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Developing and using scientific models is an important scientific practice for science students. Undergraduate chemistry curricula are often centered on established disciplinary models, and assessments typically provide students with opportunities to use these models to predict and explain chemical phenomena. However, traditional curricula generally provide few opportunities for students to consider the epistemic nature of models and the process of modeling. To gain a sense of how introductory chemistry students understand model changeability, model multiplicity, the evaluation of models, and the process of modeling, we use a construct-mapping approach to characterize the sophistication of students' epistemic knowledge of models and modeling. We present a set of four related construct maps that we developed based on the work of other scholars and empirically validated in an undergraduate introductory chemistry setting. We use the construct maps to identify themes in students' responses to an open-ended survey instrument, the models in chemistry survey, and discuss the implications for teaching.  相似文献   

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There is now a significant research literature devoted to reconceptualizing scientific activities, such as modeling, explanation, and argumentation, to realize a vision of science-as-practice in classrooms. As yet, however, not all scientific practices have received equal attention. Planning and Carrying out Investigations is one of the eight scientific practices identified in the Next Generation Science Standards, and there is a long line of research from both psychological and science education traditions that addresses topics about investigation, such as the generation and interpretation of evidence. However, investigation has not been subject to concerted reconceptualization within recent research and instructional design efforts focused on science-as-practice. In this article, we propose a framework that centers the investigation as a key locus for constructing alignments among phenomena, data, and explanatory models and makes visible the work that scientists engage in as they develop and stabilize alignments. We argue that these alignments are currently under-theorized and under-utilized in instructional environments. We explore four opportunities that we argue are both accessible to students from a young age and can support conceptual innovation. These are (a) developing empirical systems, (b) getting a grip on empirical systems, (c) determining, defining and operationalizing data as “evidence,” and (d) making sense of what the results of empirical systems do and do not help us understand.  相似文献   

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The increased availability of computational modeling software has created opportunities for students to engage in scientific inquiry through constructing computer‐based models of scientific phenomena. However, despite the growing trend of integrating technology into science curricula, educators need to understand what aspects of these technologies promote student learning. This study used a multi‐method research approach involving both quantitative (Paper 1) and qualitative data (Paper 2) to examine student conceptual understanding of astronomical phenomena, relative to two different instructional experiences. Specifically, based on students' understandings of both spatial and declarative knowledge, we compared students who had constructed three‐dimensional computational models with students who had experienced traditional lecture‐based instruction. Quantitative analysis of pre‐interview and post‐interview data revealed that construction of three‐dimensional models best facilitated student understandings of spatially related astronomical concepts — whereas traditional instruction techniques best facilitated student understandings of fact‐oriented astronomical knowledge. This paper is the first in a two‐paper set that continues our line of research into whether problem‐based courses such as the Virtual Solar System course can be used as a viable alternative to traditional lecture‐based astronomy courses.  相似文献   

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Engaging children in scientific practices is hard for beginning teachers. One such scientific practice with which beginning teachers may have limited experience is scientific modeling. We have iteratively designed preservice teacher learning experiences and materials intended to help teachers achieve learning goals associated with scientific modeling. Our work has taken place across multiple years at three university sites, with preservice teachers focused on early childhood, elementary, and middle school teaching. Based on results from our empirical studies supporting these design decisions, we discuss design features of our modeling instruction in each iteration. Our results suggest some successes in supporting preservice teachers in engaging students in modeling practice. We propose design principles that can guide science teacher educators in incorporating modeling in teacher education.  相似文献   

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Mathematical models and mathematical modeling play different roles in the different areas and problems in which they are used. The function and status of mathematical modeling and models in the different areas depend on the scientific practice as well as the underlying philosophical and theoretical position held by the modeler(s) and the practitioners in the extra-mathematical domain. For students to experience the significance of different scientific practices and cultures for the function and status of mathematical modeling in other sciences, students need to be placed in didactical situations where such differences are exposed and made into explicit objects of their reflections. It can be difficult to create such situations in the teaching of contemporary science in which modeling is part of the culture. In this paper we show how history can serve as a means for students to be engaged in situations in which they can experience and be challenged to reflect upon and criticize, the use of modeling and the significance of the context for the function and status of modeling and models in scientific practices. We present Nicolas Rashevsky’s model of cell division from the 1930s together with a discussion of disagreement between him and some biologists as one such episode from the past. We illustrate how a group of science students at Roskilde University, through their work with this historical case, experienced that different scientific cultures have different opinions of the value of a model as an instrument for gaining scientific knowledge; that the explanatory power of a model is linked not only to the context of its use, but also to the underlying philosophical and theoretical position held by the modeler(s) and the scientists discussing the model and its use. The episode’s potential to challenge students to reflect upon and criticize the modeling process and the function of models in an extra mathematical domain is discussed with respect to the notions of internal and external reflections.  相似文献   

