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Adkins, Michael; Noyes, Andrew – International Journal of Science and Mathematics Education, 2018
The mathematical preparedness of science undergraduates has been a subject of debate for some time. This paper investigates the relationship between school mathematics attainment and degree outcomes in biology and chemistry across England, a much larger scale of analysis than has hitherto been reported in the literature. A unique dataset which…
Descriptors: Foreign Countries, Mathematics Achievement, Biology, Chemistry
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Harrison, David J.; Saito, Laurel; Markee, Nancy; Herzog, Serge – European Journal of Engineering Education, 2017
To examine the impact of a hybrid-flipped model utilising active learning techniques, the researchers inverted one section of an undergraduate fluid mechanics course, reduced seat time, and engaged in active learning sessions in the classroom. We compared this model to the traditional section on four performance measures. We employed a propensity…
Descriptors: Mechanics (Physics), Science Instruction, Blended Learning, Instructional Effectiveness
Phelan, Julia; Egger, Jeffrey; Kim, Junok; Choi, Kilchan; Keum, Eunhee; Chung, Gregory K. W. K.; Baker, Eva L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2021
The National Math + Science Initiative (NMSI) is a nonprofit organization committed to improving educational outcomes that traces its roots back to the early 1990s. NMSI's College Readiness Program (CRP) is a long-standing program with the goal of promoting STEM education in high schools to improve students' preparation for college. The three-year…
Descriptors: College Readiness, Nonprofit Organizations, Program Evaluation, STEM Education
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Liu, Yan; Zumbo, Bruno D.; Gustafson, Paul; Huang, Yi; Kroc, Edward; Wu, Amery D. – Practical Assessment, Research & Evaluation, 2016
A variety of differential item functioning (DIF) methods have been proposed and used for ensuring that a test is fair to all test takers in a target population in the situations of, for example, a test being translated to other languages. However, once a method flags an item as DIF, it is difficult to conclude that the grouping variable (e.g.,…
Descriptors: Test Items, Test Bias, Probability, Scores
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
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Villafañe, Sachel M.; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2016
Decisions about instruction, research, or policy often require the interpretation of student assessment scores. Increasingly, attitudinal variables are included in an assessment strategy, and it is important to ensure that interpretations of students' attitudinal status are based on instrument scores that apply similarly for diverse students. In…
Descriptors: Scientific Attitudes, Introductory Courses, Chemistry, Attitude Measures