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1.
Although molecular-level details are part of the upper-secondary biology curriculum in most countries, many studies report that students fail to connect molecular knowledge to phenomena at the level of cells, organs and organisms. Recent studies suggest that students lack a framework to reason about complex systems to make this connection. In this paper, we present a framework that could help students to reason back and forth between cells and molecules. It represents both the general type of explanation in molecular biology and the research strategies scientists use to find these explanations. We base this framework on recent work in the philosophy of science that characterizes explanations in molecular biology as mechanistic explanations. Mechanistic explanations describe a phenomenon in terms of the entities involved, the activities displayed and the way these entities and activities are organized. We conclude that to describe cellular phenomena scientists use entities and activities at multiple levels between cells and molecules. In molecular biological research, scientists use heuristics based on these intermediate levels to construct mechanistic explanations. They subdivide a cellular activity into hypothetical lower-level activities (top-down approaches) and they predict and test the organization of macromolecules into functional modules that play a role in higher-level activities (bottom-up approaches). We suggest including molecular mechanistic reasoning in biology education and we identify criteria for designing such education. Education using molecular mechanistic reasoning can build on common intuitive reasoning about mechanisms. The heuristics that scientists use can help students to apply this intuitive notion to the levels in between molecules and cells.  相似文献   

2.
ABSTRACT

When conducting scientific research, experts in molecular and cellular biology (MCB) use specific reasoning strategies to construct mechanistic explanations for the underlying causal features of molecular phenomena. We explored how undergraduate students applied this scientific practice in MCB. Drawing from studies of explanation building among scientists, we created and applied a theoretical framework to explore the strategies students use to construct explanations for ‘novel’ biological phenomena. Specifically, we explored how students navigated the multi-level nature of complex biological systems using generative mechanistic reasoning. Interviews were conducted with introductory and upper-division biology students at a large public university in the United States. Results of qualitative coding revealed key features of students’ explanation building. Students used modular thinking to consider the functional subdivisions of the system, which they ‘filled in’ to varying degrees with mechanistic elements. They also hypothesised the involvement of mechanistic entities and instantiated abstract schema to adapt their explanations to unfamiliar biological contexts. Finally, we explored the flexible thinking that students used to hypothesise the impact of mutations on multi-leveled biological systems. Results revealed a number of ways that students drew mechanistic connections between molecules, functional modules (sets of molecules with an emergent function), cells, tissues, organisms and populations.  相似文献   

3.
Previous studies have documented the promising results from student-constructed representations, including stop-motion animation (SMA), in supporting mechanistic reasoning (MR), which is considered an essential thinking skill in science education. Our current study presents theoretically and empirically how student-constructed SMA contributes to promoting MR. As a theoretical perspective, we propose a framework hypothesizing the link between elements of MR and the construction nature of SMA, that is, chunking and sequencing. We then examined the extent to which this framework was consistent with a multiple-case study in the domain of static electricity involving five secondary school students constructing and using their own SMA creation for reasoning. In addition, students' reasoning in pre- and postconstruction of an SMA was examined. Our empirical findings confirmed our framework by showing that all students identified the basic elements of MR, that is, entities and activities of entities, when engaging in chunking and sequencing. Chunking played a role in facilitating students to identify entities responsible for electrostatic phenomena, and sequencing seemed to elicit students to specify activities of these entities. The analysis of students' reasoning in pre- and postconstruction of SMA found that student-generated SMA has a potential effect on students' retention of the use of MR. Implications for instruction with SMA construction to support MR are discussed.  相似文献   

4.
ABSTRACT

Student engagement in learning science is both a desirable goal and a long-standing teacher challenge. Moving beyond engagement understood as transient topic interest, we argue that cognitive engagement entails sustained interaction in the processes of how knowledge claims are generated, judged, and shared in this subject. In this paper, we particularly focus on the initial claim-building aspect of this reasoning as a crucial phase in student engagement. In reviewing the literature on student reasoning and argumentation, we note that the well-established frameworks for claim-judging are not matched by accounts of creative reasoning in claim-building. We develop an exploratory framework to characterise and enact this reasoning to enhance engagement. We then apply this framework to interpret two lessons by two science teachers where they aimed to develop students’ reasoning capabilities to support learning.  相似文献   

