Amy L. Baylor is affiliated with the National Science Foundation in the United States. Their research primarily spans the fields of Computer Science and Psychology, with particular emphasis on Computer Science Applications and Developmental and Educational Psychology.
Their work focuses on topics including Innovative Teaching and Learning Methods, Online Learning and Analytics, and Teaching and Learning Programming. These areas reflect a concentration on educational strategies and technological integration in learning environments.
Baylor has contributed scholarly articles to journals such as Educational Technology Research and Development. A notable recent publication is titled Explicit instruction in the context of whole-tasks: the effectiveness of the task-centered instructional strategy in computer science education, published in 2022 in Educational Technology Research and Development.
Their collaborative network includes frequent coauthors Rinat B. Rosenberg-Kima, Margaret Merrill, and Tristan E. Johnson.
This venue is a primary outlet for their published research.
Amy L Baylor;Donn Ritchie
Amy L. Baylor;Yanghee Kim
Yanghee Kim;Amy L. Baylor
Amy L. Baylor
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Amy L. Baylor;Jeeheon Ryu
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Amy L. Baylor
Amy L. Baylor;Soyoung Kim
Yanghee Kim;Amy L. Baylor
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E. Ashby Plant;Amy L. Baylor;Celeste E. Doerr;Rinat B. Rosenberg-Kima
Rinat B. Rosenberg-Kima;Amy L. Baylor;E. Ashby Plant;Celeste E. Doerr
Amy Baylor
Amy Baylor
Jeeheon Ryu;Amy L. Baylor
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Amy Baylor;Yanghee Kim
Amy L. Baylor
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