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1.
Researchers have shown that experts and novices differ in their recall, representation, and analyses of problem situations. This study investigated whether such differences existed between novice and experienced high school teachers in their recall and analyses of problem events during interactive teaching. Experienced and inexperienced teachers (n = 10 in each group) completed cognitive ability tests and were interviewed after viewing three videotaped vignettes of interactive teaching. In contrast to novices, experienced teachers both recalled more classroom events and relied more on procedural knowledge and principles in analyzing classroom events. These differences may indicate that experienced teachers have better developed knowledge structures of “schemata” for classroom teaching than do novice teachers. 相似文献
2.
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
3.
Gunnar Friege Gunter Lind 《International Journal of Science and Mathematics Education》2006,4(3):437-465
Based on empirical findings and theoretical considerations related to the field of expertise research, the importance of “types”
and “qualities” of knowledge in relation to problem solving in physics was investigated. The students (N =138) in this study had a level of competence that corresponds to an intensive beginner college course in physics. It was
found that conceptual declarative knowledge and problem scheme knowledge are excellent predictors of problem solving performance.
However, a detailed analysis shows that the first knowledge type is more typical for low achievers (novices) in physics problem
solving whereas the second type is predominately used by high achievers (experts). Regarding types and qualities of knowledge
and their relations to problem solving, the results of a multidimensional scaling analysis (MDS) indicate that two dimensions
of knowledge can be distinguished. On the extreme limits of the first dimension, which could be named “problem solving relevance
vs. structure of discipline”, are the types of knowledge and the qualities of knowledge, respectively. The second dimension
of knowledge could be named “single knowledge elements vs. organised knowledge units”. There are types of knowledge as well
as qualities of knowledge distributed along this dimension. Consequences of these results for improving physics education
are discussed. 相似文献
4.
Previous studies examining expertise have used a wide range of methods. Beyond characterizing expert and novice behavior in different contexts and circumstances, many studies have examined the processes that comprise the behavior itself and, more recently, processes that comprise training and practice that develop expertise. Other studies, dating back more than 50 years, have used various recall memory tasks to compare experts and novices. In this article, we describe another method for investigating expertise that has its origin in the study of change blindness, a phenomenon within the field of visual cognition. We demonstrate how an incidental change detection paradigm can be used in the context of introductory physics in a way that allows for inferences regarding the formation of mental representations about physical situations. Possible uses in future learning sciences research are discussed. 相似文献
5.
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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7.
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
8.
This study investigates the extent to which differences in the problem-solving performance of stronger and weaker novices in physics arise from: (a) differences in amount of domain knowledge, (b) differences in how domain knowledge is organized, and (c) differences in the strategic application of domain knowledge. Ten first-year university physics students attempted to solve one easy and one difficult problem involving Newton's second law. Clear differences in the protocols of stronger and weaker students for the difficult problem, combined with successful performance by all students on the easy problem, were interpreted as evidence for differences in the organization of relevant knowledge held by more versus less successful first-year physics students. Some differences in procedural knowledge were also observed, but all students used the working forward strategy that had been presented to them in lectures. 相似文献
9.
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
10.
《Learning and Instruction》2000,10(2):113-136
This study examines the acquisition of expertise in designing and developing information systems. The aim was to investigate how practical experience is related to contextual and strategic knowledge in problem-solving. Using a combination of expert–novice comparisons and longitudinal methods, professional systems analysts were compared with novices at the beginning and end of a seven month project-based course. The results show that during the course, the novices acquired a good deal of strategic competence in using domain-specific methods. Compared to the novices, the experts showed a more comprehensive and higher level of awareness of clients' contextual constraints. The study demonstrated qualitative variation in the subjects' solutions to design problems. Five distinct solution patterns were found; these appeared to originate mainly from the settings of the subjects' practical work. 相似文献
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Christian Harteis Barbara Morgenthaler Christine Kugler Karl-Peter Ittner Gabriel Roth Bernhard Graf 《Vocations and Learning》2012,5(2):119-136
Intuition presents as a crucial component of professional competence for many occupations, including emergency physicians because many of their decisions have to be made quickly. When arriving at the scene of an accident, they promptly have to assess the circumstances and initiate immediate life-saving measures without opportunities for deep analyses of patients’ conditions. Therefore, spontaneous and intuitive decisions are required to solve the problem appropriately, rather than more intentional and time-consuming forms of decision-making. Yet, the efficacy of and processes underpinning these intuitive activities remain far from fully understood or clearly conceptualised. The study reported here aims at revealing the efficacy of such intuition by analysing decision-making behaviour of emergency physicians. Based on patient simulation mannequins, which can be programmed to present specified clinical situations, three groups of participants with different levels of emergency medicine expertise (n 1 = 10 novices, n 2 = 10 semi-experts, n 3 = 10 experts) each addressed two different authentic problem cases. In the first simulation, time pressure was utilised to press participants to decide intuitively. In the second simulation, the participants had to legitimise their decisions without any time pressure in order to generate rational decisions. Whereas no clear difference in the participants’ performances between both cases could be identified, experts and semi-experts performed better than novices in their intuitive decision-making, thereby supporting beliefs about the efficacy of intuition. It is proposed that medical education, as well as other forms of occupational preparation, should consider theories of mental simulations in order to improve surgeons’ professional education. 相似文献
13.
