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Kunene, Niki; Toskin, Katarzyna – Information Systems Education Journal, 2022
Logistic regression (LoR) is a foundational supervised machine learning algorithm and yet, unlike linear regression, appears rarely taught early on, where analogy and proximity to linear regression would be an advantage. A random sample of 50 syllabi from undergraduate business statistics courses shows only two percent of the courses included LoR.…
Descriptors: Introductory Courses, Teaching Methods, Probability, Regression (Statistics)
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Arena, Dylan A.; Schwartz, Daniel L. – Journal of Science Education and Technology, 2014
Well-designed digital games can deliver powerful experiences that are difficult to provide through traditional instruction, while traditional instruction can deliver formal explanations that are not a natural fit for gameplay. Combined, they can accomplish more than either can alone. An experiment tested this claim using the topic of statistics,…
Descriptors: Statistics, Video Games, Technology Uses in Education, Teaching Methods
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Guy, G. Michael; Cornick, Jonathan; Holt, Robert J.; Russell, Andrew S. H. – Journal of Developmental Education, 2015
After many years of extremely low success rates, a radical new design of the first semester arithmetic remedial course was implemented and studied. Students at a large urban community college could take a traditional semester-long traditional lecture-based remedial arithmetic course or a new accelerated 4-week 20-hour problem-solving based…
Descriptors: Remedial Mathematics, Developmental Studies Programs, Arithmetic, Problem Solving
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Foley, Gregory D. – AMATYC Review, 2007
Beyond Crossroads is a call to action. Within this call, AMATYC has updated its 1995 Crossroads standards, developed a new set of guiding principles, and created a blueprint for implementing these revised principles and standards. The principles guiding Beyond Crossroads are a significant overhaul of their predecessors and are bold statements that…
Descriptors: Numeracy, Educational Change, Data Analysis, Literacy