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Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
Wooten, Kate; Rayfield, John; Moore, Lori L. – Journal of Agricultural Education, 2013
Science, technology, engineering, and mathematics (STEM) education is intended to provide students with a cross-subject, contextual learning experience. To more fully prepare our nation's students to enter the globally competitive workforce, STEM integration allows students to make connections between the abstract concepts learned in core subject…
Descriptors: STEM Education, Scientific Concepts, Delphi Technique, Science Projects
Wilson, Zach; Howley, Craig – Appalachian Collaborative Center for Learning, Assessment, and Instruction in Mathematics (ACCLAIM), 2012
"Going Further" presents a roadmap to the works of the ACCLAIM (Appalachian Collaborative Center for Learning, Assessment, and Instruction in Mathematics) Research Initiative, the research effort of one the Centers for Learning and Teaching (CLTs) created with a grant (2001-2005) from the National Science Foundation. The Center began…
Descriptors: Research Projects, Doctoral Programs, Rural Education, Science Course Improvement Projects

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