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1.
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   

2.
This paper describes a newly adapted instrument for measuring novice-to-expert-like perceptions about biology: the Colorado Learning Attitudes about Science Survey for Biology (CLASS-Bio). Consisting of 31 Likert-scale statements, CLASS-Bio probes a range of perceptions that vary between experts and novices, including enjoyment of the discipline, propensity to make connections to the real world, recognition of conceptual connections underlying knowledge, and problem-solving strategies. CLASS-Bio has been tested for response validity with both undergraduate students and experts (biology PhDs), allowing student responses to be directly compared with a consensus expert response. Use of CLASS-Bio to date suggests that introductory biology courses have the same challenges as introductory physics and chemistry courses: namely, students shift toward more novice-like perceptions following instruction. However, students in upper-division biology courses do not show the same novice-like shifts. CLASS-Bio can also be paired with other assessments to: 1) examine how student perceptions impact learning and conceptual understanding of biology, and 2) assess and evaluate how pedagogical techniques help students develop both expertise in problem solving and an expert-like appreciation of the nature of biology.  相似文献   

3.
A typical undergraduate biology curriculum covers a very large number of concepts and details. We describe the development of a Biology Concept Framework (BCF) as a possible way to organize this material to enhance teaching and learning. Our BCF is hierarchical, places details in context, nests related concepts, and articulates concepts that are inherently obvious to experts but often difficult for novices to grasp. Our BCF is also cross-referenced, highlighting interconnections between concepts. We have found our BCF to be a versatile tool for design, evaluation, and revision of course goals and materials. There has been a call for creating Biology Concept Inventories, multiple-choice exams that test important biology concepts, analogous to those in physics, astronomy, and chemistry. We argue that the community of researchers and educators must first reach consensus about not only what concepts are important to test, but also how the concepts should be organized and how that organization might influence teaching and learning. We think that our BCF can serve as a catalyst for community-wide discussion on organizing the vast number of concepts in biology, as a model for others to formulate their own BCFs and as a contribution toward the creation of a comprehensive BCF.  相似文献   

4.
We followed established best practices in concept inventory design and developed a 12-item inventory to assess student ability in statistical reasoning in biology (Statistical Reasoning in Biology Concept Inventory [SRBCI]). It is important to assess student thinking in this conceptual area, because it is a fundamental requirement of being statistically literate and associated skills are needed in almost all walks of life. Despite this, previous work shows that non–expert-like thinking in statistical reasoning is common, even after instruction. As science educators, our goal should be to move students along a novice-to-expert spectrum, which could be achieved with growing experience in statistical reasoning. We used item response theory analyses (the one-parameter Rasch model and associated analyses) to assess responses gathered from biology students in two populations at a large research university in Canada in order to test SRBCI’s robustness and sensitivity in capturing useful data relating to the students’ conceptual ability in statistical reasoning. Our analyses indicated that SRBCI is a unidimensional construct, with items that vary widely in difficulty and provide useful information about such student ability. SRBCI should be useful as a diagnostic tool in a variety of biology settings and as a means of measuring the success of teaching interventions designed to improve statistical reasoning skills.  相似文献   

5.
Tasks with a complex, dynamic visual component require not only the acquisition of conceptual/procedural but also of perceptual/attentional skills. This study examined expertise differences in perceiving and interpreting complex, dynamic visual stimuli on a performance and on a process level, including perceptual and conceptual strategies. Performance, eye movement, and verbal report data were obtained from seven experts and 14 novices. Results show that experts compared to novices attend more to relevant aspects of the stimulus, use more heterogeneous task approaches, and use knowledge-based shortcuts. Implications for instructional design for the acquisition of perceptual skills are discussed.  相似文献   

6.
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   

7.
This feature draws on a 2012 National Research Council report to highlight some of the insights that discipline-based education research in general—and biology education research in particular—have provided into the challenges of undergraduate science education. It identifies strategies for overcoming those challenges and future directions for biology education research.Biologists have long been concerned about the quality of undergraduate biology education. Indeed, some biology education journals, such as the American Biology Teacher, have been in existence since the 1930s. Early contributors to these journals addressed broad questions about science learning, such as whether collaborative or individual learning was more effective and the value of conceptualization over memorization. Over time, however, biology faculty members have begun to study increasingly sophisticated questions about teaching and learning in the discipline. These scholars, often called biology education researchers, are part of a growing field of inquiry called discipline-based education research (DBER).DBER investigates both fundamental and applied aspects of teaching and learning in a given discipline; our emphasis here is on several science disciplines and engineering. The distinguishing feature of DBER is deep disciplinary knowledge of what constitutes expertise and expert-like understanding in a discipline. This knowledge has the potential to guide research focused on the most important concepts in a discipline and offers a framework for interpreting findings about students’ learning and understanding in that discipline. While DBER investigates teaching and learning in a given discipline, it is informed by and complementary to general research on human learning and cognition and can build on findings from K–12 science education research.DBER is emerging as a field of inquiry from programs of research that have developed somewhat independently in various disciplines in the sciences and engineering. Although biology education research (BER) has emerged more recently than similar efforts in physics, chemistry, or engineering education research, it is making contributions to the understanding of how students learn and gain expertise in biology. These contributions, together with those that DBER has made in physics and astronomy, chemistry, engineering, and the geosciences, are the focus of a 2012 report by the National Research Council (NRC, 2012 ).1 For biologists who are interested in education research, the report is a useful reference, because it offers the first comprehensive synthesis of the emerging body of BER and highlights the ways in which BER findings are similar to those in other disciplines. In this essay, we draw on the NRC report to highlight some of the insights that DBER in general and BER in particular have provided into effective instructional practices and undergraduate learning, and to point to some directions for the future. The views in this essay are ours as editors of the report and do not represent the official views of the Committee on the Status, Contributions, and Future Directions of Discipline-Based Education Research; the NRC; or the National Science Foundation (NSF).  相似文献   

