과학교육학 학위논문 요약과 종합해설
Variables related to selection of mental representation and problem solving strategy during mechanics problem solving
Problem solving has been viewed as critical to education, including broad nature and specific subject discipline. This study, as a qualitative study, aims to identify variables related to college students' selection of mental representations and problem solving strategies when solving mechanics problem solving in physics.
Four volunteers were used as subjects for this study. They had completed the first quarter course in an introductory-level physics sequence for science and engineering majors at a large midwestern university. The general variables considered include task structures of the mechanics problem, declarative knowledge, procedural knowledge, strategic knowledge, and belief system. Questionnaire of Views on Science and Physics(VSP), Reasoning Level Test(RLT), Computational Skill Test(CST), and Prerequisite Knowledge Test(PKT), were made and used to gather data on the related variables of problem solvers. Eight problems in Mechanics Problem Test(MPT) were selected and modified to span diverse structures of the problem situations. Each subject solved the problem using think-aloud method and then was interviewed individually. A brief learning history, beliefs on science and physics, reasoning skill, computational skill, and misconceptions were described in each case. The problem representation, solving strategy, errors, problem familiarity, confidence, and characteristics of each solver's problem solving process were identified and discussed.
Prerequisite knowledge and skills were important in solving mechanics problem correctly. Errors were identified although solvers had the prerequisites, such as careless attitude, computational mistakes, wrong representation, lack of understanding, and disorganization. The following variables influenced the selection of the problem representation: (1) word(s) in problem sentence; (2) prior experience; (3) mind set; (4) amount of declarative knowledge; and (5) ability to translate. A problem process model was proposed based on the solvers' problem solving process.
Yune Bae Park, Ph. D.
The Ohio State University, 1990
Professor Arthur L. White, Advisor
Variables related to selection of mental representation and problem solving strategy during mechanic.hwp