954 resultados para Student learning in science


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This book chapter examines the concept of team teaching from the perspective of the various stakeholders, in order to discuss the advantages and disadvantages of team teaching for students, to consider the positive and negative dimensions of collaborative teaching for teachers, and to review the implications for educational administration. In addition, attention will be paid to the issues associated with team teaching in the context of e-learning. The chapter concludes with a case study which discusses how the implementation of collaborative teaching within the library and information science discipline at an Australian university helped develop the authors’ understanding of socially constructed knowledge.

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This two-paper set has arisen from a concern within the Victorian Science in Schools Research Project, to help teachers support student learning of science content. In the first paper, the research on student learning of science conceptions was reviewed, and the major findings presented. It traced the changing ways we have viewed science teaching and learning, over the last two decades. This second paper looks at a variety of teaching schemes that aim to support meaningful learning in science, some based on the metaphor of conceptual change, and draws out principles from these for how we might best support student learning of major science ideas.

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This study draws on recent research on the central role of representation in learning. While there has been considerable research on students’ understanding of evaporation, the representational issues entailed in this understanding have not been investigated in depth. The study explored students’ engagement with evaporation phenomena through various representational modes. The study indicates how a focus on representation can provide fresh insights into the conceptual task involved in learning science through an investigation of students’ responses to a structured classroom sequence and subsequent interviews over a year. A case study of one child’s learning demonstrates the way conceptual advances are integrally connected with the development of representational modes. The findings suggest that teacher-mediated negotiation of representational issues as students construct different modal accounts can support enriched learning by enabling both (a) richer conceptual understanding by students, and (b) enhanced teacher insights into students’ thinking.

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During 2007 several independent Victorian secondary schools participated in a study exploring the ways in which the use of learning technologies can support the development of higher order thinking skills for students. This paper focuses on the use of Information and Communications Technologies (ICT) including Web 2.0 technologies for promoting effective teaching and learning in science. A case study methodology was used to describe how individual teachers used ICT and Web 2.0 in their settings. Data included interviews (focus group and individual), questionnaires, monitoring of teacher and student use of smart tools, analysis of curriculum documents and delivery methods and of student work samples. The evaluation used an interpretive methodology to investigate five research areas'. Higher-order thinking, Metacognitive awareness, Team work/collaboration, Affect towards school/learning and Ownership of learning. Three cases are reported on in this paper. Each describes how student engagement and learning increased and how teachers' attitudes and skills developed. Examples of student and teacher blogs are provided to illustrate how such technologies encourage  students and teachers to look beyond text science.

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This group of papers explores the development of student understanding and application of the discursive tools of science to reason in this subject, as the basis for classroom practices that parallel scientists’ knowledge production practices. We explore how this account of the disciplinary literacies of science can be enabled through effective pedagogies. The papers draw on research from Australia and Sweden that have overlapping agendas and theoretical perspectives including pragmatism (Peirce 1931-58; Dewey 1938/1997), social semiotics (Kress et al. 2001) and socio-cultural perspectives on language and learning (Lemke, 2004). The papers examine the role of language/multimodal representations in generating knowledge claims in science classrooms, the classroom epistemologies that support learning, and assessment practices from this perspective. A large body of conceptual change research has identified trenchant problems in conceptual learning in science, spawning long-standing and ongoing programs to identify pedagogies to address this. By redefining the problem in terms of language and representation, we aim to offer a way forward to support student engagement and learning in science.

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There is evidence that alienation from science is linked to the dominant discourse practices of science classrooms (cf. Lemke, J. L. (1990). Talking Science: Language, Learning, and Values. Norwood, NJ: Ablex). Yet, in secondary science education it is particularly hard to find evidence of curriculum reform that includes explicit changes in pedagogic discourses to accommodate the needs of students from a wide range of backgrounds. However, such evidence does exist and needs to be highlighted wherever it is found to help address social justice concerns in science education. In this article, I show how critical discourse analysis can be used to explore a way of challenging the dominant discourse in teacher-student interactions in science classrooms. My findings suggest a new way of moving toward more socially just science curricula in middle years and secondary classrooms by using hybrid discourses that can serve emancipatory purposes. © 2005 Wiley Periodicals. Inc.

