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John D. Egan; Steven Tolman; Juliann Sergi McBrayer; Emily Ballesteros – Experiential Learning and Teaching in Higher Education, 2023
Kolb's experiential learning cycle is typically applied in short-term, episodic snapshots of time, while understating the implications of continual, longer-term learning. This fixed-frame, episodic usage may diminish the knowledge that learners bring into an educational experience and the continued shaping of knowledge through future experiences.…
Descriptors: Experiential Learning, Lifelong Learning, Models, Learning Processes
Tiffany Barnes; Sarah Burriss; Joshua Danish; Samantha Finkelstein; Megan Humburg; Ally Limke; Ole Molvig; Heidi Reichert – Community for Advancing Discovery Research in Education (CADRE), 2024
Research and development work in artificial intelligence in education (AIED) is wide ranging and rapidly growing to support all areas of science, technology, engineering, and mathematics (STEM) teaching and learning. At the risk of hyperbole, this is potentially the most fundamentally game-changing technology for education to emerge since the…
Descriptors: Ethics, Artificial Intelligence, Educational Research, Technology Uses in Education
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Desimone, Laura M. – Educational Researcher, 2009
The author suggests that we apply recent research knowledge to improve our conceptualization, measures, and methodology for studying the effects of teachers' professional development on teachers and students. She makes the case that there is a research consensus to support the use of a set of core features and a common conceptual framework in…
Descriptors: Professional Development, Interviews, Surveys, Active Learning
King, Kathleen P., Ed. – IAP - Information Age Publishing, Inc., 2009
This handbook is a much expanded version of the original Learning Activities Survey published by Dr. Kathleen P. King of Fordham University in 1998. Based on her ground breaking research in this field where she used a mixed methodology research approach to study transformative learning, the book will provide a model of research, firsthand…
Descriptors: Transformative Learning, Adult Education, Lifelong Learning, Educational Research
Mondi, Makingu; Woods, Peter; Rafi, Ahmad – Educational Technology & Society, 2008
This study investigates "how and why" students' "Uses and Gratification Expectancy" (UGE) for e-learning resources influences their "Perceived e-Learning Experience." A "Uses and Gratification Expectancy Model" (UGEM) framework is proposed to predict students' "Perceived e-Learning Experience," and…
Descriptors: Research Design, Learning Strategies, Learning Experience, Educational Resources
Ratcliff, James L.; And Others – 1992
This handbook presents a process for the assessment of college curricula and student learning in general education and liberal learning. The key concepts of the Coursework Cluster Analysis Model (CCAM) are described and explained. Some of the general guidelines on interpreting the results of CCAM analyses are presented as well as key decisions…
Descriptors: Academic Achievement, Cluster Analysis, Curriculum Development, Educational Improvement