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The purpose of this study was to describe the problem-solving behaviors of experts and novices engaged in solving seven chemical equilibrium problems. Thirteen novices (five high-school students, five undergraduate majors, and three nonmajors) and ten experts (six doctoral students and four faculty members) were videotaped as they individually solved standard chemical equilibrium problems. The nature of the problems was such that they required more than mere recall or algorithmic learning and yet simple enough to provide the novices a reasonable chance of solving them. Extensive analysis of the think-aloud protocols produced 27 behavioral tendencies that can be used to describe and differentiate between successful and unsuccessful problem solvers. Successful solvers' perceptions of the problem were characterized by careful analysis and reasoning of the task, use of related principles and concepts to justify their answers, frequent checks of the consistency of answers and reasons, and better quality of procedural and strategic knowledge. Unsuccessful subjects had many knowledge gaps and misconceptions about the nature of chemical equilibrium. Even faculty experts were sometimes unable to correctly apply common chemical principles during the problem-solving process. Important theoretical concepts such as molar enthalpy, heat of reaction, free energy of formation, and free energy of reaction were rarely used by novices in explaining problems. 相似文献
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This study compared the problem-solving performance of university genetics professors and genetics students, and therefore fits the expert versus novice paradigm. The subjects solved three genetic pedigree problems. Data were gathered using standard think-aloud protocol procedures. Although the experts did not differ from the novices in terms of the number of correct solutions obtained, there were significant differences favoring the experts in terms of the completeness and conclusiveness of the solutions. The experts identified more critical cues in the pedigrees which were used to generate and test hypotheses, they tested more hypotheses by assigning genotypes to individuals in the pedigrees, and were more rigorous than the novices in the falsification of alternative hypotheses. The experts varied their problem-solving strategy to suit the particular conditions of problems involving rare or common traits. Novices did nor recognize the need to make such modifications to their strategies. 相似文献
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Mike U. Smith 《科学教学研究杂志》1992,29(2):179-205
Chi, Feltovich, and Glaser (1981) observed that experts (physics faculty) organized problems into groups according to the underlying physics law or principle applicable, whereas the groupings of novice physics students focused on objects, literal physics terms, and physical configurations in the problems. Replication of these findings in a number of similar studies has led to the general acceptance of the proposition that the mental schemes used by experts to organize information within a content domain are organized according to the “deep structure” of the domain, whereas the schemes of novices are bound by “surface” dimensions. Categorizations of genetics problems produced by genetics counselor and faculty experts in comparison to student novices obtained in the present study, however, are inconsistent with a deep structure/surface structure dichotomy. As expected, faculty experts focused almost exclusively on conceptual principles, but student sorts focused primarily on problem knowns and unknowns. The expert counselor sortings unexpectedly resembled those of the students in this regard. Counselors also emphasized solution techniques to be used, whereas students emphasized the verbatim wording of the problem statement. These findings are consistent with the hypothesis that as expertise is attained, a person restructures his/her knowledge of the domain into a framework that is based on critical dimensions that facilitate the daily use of that knowledge. Implications for theoreticians, researchers, and teachers are drawn. Whenever possible, future studies of expertise should include noneducator experts; teachers should help students develop the ability to construct and reconstruct the organizational frameworks of their knowledge so as to facilitate the effective use of that knowledge in the face of change. 相似文献
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Students in complex visual domains must acquire visual problem solving strategies that allow them to make fast decisions and come up with good solutions to real-time problems. In this study, 31 air traffic controllers at different levels of expertise (novice, intermediate, expert) were confronted with 9 problem situations depicted on a radar screen. Participants were asked to provide the optimal order of arrival of all depicted aircrafts. Eye-movements, time-on-task, perceived mental effort, and task performance were recorded. Eye-tracking data revealed that novices use inefficient means-end visual problem solving strategies in which they primarily focus on the destination of aircraft. Higher levels of expertise yield visual problem solving strategies characterized by more efficient retrieval of relevant information and more efficient scan paths. Furthermore, experts' solutions were more similar than intermediates' solutions and intermediates' solutions were more similar than novices' solutions. Performance measures showed that experts and intermediates reached better solutions than novices, and that experts were faster and invested less mental effort than intermediates and novices. These findings may help creating eye-movement modeling examples for the teaching of visual problem solving strategies in complex visual domains. 相似文献