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Thesis (Ph.D.)--University of Washington, 2016-06

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Abstract: Quantitative Methods (QM) is a compulsory course in the Social Science program in CEGEP. Many QM instructors assign a number of homework exercises to give students the opportunity to practice the statistical methods, which enhances their learning. However, traditional written exercises have two significant disadvantages. The first is that the feedback process is often very slow. The second disadvantage is that written exercises can generate a large amount of correcting for the instructor. WeBWorK is an open-source system that allows instructors to write exercises which students answer online. Although originally designed to write exercises for math and science students, WeBWorK programming allows for the creation of a variety of questions which can be used in the Quantitative Methods course. Because many statistical exercises generate objective and quantitative answers, the system is able to instantly assess students’ responses and tell them whether they are right or wrong. This immediate feedback has been shown to be theoretically conducive to positive learning outcomes. In addition, the system can be set up to allow students to re-try the problem if they got it wrong. This has benefits both in terms of student motivation and reinforcing learning. Through the use of a quasi-experiment, this research project measured and analysed the effects of using WeBWorK exercises in the Quantitative Methods course at Vanier College. Three specific research questions were addressed. First, we looked at whether students who did the WeBWorK exercises got better grades than students who did written exercises. Second, we looked at whether students who completed more of the WeBWorK exercises got better grades than students who completed fewer of the WeBWorK exercises. Finally, we used a self-report survey to find out what students’ perceptions and opinions were of the WeBWorK and the written exercises. For the first research question, a crossover design was used in order to compare whether the group that did WeBWorK problems during one unit would score significantly higher on that unit test than the other group that did the written problems. We found no significant difference in grades between students who did the WeBWorK exercises and students who did the written exercises. The second research question looked at whether students who completed more of the WeBWorK exercises would get significantly higher grades than students who completed fewer of the WeBWorK exercises. The straight-line relationship between number of WeBWorK exercises completed and grades was positive in both groups. However, the correlation coefficients for these two variables showed no real pattern. Our third research question was investigated by using a survey to elicit students’ perceptions and opinions regarding the WeBWorK and written exercises. Students reported no difference in the amount of effort put into completing each type of exercise. Students were also asked to rate each type of exercise along six dimensions and a composite score was calculated. Overall, students gave a significantly higher score to the written exercises, and reported that they found the written exercises were better for understanding the basic statistical concepts and for learning the basic statistical methods. However, when presented with the choice of having only written or only WeBWorK exercises, slightly more students preferred or strongly preferred having only WeBWorK exercises. The results of this research suggest that the advantages of using WeBWorK to teach Quantitative Methods are variable. The WeBWorK system offers immediate feedback, which often seems to motivate students to try again if they do not have the correct answer. However, this does not necessarily translate into better performance on the written tests and on the final exam. What has been learned is that the WeBWorK system can be used by interested instructors to enhance student learning in the Quantitative Methods course. Further research may examine more specifically how this system can be used more effectively.

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My paper will focus on the generative potential of categorising asynchronous discussion threads as one strategy for improving the quality of students’ learning in a blended learning module. The approach to categorisation is based on social network analysis using intuitively simple descriptors of message posting patterns e.g. passive facilitator, dominant facilitator, unresponsive star and formulaic discussion. The intention is to produce descriptively vivid illustrative examples of the categories and to begin to suggest affordances of the different participation patterns. Looking forward to the beginning of the next module, it is anticipated that discussion during the module of approaches to participating in asynchronous discussion will contribute to effective engagement patterns and deeper learning.

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While there has been considerable research on children's understanding of evaporation, the representational issues entailed in this understanding have not been investigated in depth. This study explored students' engagement with evaporation phenomena through various representational modes. Primary school classroom sequences and structured interviews shortly after, and a year later, indicated significant advances in learning flowing from negotiation of meaning around particle representations. A case study of one child's learning is used to demonstrate how a molecular distribution representation can offer the possibility of significant advances in children's thinking about evaporation. The findings suggest that teacher-mediated negotiation of representational issues can support enriched student learning

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This study explores the effects of modeling instruction on student learning in physics. Multiple representations grounded in physical contexts were employed by students to analyze the results of inquiry lab investigations. Class whiteboard discussions geared toward a class consensus following Socratic dialogue were implemented throughout the modeling cycle. Lab investigations designed to address student preconceptions related to Newton’s Third Law were implemented. Student achievement was measured based on normalized gains on the Force Concept Inventory. Normalized FCI gains achieved by students in this study were comparable to those achieved by students of other novice modelers. Physics students who had taken a modeling Intro to Physics course scored significantly higher on the FCI posttest than those who had not. The FCI results also provided insight into deeply rooted student preconceptions related to Newton’s Third Law. Implications for instruction and the design of lab investigations related to Newton’s Third Law are discussed.