Modeling Theory in Science Education. Ibrahim A. Halloun. . 2006I. A. Halloun, Modeling theory in science education, Netherlands: Kluwer Academic Publishers, 2004. 11. N. Chonacky and D. Winch, "Integrating comutation into the undergraduate curriculum: A vision and guidelines for future ...
Modeling Theory in Science Education 作者:Ibrahim A·Halloun 页数:268 ISBN:9781402021398 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Modeling Theory in Science Education的书评 ···(全部 0 条) rachel 4月13日 想读 >1人想读...
The idea of behavior modeling has its roots in social learning theory. This theory holds that children learn through observation.
Finally, I believe in respecting my students’ time – and I want to teach you what you need to know to successfully utilize these modelswithout bogging you down in unnecessary details or theory. That’s why the visual modeling techniques taught in this course are taught withno fluff added....
Academic leadership in higher education: Using generalizability theory and structural equation modeling approaches to examine academic leadership effectiveness and behavioral complexity in a Canadian college from a faculty perspectiveAcademic leadership in higher education: Using generalizability theory and structura...
He debunks the "long slow rot theory" of aging, and instead presents evidence about how our brains remain pliant and capable of growth well into later years, and allows us to acquire new skills and adapt to challenges, provided we continue to engage in active learning. Tech & Learning ...
EFH-Soar: Modeling Education in Highly Interactive Microworlds The goal of our work is to produce a process model account of education in microworlds based on Soar, a theory of cognition and learning. In the context of a microworld that supports the exploration of qualitative electrostatics, we ...
Tim is the Chair of the Board of CFI Education with an extensive background in entrepreneurship, financial analysis, and investment banking. Scott Powell Scott is the Co-Founder and Chief Content Officer of CFI. Over the past 30 years, he has focused on designing and delivering learning so...
Neural activity exhibits complex dynamics related to various brain functions, internal states and behaviors. Understanding how neural dynamics explain specific measured behaviors requires dissociating behaviorally relevant and irrelevant dynamics, which
Mayo, M., Mitrovic, A.: Optimizing ITS Behavior with Bayesian Networks and Decision Theory. International Journal of Artificial Intelligence in Education 12, 124–153 (2001) Google Scholar Mislevy, R.J., Gitomer, D.H.: The role of probability-based inference in an intelligent tutoring system...