8.
The aim of this study was to investigate the relationships between students?? epistemic beliefs in biology and their approaches to learning biology. To this end, two instruments, the epistemic beliefs in biology and the approaches to learning biology surveys, were developed and administered to 520 university biology students, respectively. By and large, it was found that the students reflected ??mixed?? motives in biology learning, while those who had more sophisticated epistemic beliefs tended to employ deep strategies. In addition, the results of paired t tests revealed that the female students were more likely to possess beliefs about biological knowledge residing in external authorities, to believe in a right answer, and to utilize rote learning as a learning strategy. Moreover, compared to juniors and seniors, freshmen and sophomores tended to hold less mature views on all factors of epistemic beliefs regarding biology. Another comparison indicated that theoretical biology students (e.g. students majoring in the Department of Biology) tended to have more mature beliefs in learning biology and more advanced strategies for biology learning than those students studying applied biology (e.g. in the Department of Biotechnology). Stepwise regression analysis, in general, indicated that students who valued the role of experiments and justify epistemic assumptions and knowledge claims based on evidence were more oriented towards having mixed motives and utilizing deep strategies to learn biology. In contrast, students who believed in the certainty of biological knowledge were more likely to adopt rote learning strategies and to aim to qualify in biology.  相似文献   

9.
The American Association for the Advancement of Science 2011 report Vision and Change in Undergraduate Biology Education encourages the teaching of developmental biology as an important part of teaching evolution. Recently, however, we found that biology majors often lack the developmental knowledge needed to understand evolutionary developmental biology, or “evo-devo.” To assist in efforts to improve evo-devo instruction among undergraduate biology majors, we designed a concept inventory (CI) for evolutionary developmental biology, the EvoDevoCI. The CI measures student understanding of six core evo-devo concepts using four scenarios and 11 multiple-choice items, all inspired by authentic scientific examples. Distracters were designed to represent the common conceptual difficulties students have with each evo-devo concept. The tool was validated by experts and administered at four institutions to 1191 students during preliminary (n = 652) and final (n = 539) field trials. We used student responses to evaluate the readability, difficulty, discriminability, validity, and reliability of the EvoDevoCI, which included items ranging in difficulty from 0.22–0.55 and in discriminability from 0.19–0.38. Such measures suggest the EvoDevoCI is an effective tool for assessing student understanding of evo-devo concepts and the prevalence of associated common conceptual difficulties among both novice and advanced undergraduate biology majors.  相似文献   

10.
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11.
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   

12.
任务分析是使生物课堂教学设计走向科学化、系统化和正规化的一项重要的教学理论与技术。生物课堂教学任务分析包括：确定学生的起点能力;分析使能目标及其学习类型;分析学习的支持性条件。就任务分析的教学理论和技术,如何应用于中学生物课堂教学设计的实践,做了初步的尝试和探讨。  相似文献   

13.
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   

14.
Interest in student conception of experimentation inspired the development of a fully validated 14-question inventory on experimental design in biology (BEDCI) by following established best practices in concept inventory (CI) design. This CI can be used to diagnose specific examples of non–expert-like thinking in students and to evaluate the success of teaching strategies that target conceptual changes. We used BEDCI to diagnose non–expert-like student thinking in experimental design at the pre- and posttest stage in five courses (total n = 580 students) at a large research university in western Canada. Calculated difficulty and discrimination metrics indicated that BEDCI questions are able to effectively capture learning changes at the undergraduate level. A high correlation (r = 0.84) between responses by students in similar courses and at the same stage of their academic career, also suggests that the test is reliable. Students showed significant positive learning changes by the posttest stage, but some non–expert-like responses were widespread and persistent. BEDCI is a reliable and valid diagnostic tool that can be used in a variety of life sciences disciplines.  相似文献   

