59,078 research outputs found

    Pointless learning

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    Bayesian inversion is at the heart of probabilistic programming and more generally machine learning. Understanding inversion is made difficult by the pointful (kernel-centric) point of view usually taken in the literature. We develop a pointless (kernel-free) approach to inversion. While doing so, we revisit some foundational objects of probability theory, unravel their category-theoretical underpinnings and show how pointless Bayesian inversion sits naturally at the centre of this construction

    Pointless learning (long version)

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    International audienceBayesian inversion is at the heart of probabilistic programming and more generally machine learning. Understanding inversion is made difficult by the pointful (kernel-centric) point of view usually taken in the literature. We develop a pointless (kernel-free) approach to inversion. While doing so, we revisit some foundational objects of probability theory, unravel their category-theoretical underpinnings and show how pointless Bayesian inversion sits naturally at the centre of this construction

    Pointless learning (long version)

    Get PDF
    International audienceBayesian inversion is at the heart of probabilistic programming and more generally machine learning. Understanding inversion is made difficult by the pointful (kernel-centric) point of view usually taken in the literature. We develop a pointless (kernel-free) approach to inversion. While doing so, we revisit some foundational objects of probability theory, unravel their category-theoretical underpinnings and show how pointless Bayesian inversion sits naturally at the centre of this construction

    How do different student constituencies (not) learn the history and philosophy of their subject? Case studies from science, technology and medicine

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    [FIRST PARAGRAPH] Why should H.E. teachers concern themselves with how their students do or don’t learn? Much has been said recently about the alleged merits and demerits of ‘student-centred’ learning, especially on the extent to which student autonomy in the learning process is beneficial to their long-term interests. This paper is a not a contribution to that debate. Rather it focuses on how teachers might uphold their conventional educational responsibilities but make their role more effective. Its central thesis is that this role is most effective when treated not so much as the ‘teaching’ of students as the process of helping students to learn. This particular study concerns how university students of science, technology and medicine (STM) can be helped to learn the history and philosophy of their respective subject from practitioners in the history and philosophy of science, technology and medicine. But I will not be focussing on those students (sometimes the majority) who have no trouble learning to think in historical and philosophical ways about their subject. They are not the ones who require most help from us. More importantly, I look at those students who—despite the best efforts of their teachers—find the historical or philosophical sensibility to be difficult, repellent, uninteresting, irrelevant, pointless or simply weird. In the worst case scenario such students learn nothing substantial or valuable from classes in the history and philosophy of their subject, and become bored, alienated or hostile to the whole enterprise

    Attitudes towards reflective practice: emerging findings from a TQEF study

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    Addressing the learners' needs for specific and constructive feedback

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    This paper discusses an on-going project which proposes to make feedback to students more personal, explicit and more useful as a method of further engaging students. It addresses an issue that has recently been identified by the researchers where students on an Engineering programme were not recognising the presence of feedback on their assessed work. Feedback is central to the process of learning. However it has been widely accepted, through tools such as the UK National Student Survey, that students are still relatively dissatisfied with the feedback they have received. There is therefore a need to ensure that feedback given to students is specific and constructive in terms of helping them move their own learning forward. A pilot is being carried out with two Engineering classes, offering students the option to request specific feedback on their class tests. The students are asked to identify the areas of their work they require feedback on through the completion of a ‘feedback request label’. Staff can then respond to the feedback requests and issue students with personal and relevant feedback. Initial findings from the project have shown students to have clear expectations regarding the type of feedback they want. Students identified that they expect clear and legible feedback, which draws together feedback comments from throughout their work and provides a summary of how they could move forwards. Findings have also identified some differences in expectations and perceptions of feedback between the Level 3 and Level 4 students involved in the project
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