1,897,047 research outputs found

    Making Sense of the Built Environment Handout Drafts

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    Workshop exercises adapted from Roger Williams University to be used as part of the RISD Summer Teachers\u27 Academy Making Sense of the Built Environment.https://digitalcommons.risd.edu/archives_tlad_pnddocs/1008/thumbnail.jp

    Annual Report to Health and Education Leadership for Providence (H.E.L.P.)

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    Narrative summary of arts education programming as part of Project New Directions, describing students\u27 and teachers\u27 engagement.https://digitalcommons.risd.edu/archives_tlad_pnddocs/1006/thumbnail.jp

    Design in Hand Proposal

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    Proposal for a professional development workshop centered around the Design in Hand exhibition at Providence Art Club.https://digitalcommons.risd.edu/archives_tlad_pnddocs/1010/thumbnail.jp

    Correspondence from U.S. Department of Education

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    Letter from the United States Department of Education\u27s Fund for the Improvement of Postsecondary Education (FIPSE) to TLAD director Paul Sproll in response to the submission of a final report for Project New Directionshttps://digitalcommons.risd.edu/archives_tlad_pnddocs/1009/thumbnail.jp

    The 'what' and 'how' of learning in design, invited paper

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    Previous experiences hold a wealth of knowledge which we often take for granted and use unknowingly through our every day working lives. In design, those experiences can play a crucial role in the success or failure of a design project, having a great deal of influence on the quality, cost and development time of a product. But how can we empower computer based design systems to acquire this knowledge? How would we use such systems to support design? This paper outlines some of the work which has been carried out in applying and developing Machine Learning techniques to support the design activity; particularly in utilising previous designs and learning the design process

    Design descriptions in the development of machine learning based design tools

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    Applications of machine learning technologies are becoming ubiquitous in many sectors and their impacts, both positive and negative, are widely reported. As a result, there is substantial interest from the engineering community to integrate machine learning technologies into design workflows with a view to improving the performance of the product development process. In essence, machine learning technologies are thought to have the potential to underpin future generations of data-enabled engineering design system that will deliver radical improvements to product development and so organisational performance. In this paper we report learning from experiments where we applied machine learning to two shape-based design challenges: in a given collection of designed shapes, clustering (i) visually similar shapes and (ii) shapes that are likely to be manufactured using the same primary process. Both challenges were identified with our industry partners and are embodied in a design case study. We report early results and conclude with issues for design descriptions that need to be addressed if the full potential of machine learning is to be realised in engineering design

    ESRC-DFID Research for Policy and Practice: Disability and Education

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    This collection of ESRC–DFID funded research provides new evidence on what governments must consider in order to ensure that children with disabilities benefit from quality education without discrimination or exclusion.This research contains excellent, globally relevant and contextually grounded evidence of how the education sector can plan and design policies with a lasting impact for children with disabilities. It highlights the value of a study led by deaf researchers in India; explores school-readiness in Malawi; offers greater understanding of the experiences and challenges faced by children with disabilities within the classroom across six countries; and advances strategies on how to support the learning and teaching of children facing multiple disadvantages, including disabilities, in India and Pakistan.ESRC-DFI

    Developing Students' Activity Through Role Play Method By Using Interview Technique on 11th Grade at SMA Melati Binjai North Sumatera Province

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    This research paper elucidates the effective utilization of role-play as a pedagogical tool to cultivate an immersive experiential learning milieu tailored for postgraduate scholars enrolled in courses focused on comparative evaluation theory and/or evaluation procedures. The integration of meticulously crafted role-play exercises within each of these courses serves to augment the level of student participation, consequently fostering a heightened degree of engagement with the course material. By immersing students in these role-play scenarios, the approach transcends the boundaries of conventional learning, facilitating a profound comprehension of the subject matter through active participation.The intricate role-play exercises outlined within the paper are characterized by their intricate design, ensuring students' active involvement in the learning process. These exercises are strategically developed to propel students beyond the confines of textual analysis, encouraging them to delve into experiential learning. By propelling students to think beyond the mere words they encounter in reading materials, the exercises stimulate critical thinking and creative problem-solving. Furthermore, the experiential nature of the exercises provides a secure environment for students to embrace a "learning by doing" ethos. This not only nurtures their understanding but also cultivates a sense of safety that emboldens them to explore and experiment without the fear of failure. Keywords: roleplay; interview technique &nbsp
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