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This article concerns a lacuna in chemistry students' reasoning about chemical bonding. Although chemistry students are familiar with the charges that make up the atom––both positive and negative––they refer only to the attraction between unlike charges. Specifically, they ignore the repulsion between the positive nuclei. We named this disregard of repulsion the lacuna of repulsion. Repulsion is a crucial component in the force-based explanation of chemical bonding, presenting the bond as a dynamic equilibrium between attraction and repulsion electrical forces. We noticed this lacuna incidentally while interviewing chemistry students for a bigger project aimed at supporting students in understanding the force-based explanation of chemical bonding. This article describes our systematic qualitative study of the lacuna of repulsion and its impact on mental models of 23 high school chemistry students. Our findings show that students use six mental models, most of them built upon each other. Beginning from a simple mental model that describes the chemical bond as electrons, continuing with the including attraction forces, and completing with repulsion and a dynamic view of the bond. Only when one considers both attraction and repulsion forces and understands the dynamic balance between them is it possible to build the force-based dynamic mental model of chemical bonding.  相似文献   
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Today’s society is continuously coping with sustainability‐related complex issues in the Science‐Technology‐Environment‐Society (STES) interfaces. In those contexts, the need and relevance of the development of students’ higher‐order cognitive skills (HOCS) such as question‐asking, critical‐thinking, problem‐solving and decision‐making capabilities within science teaching have been argued by several science educators for decades. Three main objectives guided this study: (1) to establish “base lines” for HOCS capabilities of 10th grade students (n = 264) in the Israeli educational system; (2) to delineate within this population, two different groups with respect to their decision‐making capability, science‐oriented (n = 142) and non‐science (n = 122) students, Groups A and B, respectively; and (3) to assess the pre‐post development/change of students’ decision‐making capabilities via STES‐oriented HOCS‐promoting curricular modules entitled Science, Technology and Environment in Modern Society (STEMS). A specially developed and validated decision‐making questionnaire was used for obtaining a research‐based response to the guiding research questions. Our findings suggest that a long‐term persistent application of purposed decision‐making, promoting teaching strategies, is needed in order to succeed in affecting, positively, high‐school students’ decision‐making ability. The need for science teachers’ involvement in the development of their students’ HOCS capabilities is thus apparent.  相似文献   
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Journal of Science Education and Technology - Complex systems are made up of many entities, whose interactions emerge into distinct collective patterns. Computational modeling platforms can provide...  相似文献   
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A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and low factor loadings). Because of this, researchers have recommended using multiple methods to make judgments about the number of factors to extract. Implicit in this recommendation is that, when the number of factors is chosen based on PA, uncertainty nevertheless exists. We propose a Bayesian parallel analysis (B-PA) method to incorporate the uncertainty with decisions about the number of factors. B-PA yields a probability distribution for the various possible numbers of factors. We implement and compare B-PA with a frequentist approach, revised parallel analysis (R-PA), in the contexts of real and simulated data. Results show that B-PA provides relevant information regarding the uncertainty in determining the number of factors, particularly under conditions with small sample sizes, low factor loadings, and less distinguishable factors. Even if the indicated number of factors with the highest probability is incorrect, B-PA can show a sizable probability of retaining the correct number of factors. Interestingly, when the mode of the distribution of the probabilities associated with different numbers of factors was treated as the number of factors to retain, B-PA was somewhat more accurate than R-PA in a majority of the conditions.  相似文献   
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