with the high-competency PAL in both proactive and responsive conditions achieved higher scores in applying what they had learned and showed more positive attitudes toward the PAL. However, students who worked with the low-competency PAL reported significantly enhanced self-efficacy beliefs in the learning tasks. Also, there was a main effect far PAL interaction type. A proactive PAL had a significantly positive impact on recall. These different results on learning and motivational outcomes suggest that the competency and interaction type of a PAL should be designed according to the desired learning and motivational goals.

Simulating Instructional Roles through Pedagogical Agents

Amy L. Baylor et al. — Tue, 29 Jun 2010 14:48:30 PDT

This paper describes the design and empirical validation of three distinct pedagogical agent roles (Expert, Motivator, and Mentor) for college students within the MIMIC (Multiple Intelligent Mentors Instructing Collaboratively) agent-based research environment. The pedagogical agent roles were operationalized by image, animation, affect, voice and script, and were developed in Poser 4 and implemented via Microsoft Agent. Two controlled experiments validated the instantiation of the three roles according to learner perception (N=78) and actual impact on motivation and learning (N=71). The results confirmed that the agent roles were not only perceived by the students to reflect their intended purposes but also led to significant changes in learning and motivation, as designed. Specifically, the Expert agent led to increased information acquisition, the Motivator led to increased self-efficacy, and the Mentor led to overall improved learning and motivation. The implications for intelligent tutoring and multi-agent system design and development is discussed.

Pedagogical agents as social models to influence learner attitudes

Yanghee Kim — Thu, 09 Apr 2009 19:37:29 PDT