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Harpreet Auby; Namrata Shivagunde; Vijeta Deshpande; Anna Rumshisky; Milo D. Koretsky – Journal of Engineering Education, 2025
Background: Analyzing student short-answer written justifications to conceptually challenging questions has proven helpful to understand student thinking and improve conceptual understanding. However, qualitative analyses are limited by the burden of analyzing large amounts of text. Purpose: We apply dense and sparse Large Language Models (LLMs)…
Descriptors: Student Evaluation, Thinking Skills, Test Format, Cognitive Processes
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Gehringer, Edward F.; Peddycord, Barry W., III – Journal of Instructional Research, 2013
As homework and other aspects of education migrate to a computer-based format, on-paper exams are beginning to seem like an anachronism. Online delivery is attractive, but comes with a myriad of implications not apparent at first glance. It affects the kinds of questions that can be asked and complicates administration of the exam, but it may make…
Descriptors: Computer Assisted Testing, Online Surveys, Teacher Attitudes, Student Attitudes
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Schroeder, Carolyn M.; Scott, Timothy P.; Tolson, Homer; Huang, Tse-Yang; Lee, Yi-Hsuan – Journal of Research in Science Teaching, 2007
This project consisted of a meta-analysis of U.S. research published from 1980 to 2004 on the effect of specific science teaching strategies on student achievement. The six phases of the project included study acquisition, study coding, determination of intercoder objectivity, establishing criteria for inclusion of studies, computation of effect…
Descriptors: Test Format, Test Content, Academic Achievement, Meta Analysis
Dwyer, Francis M.; Moore, David M. – 1995
The purpose of this study was to examine the effect that coding (black and white, and color) and testing mode (visual/verbal) has on the achievement of students categorized as field independent (FID)/field dependent (FD) learners. One hundred eighty-three students enrolled in basic college level educational psychology courses were classified as…
Descriptors: Coding, Cognitive Style, College Students, Color