5.
Scientific reasoning is particularly pertinent to science education since it is closely related to the content and methodologies of science and contributes to scientific literacy. Much of the research in science education investigates the appropriate framework and teaching methods and tools needed to promote students’ ability to reason and evaluate in a scientific way. This paper aims (a) to contribute to an extended understanding of the nature and pedagogical importance of model-based reasoning and (b) to exemplify how using computer simulations can support students’ model-based reasoning. We provide first a background for both scientific reasoning and computer simulations, based on the relevant philosophical views and the related educational discussion. This background suggests that the model-based framework provides an epistemologically valid and pedagogically appropriate basis for teaching scientific reasoning and for helping students develop sounder reasoning and decision-taking abilities and explains how using computer simulations can foster these abilities. We then provide some examples illustrating the use of computer simulations to support model-based reasoning and evaluation activities in the classroom. The examples reflect the procedure and criteria for evaluating models in science and demonstrate the educational advantages of their application in classroom reasoning activities.  相似文献   

6.
Compared with research on the role of student engagement with expert representations in learning science, investigation of the use and theoretical justification of student-generated representations to learn science is less common. In this paper, we present a framework that aims to integrate three perspectives to explain how and why representational construction supports learning in science. The first or semiotic perspective focuses on student use of particular features of symbolic and material tools to make meanings in science. The second or epistemic perspective focuses on how this representational construction relates to the broader picture of knowledge-building practices of inquiry in this disciplinary field, and the third or epistemological perspective focuses on how and what students can know through engaging in the challenge of representing causal accounts through these semiotic tools. We argue that each perspective entails productive constraints on students’ meaning-making as they construct and interpret their own representations. Our framework seeks to take into account the interplay of diverse cultural and cognitive resources students use in these meaning-making processes. We outline the basis for this framework before illustrating its explanatory value through a sequence of lessons on the topic of evaporation.  相似文献   

7.
Recently, the significance of learners’ informal reasoning on socio‐scientific issues has received increasing attention among science educators. To gain deeper insights into this important issue, an integrated analytic framework was developed in this study. With this framework, 71 Grade 10 students’ informal reasoning about nuclear energy usage was explored qualitatively and quantitatively. It was found that the students in this study tended to process reasoning from multiple perspectives, and most of them were prone to make evidence‐based decisions. However, less than 40% of the participants were able to construct rebuttals against counter‐arguments. It was also revealed that students’ abundant usage of supportive arguments did not guarantee for their counter‐argument construction as well as rebuttal construction, but their usage of counter‐arguments might act as precursors to their construction of rebuttals. In addition, learners’ usage of multiple reasoning modes might help them propose more arguments and, in particular, generate more counter‐arguments, which may act as precursors to their rebuttal construction. This study also showed evidence that students’ scientific knowledge that might be mainly acquired from school science instruction could be viewed as important foundation for better informal reasoning and decision‐making on socio‐scientific issues.  相似文献   

8.
Situating the conceptual knowledge of a science discipline in the context of its use in the solving of problems allows students the opportunity to develop: a highly structured and functional understanding of the conceptual structure of the discipline; general and discipline-specific problem-solving strategies and heuristics; and insight into the nature of science as an intellectual activity. In order realize these potential learning outcomes, the reconstructions of scientific theories used in problem solving must provide a detailed account of (1) realistic scientific problems and their solutions; (2) problem-solving strategies and patterns of reasoning of disciplinary experts; (3) the various ways that theories function for both disciplinary experts and students; and (4) the way theories, as solutions to realistic scientific problems, develop over time. The purpose of this paper, therefore, is to provide further specificity regarding a philosophical reconstruction of the structure of Classical Genetics Theory that can facilitate problem-solving instruction. We analyze syntactic, semantic and problem-based accounts of theory structure with respect to the above criteria and develop a reconstruction that incorporates elements from the latter two. We then describe how that reconstruction can facilitate realistic problem solving on the part of students.  相似文献   

9.
Although the scientific disciplines conduct practical work in different ways, all consider practical work as the essential way of connecting objects and phenomena with ideas and the abstract. Accordingly, practical work is regarded as central to science education as well. We investigate a practical, object-based palaeontology programme at a natural history museum to identify how palaeontological objects prompt scientific activity among upper secondary school students. We first construct a theoretical framework based on an analysis of the programme’s palaeontological content. From this, we build our reference model, which considers the specimens used in the programme, possible palaeontological interpretations of these specimens, and the conditions inherent in the programme. We use the reference model to analyse the activities of programme participants, and illustrate how these activities are palaeontologically authentic. Finally, we discuss our findings, examining the mechanism by which the specimens prompt scientific activities. We also discuss our discipline-based approach, and how it allows us to positively identify participants’ activities as authentic. We conclude by discussing the implications of our findings.  相似文献   

