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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

Baylor, Amy L. – Journal of Educational Computing Research, 2002
Discusses intelligent learning environments for computer-based learning, such as agent-based learning environments, and their advantages over human-based instruction. Considers the effects of multiple agents; agents and research design; the use of Multiple Intelligent Mentors Instructing Collaboratively (MIMIC) for instructional design for…
Descriptors: Artificial Intelligence, Educational Environment, Futures (of Society), Instructional Design
Baylor, Amy L.; Kozbe, Barcin – 1998
This paper describes a Personal Intelligent Mentor (PIM) that facilitates metacognitive development in the domain of solving logic word puzzles. Metacognition is an important aspect for critical thinking skills. High school students must develop logical and critical thinking abilities as a prerequisite for higher-level math and computer…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Computer Uses in Education