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Scientific modeling has been advocated as one of the core practices in recent science education policy initiatives. In modeling-based instruction (MBI), students use, construct, and revise models to gain scientific knowledge and inquiry skills. Oftentimes, the benefits of MBI have been documented using assessments targeting students’ conceptual understanding or affective domains. Fewer studies have used assessments directly built on the ideas of modeling. The purpose of this study is to synthesize and examine modeling-oriented assessments (MOA) in the last three decades and propose new directions for research in this area. The study uses a collection of 30 empirical research articles that report MOA from an initial library of 153 articles focusing on MBI in K-12 science education from 1980 to 2013. The findings include the variety of themes within each of the three MOA dimensions (modeling products, modeling practices, and meta-modeling knowledge) and the areas of MOA still in need of much work. Based on the review, three guiding principles are proposed for future work in MOA: (a) framing MOA in an ecology of assessment, (b) providing authentic modeling contexts for assessment, and (c) spelling out the connections between MOA items and the essential aspects of modeling to be assessed.  相似文献   

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Modeling, like inquiry more generally, is not a single method, but rather a complex suite of strategies. Philosophers of biology, citing the diverse aims, interests, and disciplinary cultures of biologists, argue that modeling is best understood in the context of its epistemic aims and cognitive payoffs. In the science education literature, modeling has been discussed in a variety of ways, but often without explicit reference to the diversity of roles models play in scientific practice. We aim to expand and bring clarity to the myriad uses of models in science by presenting a framework from philosopher of biology Jay Odenbaugh that describes five pragmatic strategies of model use in the biological sciences. We then present illustrative examples of each of these roles from an empirical study of an undergraduate biological modeling curriculum, which highlight how students used models to help them frame their research question, explore ideas, and refine their conceptual understanding in an educational setting. Our aim is to begin to explicate the definition of modeling in science in a way that will allow educators and curriculum developers to make informed choices about how and for what purpose modeling enters science classrooms.  相似文献   

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Elementary students should have opportunities to develop scientific models to reason and build understanding about how and why plants depend on relationships within an ecosystem for growth and survival. However, scientific modeling practices are rarely included within elementary science learning environments and disciplinary content is often treated as discrete pieces separate from scientific practice. Elementary students have few, if any, opportunities to reason about how individual organisms, such as plants, hold critical relationships with their surrounding environment. The purpose of this design-based research study is to build a learning performance to identify and explore the third-grade students’ baseline understanding of and their reasoning about plant–ecosystem relationships when engaged in the practices of modeling. The developed learning performance integrated scientific content and core scientific activity to identify and measure how students build knowledge about the role of plants in ecosystems through the practices of modeling. Our findings indicate that the third-grade students’ ideas about plant growth include abiotic and biotic relationships. Further, they used their models to reason about how and why these relationships were necessary to maintain plant stasis. However, while the majority of the third-grade students were able to identify and reason about plant–abiotic relationships, a much smaller group reasoned about plant–abiotic–animal relationships. Implications from the study suggest that modeling serves as a tool to support elementary students in reasoning about system relationships, but they require greater curricular and instructional support in conceptualizing how and why ecosystem relationships are necessary for plant growth and development.  相似文献   

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The Next-Generation Science Standards (NGSS) call for a different approach to learning science. They promote three-dimensional (3D) learning that blends disciplinary core ideas, crosscutting concepts and scientific practices. In this study, we examined explanations constructed by secondary science teacher candidates (TCs) as a scientific practice outlined in the NGSS necessary for supporting students’ learning of science in this 3D way. We examined TCs’ ability to give explanations that include explicit statements of underlying reasons for natural phenomena, as opposed to simply describing patterns or laws. In their methods courses, TCs were taught to organize explanations into a what/how/why framework, where what refers to what happens in specific cases (data or observations); how refers to how things usually happen and is equivalent to patterns or laws; and why refers to causal explanations or models. We examined TCs’ ability to do this spontaneously and in a resource-rich environment as a first step in gauging their preparedness for NGSS-aligned teaching. We found that (1) the ability of TCs to articulate complete and accurate causal scientific explanations for phenomena exists along a continuum; (2) TCs in our sample whose explanations fell on the upper end of this continuum were more likely to provide complete and accurate explanations even in the absence of support from explicit standards; and (3) teacher candidate’s ability to construct complete and accurate explanations did not correlate with cross-course performance or academic major. The implications of these findings for the preparation of teachers for NGSS-based science instruction are discussed.  相似文献   

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The constructivist paradigm opens abundant opportunities for effective knowledge construction in which student build knowledge and continually evaluated and improved their knowledge. The teaching mode under constructivist pedagogy redefines the role of students and the teachers and their interrelationships by creating a nurturing environment. By adapting constructivist framework, this article demonstrates how the variation of learning practices was critical in facilitating Primary 4 students in Singapore to carry out seamless science learning. The variation of learning practices enables the students to explore a particular scientific concept through various learning experience across the contexts. The study adapted the framework of the Objects of Constructivist Learning Model for the improvement of the seamless science learning design. When redesigning the lesson, a conscious effort was made by the teacher to create relevant patterns of variation, that is, varying certain critical aspect(s) while keeping other aspects of the object of learning invariant in order to help students discern those critical aspects. The findings contribute knowledge to how the Theory of Variation can be used in analyzing seamless learning as well as designing for constructivist learning experiences. The findings have also demonstrated that the complementary practice of constructivist pedagogy with variation theory as a viable and effective approach in seamless science learning, at which it deepened students' understanding through constructing the critical aspects of a phenomenon. Engagement with primary school students in experiencing the variations allowed the translation of theory into practice.  相似文献   