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Peggy A. Ertmer Donald A. Stepich Sara Flanagan Aslihan Kocaman‐Karoglu Christian Reiner Lisette Reyes Adam L. Santone Shigetake Ushigusa 《Performance Improvement Quarterly》2009,21(4):117-132
This exploratory study examined differences in the problem representations of a case‐based situation by expert and novice instructional designers. The experts and half of the novices (control group) received identical directions for case analysis, while the other novices (treatment group) received additional guidelines recommending analysis strategies that experts tend to use. After participants' case analyses were scored on four dimensions of problem representation, a Wilcoxon nonparametric test was performed. Significant differences were noted between experts and control novices on the total score and on two dimensions of problem representation. Treatment novices did not differ significantly from experts, while control and treatment novices differed significantly on one dimension. Implications for future research and practice are discussed. 相似文献
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Andreas Rausch Thomas Schley Julia Warwas 《International Journal of Lifelong Education》2015,34(4):448-467
Contemporary office work is becoming increasingly challenging as many routine tasks are automated or outsourced. The remaining problem solving activities may also offer potential for lifelong learning in the workplace. In this study, we analyzed problem solving in an office work setting using an Internet-based, semi-standardized diary to collect data close to the process. Thirteen employees in commercial departments of an automotive supplier participated voluntarily; they recorded 64 domain-specific problem cases in total. Typical problems were moderately complex but rather urgent. They were detected by means of monitoring, augmented feedback or feedback from others. The problems detected provoked states of high arousal, including both negative and positive emotions. We found that seeking support from others was the most common approach to problem solving, and that in general problem solving offered considerable learning possibilities. Experts were confronted with more complex problems than novices, they more often solved problems using their domain-specific knowledge, but they also preferred social support. Surprisingly, experts reported higher negative emotional states after having detected a problem than novices. The results, the diary method and the limitations of the study are discussed. 相似文献
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Umesh Dewnarain Ramnarain Sam Ramaila 《International Journal of Science and Mathematics Education》2016,14(1):81-99
This paper is concerned with organizational principles of a pool of familiar problems of expert problem posers and the ways by which they are utilized for creating new problems. The presented case of Leo is part of a multiple-case study with expert problem posers for mathematics competitions. We present and inductively analyze the data collected in a reflective interview and in a clinical task-based interview with Leo. In the first interview, Leo was asked to share with us the stories behind some problems posed by him in the past. In the second interview, he was asked to pose a new competition problem in a thinking-aloud mode. We found that Leo’s pool of familiar problems is organized in classes according to certain nesting ideas. Furthermore, these nesting ideas serve him in posing problems that, ideally, are perceived by Leo as novel and surprising not only to potential solvers, but also to himself. Because of the lack of empirical research on experts in mathematical problem posing, the findings are discussed in light of research on experts in problem solving and on novices in mathematical problem posing. 相似文献
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This study examined ways in which expert and novice teachers mentally represent classroom problems in matters of instruction, assessment, and curriculum planning. A triad judgement task was administered to expert teachers (n=20) and novice teachers (n=98) to determine whether deep, structural features (i.e. the theoretical underpinnings associated with the problem) and/or surface features (narrative characteristics of the problem including grade level and subject) were used to interpret and represent a problem situation presented in a classroom context. Findings were consistent with results from previous studies examining problem representation among experts and novices in other domains. That is, the experts in this study primarily relied on the deep features to form a mental representation of a problem situation whereas the novices tended to rely on surface structures to do so. However, findings also revealed that novice teachers relied on the deep, structural features of the problem under certain conditions. 相似文献
