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Tan, Kim Chwee Daniel; Lim, Xin Ying; Talbot, Christopher David – School Science Review, 2021
Online multiple-choice instruments to diagnose students' understanding of science concepts are easily developed and administered to students using Google Forms. This article describes a web-based three-tier multiple-choice test for the formative assessment of students' understanding of chemical bonding. The results obtained can lead to follow-up…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Science Tests, Scientific Concepts
Uhl, Juli D.; Sripathi, Kamali N.; Meir, Eli; Merrill, John; Urban-Lurain, Mark; Haudek, Kevin C. – CBE - Life Sciences Education, 2021
The focus of biology education has shifted from memorization to conceptual understanding of core biological concepts such as matter and energy relationships. To examine undergraduate learning about matter and energy, we incorporated constructed-response (CR) questions into an interactive computer-based tutorial. The objective of this tutorial is…
Descriptors: Computer Assisted Testing, Writing Evaluation, Science Education, Biology
Sieke, Scott A.; McIntosh, Betsy B.; Steele, Matthew M.; Knight, Jennifer K. – CBE - Life Sciences Education, 2019
Understanding student ideas in large-enrollment biology courses can be challenging, because easy-to-administer multiple-choice questions frequently do not fully capture the diversity of student ideas. As part of the Automated Analysis of Constructed Responses (AACR) project, we designed a question prompting students to describe the possible…
Descriptors: Genetics, Scientific Concepts, Biology, Science Instruction
Lin, Min-Jin; Guo, Chorng-Jee; Hsu, Chia-Er – Online Submission, 2011
This study designed and developed a CP-MCT (content-rich, photo-based multiple choice online test) to assess whether college students can apply the basic light concept to interpret daily light phenomena. One hundred college students volunteered to take the CP-MCT, and the results were statistically analyzed by applying t-test or ANOVA (Analysis of…
Descriptors: College Students, Testing, Multiple Choice Tests, Evaluation Methods

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