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Interpreting and creating graphs plays a critical role in scientific practice. The K-12 Next Generation Science Standards call for students to use graphs for scientific modeling, reasoning, and communication. To measure progress on this dimension, we need valid and reliable measures of graph understanding in science. In this research, we designed items to measure graph comprehension, critique, and construction and developed scoring rubrics based on the knowledge integration (KI) framework. We administered the items to over 460 middle school students. We found that the items formed a coherent scale and had good reliability using both item response theory and classical test theory. The KI scoring rubric showed that most students had difficulty linking graphs features to science concepts, especially when asked to critique or construct graphs. In addition, students with limited access to computers as well as those who speak a language other than English at home have less integrated understanding than others. These findings point to the need to increase the integration of graphing into science instruction. The results suggest directions for further research leading to comprehensive assessments of graph understanding.  相似文献   

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We report a case study of model‐based reasoning in which a small group of fourth‐grade students analyzes the energy flow when a solar panel is used to power an electric motor that spins a propeller. In developing their explanation of energy flow, the students draw on a general model of energy developed collectively by their class in the course of an experimental classroom curriculum led by a trained teacher. They also construct a model‐based representation of the specific system under study. Their investigation and reasoning process exhibit all the features of authentic scientific model‐based inquiry, including the revision of their models to incorporate new information. In the course of their work the students recruit and seamlessly integrate nearly all of the practices of science designated in the Next Generation Science Standards. This case study provides an example of what modeling‐based teaching and learning can look like in an elementary school classroom. It also suggests that the study of energy offers a particularly promising context for developing students' use of science practices, especially the practice of developing and using models.  相似文献   

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The purpose of this article is to provide an overview of the nature of models and their uses in the science classroom based on a theoretical review of literature. The ideas that science philosophers and science education researchers have in common about models and modelling are scrutinised according to five subtopics: meanings of a model, purposes of modelling, multiplicity of scientific models, change in scientific models and uses of models in the science classroom. First, a model can be defined as a representation of a target and serves as a ‘bridge’ connecting a theory and a phenomenon. Second, a model plays the roles of describing, explaining and predicting natural phenomena and communicating scientific ideas to others. Third, multiple models can be developed in science because scientists may have different ideas about what a target looks like and how it works and because there are a variety of semiotic resources available for constructing models. Fourth, scientific models are tested both empirically and conceptually and change along with the process of developing scientific knowledge. Fifth, in the science classroom, not only teachers but also students can take advantage of models as they are engaged in diverse modelling activities. The overview presented in this article can be used to educate science teachers and encourage them to utilise scientific models appropriately in their classrooms.  相似文献   

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Elementary teachers play a crucial role in supporting and scaffolding students’ model-based reasoning about natural phenomena, particularly complex systems such as the water cycle. However, little research exists to inform efforts in supporting elementary teachers’ learning to foster model-centered, science learning environments. To address this need, we conducted an exploratory multiple-case study using qualitative research methods to investigate six 3rd-grade teachers’ pedagogical reasoning and classroom instruction around modeling practices (construct, use, evaluate, and revise) and epistemic considerations of scientific modeling (generality/abstraction, evidence, mechanism, and audience). Study findings show that all teachers emphasized a subset of modeling practices—construction and use—and the epistemic consideration of generality/abstraction. There was observable consistency between teachers’ articulated conceptions of scientific modeling and their classroom practices. Results also show a subset of the teachers more strongly emphasized additional epistemic considerations and, as a result, better supported students to use models as sense-making tools as well as representations. These findings provide important evidence for developing elementary teacher supports to scaffold students’ engagement in scientific modeling.  相似文献   

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Since the 1990s, researchers have increasingly drawn attention to the multiplicity of representations used in science. This issue of RISE advances this line of research by placing such representations at the centre of science teaching and learning. The authors show that representations do not simply transmit scientific information; they are integral to reasoning about scientific phenomena. This focus on thinking with representations mediates between well-resolved representations and formal reasoning of disciplinary science, and the capacity-limited, perceptually-driven nature of human cognition. The teaching practices described here build on three key principles: Each representation is interpreted through others; natural language is a sign system that is used to interpret a variety of other kinds of representations; and this chain of signs or representations is ultimately grounded in bodily experiences of perception and action. In these papers, the researchers provide examples and analysis of teachers scaffolding students in using representations to construct new knowledge, and in constructing new representations to express and develop their knowledge. The result is a new delineation of the power and the challenges of teaching science with multiple representations.  相似文献   

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