40,404 research outputs found

    The discovery laboratory – A student-centred experiential learning practical: Part I – Overview

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    Chemical Engineering’s Discovery Laboratory at Imperial College London is a practical teaching programme designed specifically to support student-centred learning at an advanced level, bridging the gap between instructions driven lab experiments and fully open ended research. In the first part of this article we present an overview of this programme with particular attention given to the design of the pedagogical framework and the execution of teaching. The teaching goal is delivered by in-depth experiential learning, where students are assigned a specific subject area to conduct their own research within a set timeframe and boundary conditions that guarantee a successful learning outcome. Academic supervisors and teaching assistants play an important role in this process, where they provide students with continuing guidance throughout. The use of research or industrial grade equipment ensures the students’ preparation for their final year research project as well as their post-graduation careers. In addition to summative assessments, students also receive formative feedback periodically from academic supervisors and teaching assistants. The Discovery Laboratory has received positive feedback from both teachers and students since its inauguration in 2011 and here we share some useful insights for the execution of such a practical teaching programme

    Designing experiments using digital fabrication in structural dynamics

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    In engineering, traditional approaches aimed at teaching concepts of dynamics to engineering students include the study of a dense yet sequential theoretical development of proofs and exercises. Structural dynamics are seldom taught experimentally in laboratories since these facilities should be provided with expensive equipment such as wave generators, data-acquisition systems, and heavily wired deployments with sensors. In this paper, the design of an experimental experience in the classroom based upon digital fabrication and modeling tools related to structural dynamics is presented. In particular, all experimental deployments are conceived with low-cost, open-source equipment. The hardware includes Arduino-based open-source electronics whereas the software is based upon object-oriented open-source codes for the development of physical simulations. The set of experiments and the physical simulations are reproducible and scalable in classroom-based environments.Peer ReviewedPostprint (author's final draft

    Research and practice: Bridging the gap or changing the focus?

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    Bridging the gulf that tends to persist between research in mathematics education and mathematics teaching practice is a timely issue. This comment addresses the impact of research not only on teachers’ practices and the curriculum, but also on students’ practices, teacher education practices, the educational market, and the society at large. It argues that for research to bring about changes in mathematics teaching and learning we need to act at a systemic level. It also argues that if we want to have a real influence on practice, we need to see that as a problem on itself. It concludes indicating that our con-fidence in the power of research to understand phenomena and intervene in practice must be combined with an attitude of social responsiveness, working closely with different social partners and being critical and reflective about what we do.Tapar o fosso que tende a persistir entre a investigação na educação matemática e a prática de ensino é uma questão urgente. Este comentário debruça-se sobre o impacto da investigação não apenas nas práticas de ensino dos professores e no currículo, mas também nas práticas dos alunos, nas práticas de formação de professores, no mercado educacional, e na sociedade em geral. Argumenta que, para que a investigação traga mudanças no ensino e na aprendizagem da Matemática, é necessário agirmos ao nível sistémico. Também argumenta que, se quisermos ter uma influência real na prática, precisamos de ver que isso constitui um problema em si mesmo. O artigo conclui indicando que a nossa confiança no poder da investigação para compreender os fenómenos e intervir na prática deve ser combinado com uma atitude de responsabilidade social, trabalhando estreitamente com diferentes parceiros sociais e sendo críticos e reflexivos em relação ao nosso próprio trabalho

    African Universities: Stories of Change

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    Profiles successful foundation initiatives in Ghana, Kenya, Mozambique, Nigeria, South Africa, Tanzania, and Uganda that are reforming the higher education landscape in Africa

    Bridging the Gap in Physics Education

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    Over the past few years there has been a growing interest in the possible benefits of computer simulations in physics education. However, very little research has been conducted on how computer simulations can actually be integrated into a physics program (Zacharia & Anderson, 2003). This research investigated the effects of computer simulations on the development of accurate mental models when used in conjunction with traditional laboratory-based experiments. Since laboratory experiments can often have results that are very difficult to observe, these results only become evident to the trained eye of an expert. Computer simulations are able to present phenomena free of the normal distractions that occur during traditional laboratory-based experiments. Through the analysis of post-tests, questionnaires, and student interviews conducted in a high school physics class, it was shown that when computer simulations are used in conjunction with traditional laboratory activities students appear to make accurate revisions to their naive mental models of motion. The results also indicate that the majority of the students believe that the computer simulations assisted in the clarification of the laboratory results and allowed them to more fully understand the theoretical concepts being presented in the laboratory investigation

    From inanimate matter to living systems

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    Since the early part of this century, the Genesis account of the origin and evolution of life has been explained as an extrapolation of astronomical and geochemical processes. The essence of the answer to date is a protoreproductive protocell of much biochemical and cytophysical competance. The processes of its origin, molecular ordering, and its functions are described. A crucial understanding is that of the nonrandomness of evolutionary processes at all stages (with perhaps a minor statistical component). In this way, evolution conflicts with statistical randomness; the latter is a favorite assumption of both scientific and creationistic critics of the proteinoid theory. The principle contribution of the proteinoid theory to the understanding of general biology is to particularize the view that evolutionary direction is rooted in the shapes of molecules, in stereochemistry. After molecules of the right kind first assembled to protocells, life in its various stages of evolution was an inevitable consequence. It is molecules that continue to assemble as part of living process and, in the role of enzymes, continue to direct life cycle of the cell
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