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Fadillah, Sarah Meilani; Ha, Minsu; Nuraeni, Eni; Indriyanti, Nurma Yunita – Malaysian Journal of Learning and Instruction, 2023
Purpose: Researchers discovered that when students were given the opportunity to change their answers, a majority changed their responses from incorrect to correct, and this change often increased the overall test results. What prompts students to modify their answers? This study aims to examine the modification of scientific reasoning test, with…
Descriptors: Science Tests, Multiple Choice Tests, Test Items, Decision Making
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Chen, Qingwei; Zhu, Guangtian; Liu, Qiaoyi; Han, Jing; Fu, Zhao; Bao, Lei – Physical Review Physics Education Research, 2020
Problem-solving categorization tasks have been well studied and used as an effective tool for assessment of student knowledge structure. In this study, a traditional free-response categorization test has been modified into a multiple-choice format, and the effectiveness of this new assessment is evaluated. Through randomized testing with Chinese…
Descriptors: Foreign Countries, Test Construction, Multiple Choice Tests, Problem Solving
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Açikgül Firat, Esra; Köksal, Mustafa S. – Biochemistry and Molecular Biology Education, 2019
In this study, a 'biotechnology literacy test' was developed to determine the biotechnology literacy of prospective science teachers, and its validity and reliability were determined. For this purpose, 42 items were prepared by considering Bybee's scientific literacy classifications (nominal, functional, procedural, and multidimensional). The…
Descriptors: Test Construction, Multiple Choice Tests, Science Teachers, Preservice Teachers
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Briggs, Derek C.; Circi, Ruhan – International Journal of Testing, 2017
Artificial Neural Networks (ANNs) have been proposed as a promising approach for the classification of students into different levels of a psychological attribute hierarchy. Unfortunately, because such classifications typically rely upon internally produced item response patterns that have not been externally validated, the instability of ANN…
Descriptors: Artificial Intelligence, Classification, Student Evaluation, Tests
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Kim, Kerry J.; Meir, Eli; Pope, Denise S.; Wendel, Daniel – Journal of Educational Data Mining, 2017
Computerized classification of student answers offers the possibility of instant feedback and improved learning. Open response (OR) questions provide greater insight into student thinking and understanding than more constrained multiple choice (MC) questions, but development of automated classifiers is more difficult, often requiring training a…
Descriptors: Classification, Computer Assisted Testing, Multiple Choice Tests, Test Format
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So, Wing-Mui Winnie; Cheng, Nga-Yee Irene; Chow, Cheuk-Fai; Zhan, Ying – Education 3-13, 2016
This study aims to examine the impacts of the inquiry learning strategies employed in a "Plastic Education Project" on primary students' knowledge, beliefs and intended behaviour in Hong Kong. Student questionnaires and a test on plastic types were adopted for data collection. Results reveal that the inquiry learning strategies…
Descriptors: Plastics, Wastes, Inquiry, Learning Strategies
Töman, Ögr. Gör. Ufuk; Ergen, Yusuf – Online Submission, 2014
Today's World is in period of rapid development of science and technology. There is science and technology education that not based on rote, practical on the basis of development in science and technology. Misconceptions are a major obstacle in order to take the desired efficiency. Because concepts that learned wrong obstacle attainment of right…
Descriptors: Foreign Countries, Science Education, Astronomy, Scientific Attitudes
Dressel, Paul L.; Nelson, Clarence H. – 1956
This folio of test items, contributed by a number of colleges and universities from their course, placement, entrance, or other institutional examinations, was compiled to aid teachers in constructing tests. Only those science courses offered in the first two years of college are represented by the scope of the items. The test items may also serve…
Descriptors: Biological Sciences, Biology, Chemistry, Classification