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Stehle, Stephanie M. – ProQuest LLC, 2022
Students come to their high school physics classroom with experiences and knowledge that can be used to help explain physics concepts, but those experiences may not fully align with the scientifically accepted science concept. When there is a misalignment between a student's prior knowledge and the scientifically accepted concept a misconception…
Descriptors: High School Students, Physics, Metacognition, Problem Solving
Reinhart, Alex; Evans, Ciaran; Luby, Amanda; Orellana, Josue; Meyer, Mikaela; Wieczorek, Jerzy; Elliott, Peter; Burckhardt, Philipp; Nugent, Rebecca – Journal of Statistics and Data Science Education, 2022
Think-aloud interviews have been a valuable but underused tool in statistics education research. Think-alouds, in which students narrate their reasoning in real time while solving problems, differ in important ways from other types of cognitive interviews and related education research methods. Beyond the uses already found in the statistics…
Descriptors: Protocol Analysis, Statistics Education, Mathematical Logic, Thinking Skills
I, Ji Yeong; Martinez, Ricardo; Dougherty, Barbara – Investigations in Mathematics Learning, 2020
This study focuses on proportional division, a specific problem type of proportions and proportional relationships, which embeds a part-part-whole relationship. We investigated how students in grades 6 to 9 solved and perceived three proportional division problems. Analysis of the students' performance on the tasks revealed three types of…
Descriptors: Division, Mathematics Instruction, Problem Solving, Misconceptions
Burns-Childers, Annie; Vidakovic, Draga – International Journal of Mathematical Education in Science and Technology, 2018
The purpose of this study was to gain insight into 30, first year calculus students' understanding of the relationship between the concept of vertex of a quadratic function and the concept of the derivative. APOS (action-process-object-schema) theory was applied as a guiding framework of analysis on student written work, think-aloud and follow up…
Descriptors: Calculus, Mathematics Instruction, Mathematical Concepts, Protocol Analysis
Herman, Geoffrey L.; Loui, Michael C.; Kaczmarczyk, Lisa; Zilles, Craig – ACM Transactions on Computing Education, 2012
The ability to reason with formal logic is a foundational skill for computer scientists and computer engineers that scaffolds the abilities to design, debug, and optimize. By interviewing students about their understanding of propositional logic and their ability to translate from English specifications to Boolean expressions, we characterized…
Descriptors: Interviews, Logical Thinking, Computer Science, Scientists
Cheung, Derek – Chemistry Education Research and Practice, 2009
Secondary school chemistry teachers' understanding of chemical equilibrium was investigated through interviews using the think-aloud technique. The interviews were conducted with twelve volunteer chemistry teachers in Hong Kong. Their teaching experience ranged from 3 to 18 years. They were asked to predict what would happen to the equilibrium…
Descriptors: Protocol Analysis, Chemistry, Problem Solving, Foreign Countries
Rappoport, Lana T.; Ashkenazi, Guy – International Journal of Science Education, 2008
Chemical phenomena can be described using three representation modes: macro, submicro, and symbolic. The way students use and connect these modes when solving conceptual problems was studied, using a think-aloud interview protocol. The protocol was validated through interviews with six faculty members, and then applied to four graduate and six…
Descriptors: Protocol Analysis, Familiarity, Chemistry, Misconceptions
Becker, Lee A. – Programmed Learning and Educational Technology, 1988
Explores how a set of possible student misconceptions about solving a complex problem can be used in computer-based intelligent tutoring systems and in computer-based exercise and test generation. Topics discussed include expert systems, misconception covers, discrimination trees, methods of acquiring the set of misconceptions, and protocol…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Concept Formation, Expert Systems

Woods, Donald R. – Journal of College Science Teaching, 1988
Explains the differences between successful and unsuccessful problem solvers' exploration of a problem, translation of information into different forms, approach to devising and executing a plan, and rechecking work. (RT)
Descriptors: Cognitive Development, College Science, Concept Formation, Critical Thinking

Muth, K. Denise – Contemporary Educational Psychology, 1992
To determine how middle school students cope with the demands of arithmetic word problems, 140 eighth graders (67 males and 73 females) had to solve problems modeled after those of the National Assessment of Educational Progress. Extraneous information and extra steps reduce the accuracy of students' word problem solutions. (SLD)
Descriptors: Arithmetic, Grade 8, Junior High School Students, Junior High Schools