10.
In this article we apply a novel analytical framework to explore students' difficulties in understanding molecular genetics—a domain that is particularly challenging to learn. Our analytical framework posits that reasoning in molecular genetics entails mapping across ontologically distinct levels—an information level containing the genetic information, and a physical level containing hierarchically organized biophysical entities such as proteins, cells, tissues, etc. This mapping requires an understanding of what the genetic information specifies, and how the physical entities in the system mediate the effects of this information. We therefore examined, through interview and written assessments, 10th grade students' understandings of molecular genetics phenomena to uncover the conceptual obstacles involved in reasoning across these ontologically distinct levels. We found that students' described the genetic instructions as containing information about both the structure and function of biological entities across multiple organization levels; a view that is far less constrained than the scientific understandings of the genetic information. In addition, students were often unaware of the different functions of proteins, their relationship to genes, and the role proteins have in mediating the effects of the genetic information. Students' ideas about genes and proteins hindered their ability to reason across the ontologically distinct levels of genetic phenomena, and to provide causal mechanistic explanations of how the genetic information brings about effects of a physical nature. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 44: 938–959, 2007  相似文献   

11.
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12.
ABSTRACT

Many science curricula and standards emphasise that students should learn both scientific knowledge and the skills associated with the construction of this knowledge. One way to achieve this goal is to use inquiry-learning activities that embed the use of science process skills. We investigated the influence of scientific reasoning skills (i.e. conceptual and procedural knowledge of the control-of-variables strategy) on students’ conceptual learning gains in physics during an inquiry-learning activity. Eighth graders (n?=?189) answered research questions about variables that influence the force of electromagnets and the brightness of light bulbs by designing, running, and interpreting experiments. We measured knowledge of electricity and electromagnets, scientific reasoning skills, and cognitive skills (analogical reasoning and reading ability). Using structural equation modelling we found no direct effects of cognitive skills on students’ content knowledge learning gains; however, there were direct effects of scientific reasoning skills on content knowledge learning gains. Our results show that cognitive skills are not sufficient; students require specific scientific reasoning skills to learn science content from inquiry activities. Furthermore, our findings illustrate that what students learn during guided inquiry activities becomes visible when we examine both the skills used during inquiry learning and the process of knowledge construction. The implications of these findings for science teaching and research are discussed.  相似文献   

13.
We investigated how 2 different curricular scaffolds (context-specific vs. generic), teacher instructional practices, and the interaction between these 2 types of support influenced students' learning of science content and their ability to write scientific arguments to explain phenomena. The context-specific scaffolds provided students with hints about the task and what content knowledge to use in or incorporate into their writing. The generic scaffolds supported students in understanding a general framework (i.e., claim, evidence, and reasoning) regardless of the content area or task. This study focused on an 8-week middle school chemistry curriculum that was enacted by 6 teachers with 578 students during the 2004–2005 school year. Analyses of identical pre- and posttests as well as videotapes of teacher enactments revealed that the curricular scaffolds and teacher instructional practices were synergistic in that the effect of the written curricular scaffolds depended on the teacher's enactment of the curriculum. The context-specific curricular scaffolds were more successful in supporting students in writing scientific arguments to explain phenomena, but only when teachers' enactments provided explicit domain-general support for the claim, evidence, and reasoning framework, suggesting the importance of both types of support in successful learning environments.  相似文献   

14.

Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining method called Latent Dirichlet Allocation (LDA) to identify underlying patterns in students written scientific arguments about a complex scientific phenomenon called Albedo Effect. We further examined how identified patterns compare to existing frameworks related to explaining evidence to support claims and attributing sources of uncertainty. LDA was applied to electronically stored arguments written by 2472 students and concerning how decreases in sea ice affect global temperatures. The results indicated that each content topic identified in the explanations by the LDA— “data only,” “reasoning only,” “data and reasoning combined,” “wrong reasoning types,” and “restatement of the claim”—could be interpreted using the claim–evidence–reasoning framework. Similarly, each topic identified in the students’ uncertainty attributions— “self-evaluations,” “personal sources related to knowledge and experience,” and “scientific sources related to reasoning and data”—could be interpreted using the taxonomy of uncertainty attribution. These results indicate that LDA can serve as a tool for content analysis that can discover semantic patterns in students’ scientific argumentation in particular science domains and facilitate teachers’ providing help to students.