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Ying-Shao Hsu Li-Fen Lin Hsin-Kai Wu Dai-Ying Lee Fu-Kwun Hwang 《Journal of Science Education and Technology》2012,21(5):588-606
This study compared modeling skills and knowledge structures of four groups as seen in their understanding of air quality. The four groups were: experts (atmospheric scientists), intermediates (upper-level graduate students in a different field), advanced novices (talented 11th and 12th graders), and novices (10th graders). It was found that when the levels of modeling skills were measured, for most skills there was a gradual increase across the spectrum from the novices to the advanced novices to the intermediates to the experts. The study found the experts used model-based reasoning, the intermediates and advanced novices used relation-based reasoning, and the novices used phenomena-based reasoning to anticipate conclusions. The experts and intermediates used more bi-variable relationships in experimental design and anticipated conclusions, but used more multiple-variable relationships in identifying relationships. By contrast, the advanced novices and novices mostly used bi-variable relationships in all modeling skills. Based on these findings, we suggest design principles for model-based teaching and learning such as designing learning activities to encourage model-based reasoning, scaffolding one??s modeling with multiple representations, testing models in authentic situations, and nurturing domain-specific knowledge during modeling. 相似文献
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Pei-Luen Patrick Rau Anping Xie Ziyang Li Cuiling Chen 《International Journal of Science and Mathematics Education》2016,14(8):1499-1516
Based on the literature review about abacus arithmetic, this study proposes a model of the cognitive process of Chinese abacus arithmetic. This model describes three methods for solving abacus arithmetic problems: retrieval method, procedure method, and mental arithmetic method and three external factors that affect the choice of those methods: level of expertise, level of difficulty, and type of operation. The experiment in the study invited 36 participants including 12 vocational high-school students as junior experts, 12 ordinary high-school students as novices, and 12 bank clerks as senior experts to validate the 3 × 3 × 2 experiment. The results of this study indicate that (1) the retrieval method, procedure method, and mental arithmetic method are the three main calculation methods of abacus arithmetic, each of them having some variations; (2) experts tend to use the retrieval method, while novices tend to use the mental arithmetic method; (3) the retrieval method and mental arithmetic method are applied more for simple operations and addition problems, while the procedure method is applied more for complicated operations and subtraction problems. 相似文献
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Pedagogical content knowledge of experts and novices—what knowledge do they activate when analyzing science lessons? 
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下载免费PDF全文 In the current debate on pedagogical content knowledge (PCK), the term is used to refer to the context‐specific knowledge that teachers activate when reflecting on practice. Against the background of this debate, we conducted an empirical study and sought to answer the question of which knowledge experts and novices activated in assessing a videotaped lesson in relation to its effectiveness for learning. Our assumption was that the participants activate their PCK as a blending of content knowledge (CK) and pedagogical knowledge (PK) as suggested by Shulman's amalgam thesis. The participants (9 experts and 9 novices) were shown a lesson on optics, in which the law of refraction (Snell's law) was being studied. In a subsequent interview, the participants were asked to analyze the observed lesson. A qualitative and quantitative evaluation of the interviews showed that experts activated both CK and PK intensively and in this respect they differed significantly from novices. Further analysis of the expert statements also proved that they do not activate their CK and PK in isolation, but instead combine both kinds of knowledge together, in line with Shulman's amalgam thesis. © 2017 Wiley Periodicals, Inc. J Res Sci Teach 55: 44–67, 2018 相似文献
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Steve Masson Patrice Potvin Martin Riopel Lorie‐Marlène Brault Foisy 《Mind, Brain, and Education》2014,8(1):44-55
Science education studies have revealed that students often have misconceptions about how nature works, but what happens to misconceptions after a conceptual change remains poorly understood. Are misconceptions rejected and replaced by scientific conceptions, or are they still present in students' minds, coexisting with newly acquired scientific conceptions? In this study, we use functional magnetic resonance imaging (fMRI) to compare brain activation between novices and experts in science when they evaluate the correctness of simple electric circuits. Results show that experts, more than novices, activate brain areas involved in inhibition when they evaluate electric circuits in which a bulb lights up, even though there is only one wire connecting it to the battery. These findings suggest that experts may still have a misconception encoded in the neural networks of their brains that must be inhibited in order to answer scientifically. 相似文献
