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Prud'homme-Généreux, Annie – Journal of College Science Teaching, 2017
Misconceptions are sometimes called "alternative conceptions" in acknowledgement of the fact that although these concepts are inaccurate, they are congruent with prior experiences. The idea that misconceptions must be addressed to improve learning is helpful to remember when developing a case study. Students will bring their existing…
Descriptors: Case Studies, Misconceptions, Science Instruction, Science Curriculum
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Dick-Perez, Marilu; Luxford, Cynthia J.; Windus, Theresa L.; Holme, Thomas – Journal of Chemical Education, 2016
A 14-item, multiple-choice diagnostic assessment tool, the quantum chemistry concept inventory or QCCI, is presented. Items were developed based on published student misconceptions and content coverage and then piloted and used in advanced physical chemistry undergraduate courses. In addition to the instrument itself, data from both a pretest,…
Descriptors: Chemistry, Science Instruction, Multiple Choice Tests, Undergraduate Students
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Lim, Kien H. – Mathematics Teaching in the Middle School, 2014
Student errors are springboards for analyzing, reasoning, and justifying. The mathematics education community recognizes the value of student errors, noting that "mistakes are seen not as dead ends but rather as potential avenues for learning." To induce specific errors and help students learn, choose tasks that might produce mistakes.…
Descriptors: Secondary School Mathematics, Middle School Students, Error Patterns, Error Correction
Wickett, Maryann; Hendrix-Martin, Eunice – Stenhouse Publishers, 2011
Multiple-choice testing is an educational reality. Rather than complain about the negative impact these tests may have on teaching and learning, why not use them to better understand your students' true mathematical knowledge and comprehension? Maryann Wickett and Eunice Hendrix-Martin show teachers how to move beyond the student's answer--right…
Descriptors: Mathematics Education, Multiple Choice Tests, Grade 2, Grade 3
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Wise, Steven L.; DeMars, Christine E. – Applied Psychological Measurement, 2009
Attali (2005) recently demonstrated that Cronbach's coefficient [alpha] estimate of reliability for number-right multiple-choice tests will tend to be deflated by speededness, rather than inflated as is commonly believed and taught. Although the methods, findings, and conclusions of Attali (2005) are correct, his article may inadvertently invite a…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Reliability, Computation
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Bertrand, Peggy – Physics Teacher, 2009
Participation in rigorous high school courses such as Advanced Placement (AP[R]) Physics increases the likelihood of college success, especially for students who are traditionally underserved. Tackling difficult multiple-choice exams should be part of any AP program because well-constructed multiple-choice questions, such as those on AP exams and…
Descriptors: Physics, Advanced Placement Programs, Student Participation, Academic Achievement
Sie Hoe, Lau; Ngee Kiong, Lau; Kian Sam, Hong; Bin Usop, Hasbee – Online Submission, 2009
Assessment is central to any educational process. Number Right (NR) scoring method is a conventional scoring method for multiple choice items, where students need to pick one option as the correct answer. One point is awarded for the correct response and zero for any other responses. However, it has been heavily criticized for guessing and failure…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Adaptive Testing, Scoring
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Korner, Christof – Learning and Instruction, 2005
Hierarchical graphs represent relationships between objects (like computer file systems, family trees etc.). Graph nodes represent the objects and interconnecting lines represent the relationships. In two experiments we investigated what concepts are necessary for understanding hierarchical graphs, what misconceptions evolve when some of the…
Descriptors: Prior Learning, Misconceptions, Graphs, Concept Formation