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
14.
The purpose of this study was to compare in-service and preservice earth and space science teachers on their general mental abilities, their content knowledge or declarative knowledge of earth and space sciences, the Gagnean levels of their content knowledge or declarative knowledge, and the procedural knowledge used in solving earth and space science problems. This study used a contrast-group design to compare in-service (n = 30) and preservice (n = 30) earth and space science teachers. The in-service earth science teachers (a) bring more declarative knowledge to the problem-solving situation, (b) use fewer steps while problem solving, (c) generate more subroutines and alternate hypotheses, and (d) possess different structural knowledge than do preservice earth science teachers. Findings from this study support Norman's theory of learning that experts (in-service teachers) function at the tuning mode of learning, whereas novices (preservice teachers) function in an accreting or structuring mode. In-service earth science teachers exhibited smoothness, automaticity, and decreased mental effort not exhibited by preservice earth and space science teachers. 相似文献
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16.
A characteristic feature of scientific knowledge is the high degree of coherence and connectedness of its conceptual structure.
This notion is also behind the widely accepted instructional method of representing the concepts as networks. We suggest here
that notions of explanatory coherence and deductive coherence naturally connect the structure of knowledge to the processes
which are important in constructing the concept networks. Of these processes, experimental method and modelling are shown
to be closely connected with explanatory and deductive coherence, respectively. From this viewpoint, we compare here how experts
and novices represent their physics knowledge in the form of concept networks, and show that significant differences between
experts’ and novices’ quality of knowledge become directly reflected in the structure of the networks. The results also show
how concept networks make visible both the structure of knowledge and the methodological procedures, which support its formation. 相似文献
17.
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
18.
Yvonne G. Mulder Ard W. Lazonder Ton de Jong 《International Journal of Science Education》2013,35(15):2033-2053
Inquiry learning environments increasingly incorporate modelling facilities for students to articulate their research hypotheses and (acquired) domain knowledge. This study compared performance success and scientific reasoning of university students with high prior knowledge (n = 11), students from senior high‐school (n = 10), and junior high‐school (n = 10) with intermediate and low prior knowledge, respectively, in order to reveal domain novices’ need for support in such environments. Results indicated that the scientific reasoning of both groups of high‐school students was comparable to that of the experts. As high‐school students achieved significantly lower performance success scores, their expert‐like behaviour was rather ineffective; qualitative analyses substantiated this conclusion. Based on these findings, implications for supporting domain novices in inquiry learning environments are advanced. 相似文献
19.
Two studies examined students' intuitive physics ability and characteristics associated with physics competence. In Study 1, although many students did well on a physics quiz, more than 25% of students performed below levels predicted by chance. Better performance on the physics quiz was related to physics grades, highest level of math taken, and students' perceived scholastic competence, but was not related to a number of other hypothesized personality variables. Study 2 further explored personality and academic variables and also examined students' awareness of their own physics ability. Results indicate that the personality variables were again unrelated to ability, but narcissism may be related to subjects' estimates of knowledge. Also, academic variables and how important students think it is to understand the physical world are related to both measured and estimated physics proficiency. © 2002 Wiley Periodicals, Inc. J Res Sci Teach 39: 394–409, 2002 相似文献
20.
Wolfgang Schneider 《Educational Psychology Review》1993,5(3):257-273
Developmental studies assessing the impact of domain-specific knowledge on memory are discussed. In the first section of the review, different ways through which domain-specific knowledge relates to strategy use in memory tasks are briefly summarized. Empirical evidence indicating nonstrategic effects of the knowledge base are discussed next. In particular, findings based on the expert-novice paradigm are used to compare the knowledge structure and memory performance of experts and novices of different ages, and to explore how individual differences relate to the acquisition and use of domain-specific knowledge. The review shows that domain-specific knowledge permits children to process and remember domain-related information more efficiently, apply strategies more effectively, and integrate novel information more easily than domains for which they have less detailed knowledge. If the knowledge base is particularly rich, it exerts a greater influence than other sources of memory development (i.e., memory capacity, strategies, and metamemory) combined. 相似文献