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Fredrik Jeppsson Jesper Haglund Tamer G. Amin 《International Journal of Science Education》2015,37(5-6):780-805
Many studies have previously focused on how people with different levels of expertise solve physics problems. In early work, focus was on characterising differences between experts and novices and a key finding was the central role that propositionally expressed principles and laws play in expert, but not novice, problem-solving. A more recent line of research has focused on characterising continuity between experts and novices at the level of non-propositional knowledge structures and processes such as image-schemas, imagistic simulation and analogical reasoning. This study contributes to an emerging literature addressing the coordination of both propositional and non-propositional knowledge structures and processes in the development of expertise. Specifically, in this paper, we compare problem-solving across two levels of expertise—undergraduate students of chemistry and Ph.D. students in physical chemistry—identifying differences in how conceptual metaphors (CMs) are used (or not) to coordinate propositional and non-propositional knowledge structures in the context of solving problems on entropy. It is hypothesised that the acquisition of expertise involves learning to coordinate the use of CMs to interpret propositional (linguistic and mathematical) knowledge and apply it to specific problem situations. Moreover, we suggest that with increasing expertise, the use of CMs involves a greater degree of subjective engagement with physical entities and processes. Implications for research on learning and instructional practice are discussed. 相似文献
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Second- and fourth-grade children were classified according to their knowledge of soccer (experts vs. novices) and IQ (high vs. low), and given 2 sort-recall tasks. One task included items related to the game of soccer and the other included items from familiar natural language categories. Previous research has shown that expertise in a subject can compensate for low levels of performance on text comprehension tasks. Our results, the first examining the effects of both expertise and intelligence on a strategic memory task, were that soccer expert children recalled more items on the soccer list but not on the nonsoccer list than soccer novice children. However, soccer expertise did not modify a significant effect of IQ level, with high-IQ children recalling more than low-IQ children for all contrasts. Interest in soccer was found to be related to expertise but did not contribute to differences in memory performance. The results demonstrate that the knowledge base plays an important role in children's memory, but that domain knowledge cannot fully eliminate the effects of IQ on sort-recall tasks using domain-related materials. That is, although rich domain knowledge seemed to compensate for low aptitude, in that low-aptitude experts performed at the level of high-aptitude novices, its effects were not strong enough to eliminate performance differences between high- and low-aptitude soccer experts. 相似文献
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教师专业视觉是教师在课堂上注意和解释重要现象和关键交互的能力。基于眼动数据的收集与分析,对于教师专业性的研究具有低推断性、高客观性,也可以发现一些习以为常或者不易发现的问题。基于真实教学情境,收集了3位新手和3位专家教师课堂教学的眼动数据。研究发现,专家教师比新手教师对学生的“注意”更具效率。教师对于学生的注视分布都不是太平均,教室桌椅排列的位置影响教师的注意分布,专家教师对于综合成绩较差的学生关注度更高。专家教师对学生的课堂练习状况关注更为普遍。对于新手教师的专业发展提供了一些启示。 相似文献
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Changes in the relation between cognitive and metacognitive skills during the acquisition of expertise 总被引：2，自引：0，他引：2
Marcel Veenman Jan J. Elshout 《European Journal of Psychology of Education - EJPE》1999,14(4):509-523
This paper focuses on the transformation of general metacognitive skills of novices into domain-specific regulatory procedures of experts, and the relation of those skills to intelligence. Research has shown that the general metacognitive skills of novices, although partly correlated to intelligence, additionally contribute to learning outcome on top of intelligence. The metacognitive skills of experts appear to be domainspecific and unrelated to intelligence. Two experiments were conducted. The objective of the first experiment was to confirm and generalize these earlier results concerning the relation of intellectual ability, metacognitive skillfulness and learning of novices vs. advanced subjects. The objective of the second experiment was to investigate this relation under different conditions of task complexity. It was hypothesized that advanced subjects would regress to more novice-like behavior under very complex learning conditions (i.e., general metacognitive skills and intelligence would re-appear as combined predictors of learning outcome). On the other hand, low intelligent novices, irrespective of their metacognitive skillfulnes, were expected to fail on very complex problems. Results partly confirmed these hypotheses. Implications for the conditions under which metacognitive experiences should be implemented, are being discussed. 相似文献