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Kim, Yanghee; Baylor, Amy L. – International Journal of Artificial Intelligence in Education, 2016
In this paper we review the contribution of our original work titled "Simulating Instructional Roles Through Pedagogical Agents" published in the "International Journal of Artificial Intelligence and Education" (Baylor and Kim in "Computers and Human Behavior," 25(2), 450-457, 2005). Our original work operationalized…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer Interfaces, Instructional Design
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Baylor, Amy L. – Educational Technology Research and Development, 2011
While the addition of an anthropomorphic interface agent to a learning system generally has little direct impact on learning, it potentially has a huge impact on learner motivation. As such agents become increasingly ubiquitous on the Internet, in virtual worlds, and as interfaces for learning and gaming systems, it is important to design them to…
Descriptors: Nonverbal Communication, Self Efficacy, Motivation Techniques, Instructional Design
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Plant, E. Ashby; Baylor, Amy L.; Doerr, Celeste E.; Rosenberg-Kima, Rinat B. – Computers & Education, 2009
Women's under-representation in fields such as engineering may result in part from female students' negative beliefs regarding these fields and their low self-efficacy for these fields. In this experiment, we investigated the use of animated interface agents as social models for changing male and female middle-school students' attitudes toward…
Descriptors: Student Attitudes, Self Efficacy, Computer Interfaces, Engineering
Baylor, Amy L. – 1999
This experimental study investigated internal (psychological characteristics) and external (World Wide Web site features) factors influencing learning and disorientation in Web navigation. The research design was a two-factors ANOVA (ANalysis Of VAriance) with mode of navigation (linear, nonlinear) and distracters (i.e., the presence of…
Descriptors: Analysis of Variance, Computer Interfaces, Design Preferences, Individual Differences