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15.
In this article we present an analytical framework for approaching transfer episodes—episodes in which participants declare or can be declared to bring prior experience to bear on the current task organization. We build on Dewey’s writings about the continuity of experience, Vygotsky’s ideas of unit analysis, as well as more recent developments in continental philosophy to develop a transactional approach that involves reconceptualizing the notion of experience. In this view, experience is not something that individuals have but an analytical category that denotes the unity of whole persons, their material and social environment, and their changing transactional relations (mutual effects on each other) across time. In the 1st part of the article, we present the theory and contrast it with past and present literature on transfer. In the 2nd part, we develop the methodological implications and analyze an episode of transfer from a technology-enhanced science education curriculum in which students were presented with analogous models of scientific phenomena across different tasks. We describe instances of recognition, of analogical reasoning, and of how students applied theoretical knowledge in terms of transactional units of change. We conclude by discussing implications with regard to further theoretical development and educational practice.  相似文献   

16.
Students' poor argumentation in the context of socio‐scientific issues has become a concern in science education. Identified problems associated with student argumentation in socio‐scientific issues are misevaluation of evidence, naïve nature of science conceptualizations, and inappropriate use of value‐based reasoning. In this theoretical paper, the authors propose that incorporation of decision‐making research findings to argumentation research may help students overcome these problematic areas. For this aim, decision‐making research findings about value‐focused decision‐making framework and common heuristics have been discussed. Specifically, the authors propose that explicit teaching of argumentation research should provide students a decision‐making framework in which students can consider their values about a socio‐scientific issue and assess different alternatives as well as incorporate teaching about common heuristics. The authors believe that this incorporation is necessary for a quality student argumentation in socio‐scientific issues.  相似文献   

17.
This study investigated how individuals’ construction of explanations—a way of ascertaining how well an individual understands a concept—develops from an interactive simulation. Specifically, the purpose was to investigate the effect of interactive computer simulations or science textbook assignments on the nature and quality of postgraduate science teachers’ explanations regarding physical phenomena in Mechanics, Waves/Optics, and Thermal Physics. The use of simulations or science textbook assignments was implemented according to the Predict–Observe–Explain model and integrated into a one‐semester conceptual survey course in physics for practising science teachers who served as participants in the study. Data were collected through semi‐structured interviews and were analysed using a qualitative content analysis approach. Results indicate that the use of computer simulations along with the application of the Predict–Observe–Explain model had a positive impact on the nature and quality of science teachers’ explanations. They improved science teachers’ ability to generate scientifically accurate explanations and fostered in‐depth advancement in teachers’ search for explanatory scientific information regarding the physical phenomena under investigation. In addition, teachers’ explanations became more elaborate, reflecting cause‐effect reasoning and formal reasoning.  相似文献   

18.
We propose a framework for examining how teachers may support collective argumentation in secondary mathematics classrooms, including teachers’ direct contributions to arguments, the kinds of questions teachers ask, and teachers’ other supportive actions. We illustrate our framework with examples from episodes of collective argumentation occurring across 2 days in a teacher’s classroom. Following from these examples, we discuss how the framework can be used to examine mathematical aspects of conversations in mathematics classrooms. We propose that the framework is useful for investigating and possibly enhancing how teachers support students’ reasoning and argumentation as fundamentally mathematical activities.  相似文献   

19.
Motivated by the observation that formal logic answers questions students have not yet asked, we conducted exploratory teaching experiments with undergraduate students intended to guide their reinvention of truth-functional definitions for basic logical connectives. We intend to reframe the relationship between reasoning and logic by showing how logic emerges within students’ mathematical activity. This activity entails reflecting on and systematizing their own language use across diverse semantic content. We present categories of students’ untrained strategies for assessing the truth-values for mathematical disjunctions. Students’ initial reasoning heavily reflected content-specific and pragmatic factors in ways inconsistent with the norms and conventions of mathematical logic. Despite this, all student groups reinvented the standard truth-functional definition for simple disjunctions. We demonstrate how this learning depended upon particular forms of reasoning about logic. We also contrast various strategies for assessing quantified disjunctions and their different affordances in students’ mathematical activity.  相似文献   

20.
The argument in this paper has two parallel strands. One describes students’ conceptions of biology; the other uses Habermas’ epistemological framework as a way of suggesting alternative curricular questions. The two strands are brought together, since the research methodology is the situational‐interpretive curriculum orientation, and the findings are considered from this orientation. Thus, the data from the first strand is examined from the second strand, and consequently, new questions arise.

With traditional knowing, science education researchers “know” how students conceive of the science they are learning by having students react to statements of the researcher's conception of science. This way of knowing has been criticized because it depends upon the researcher's set of ways of looking at students’ conceptions. As such, it does not treat students’ knowledge as a first‐order phenomena; knowing is, rather, a second‐order phenomena since it is filtered through another person's conceptions. In this study the Habermasian framework is used as an alternative perspective of knowledge which allows students’ conceptions to be examined at the level at which the conceptions were constructed.

The study suggests that students conceptualize biology from three distinct philosophical positions; but when these positions are considered from the Habermasian framework, they all are examples of the empirical‐analytic tradition. As such, the students’ conceptions have not gone beyond explanatory knowledge, and this raises questions about the curriculum.  相似文献   

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