15.
There is widespread agreement within the scientific and education communities that undergraduate biology curricula fall short in providing students with the quantitative and interdisciplinary problem-solving skills they need to obtain a deep understanding of biological phenomena and be prepared fully to contribute to future scientific inquiry. MathBench Biology Modules were designed to address these needs through a series of interactive, Web-based modules that can be used to supplement existing course content across the biological sciences curriculum. The effect of the modules was assessed in an introductory biology course at the University of Maryland. Over the course of the semester, students showed significant increases in quantitative skills that were independent of previous math course work. Students also showed increased comfort with solving quantitative problems, whether or not they ultimately arrived at the correct answer. A survey of spring 2009 graduates indicated that those who had experienced MathBench in their course work had a greater appreciation for the role of mathematics in modern biology than those who had not used MathBench. MathBench modules allow students from diverse educational backgrounds to hone their quantitative skills, preparing them for more complex mathematical approaches in upper-division courses.  相似文献   

16.
The integrative role that Evolutionary theory plays within Biology is recognised by most scientific authors, as well as in governmental education policies, including Brazilian policies. However, teaching and learning evolution seems problematic in many countries, and Brazil is among those. Many factors may affect teachers’ and students’ perceptions towards evolution, and studies can help to reveal those factors. We used a conceptual questionnaire, the Measure of Acceptance of the Theory of Evolution (MATE) instrument, and a Knowledge test to assess (1) the level of acceptance and understanding of 23 undergraduate Biology students nearing the end of their course, (2) other factors that could affect these levels, including course structure, and (3) the most difficult topics regarding evolutionary biology. The results of this study showed that the students, on average, had a ‘Very High Acceptance’ (89.91) and a ‘Very Low Knowledge’ (59.42%) of Evolutionary theory, and also indicated a moderate positive correlation between the two (r?=?0.66, p?=?.001). The most difficult topics were related to the definition of evolution and dating techniques. We believe that the present study provides evidence for policymakers to reformulate current school and university curricula in order to improve the teachers’ acceptance and understanding of evolution and other biological concepts, consequently, helping students reduce their misconceptions related to evolutionary biology.  相似文献   

17.
The complex concepts and vocabulary of biology classes discourage many students. In this study, a pretest–posttest model was used to test the effectiveness of an educational card game in reinforcing biological concepts in comparison with traditional teaching methods. The subjects of this study were two biology classes at Bulacan State University–Sarmiento Campus. Both classes received conventional instruction; however, the experimental group''s instruction was supplemented with the card game, while the control group''s instruction was reinforced with traditional exercises and assignments. The score increases from pretest to posttest showed that both methods effectively reinforced biological concepts, but a t test showed that the card game is more effective than traditional teaching methods. Additionally, students from the experimental group evaluated the card game using five criteria: goals, design, organization, playability, and usefulness. The students rated the material very satisfactory.  相似文献   

18.
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19.
This study explores biology undergraduates' misconceptions about genetic drift. We use qualitative and quantitative methods to describe students' definitions, identify common misconceptions, and examine differences before and after instruction on genetic drift. We identify and describe five overarching categories that include 16 distinct misconceptions about genetic drift. The accuracy of students' conceptions ranges considerably, from responses indicating only superficial, if any, knowledge of any aspect of evolution to responses indicating knowledge of genetic drift but confusion about the nuances of genetic drift. After instruction, a significantly greater number of responses indicate some knowledge of genetic drift (p = 0.005), but 74.6% of responses still contain at least one misconception. We conclude by presenting a framework that organizes how students' conceptions of genetic drift change with instruction. We also articulate three hypotheses regarding undergraduates' conceptions of evolution in general and genetic drift in particular. We propose that: 1) students begin with undeveloped conceptions of evolution that do not recognize different mechanisms of change; 2) students develop more complex, but still inaccurate, conceptual frameworks that reflect experience with vocabulary but still lack deep understanding; and 3) some new misconceptions about genetic drift emerge as students comprehend more about evolution.  相似文献   

20.
The literature on the role of models and theories in physics suggests that multiple models, abstract or concrete exist for a particular phenomenon. These models could be organized into hierarchies describing the entire physics domain (Giere 1994). Hierarchies of concepts have been used in other domains with success; however, criteria for a hierarchy of models in physics and theory's role are unclear. Therefore, research was conducted to describe the knowledge structures of experts, intermediates, and novices. A reiterative categorization task required subjects to sort and re-sort physics problems. The proportions of theory- and model-based categories created by the subjects were compared. Novices created hierarchies of model-based categories. Both intermediates and experts created theory-based categories at the highest, most abstract, level but combined model- and theory-based categories at middle and lower levels. These results support a representation of physics knowledge in which a hierarchy of models is organized by theory-based categories.  相似文献   

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