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    A computing education challenge on information retrieval impact and pedagogic research

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    Authors
    Feng, Xiaohua
    Affiliation
    University of Bedfordshire
    Issue Date
    2023-11-01
    Subjects
    Information retrieval
    
    Metadata
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    Abstract
    This approach had been crossed subject area, involved with PG and UG students at CSEE of HEI, School of Art, private companies, NHS, and so on; including Copilot, Canvas, ChatGPT, Midjourney, DiscoDisuffsion, Med-PaLM, Bard etc. on Information Retrieval. As an updated generalised Information Retrieval experient, most of the work were emphases on information data effective collection and security storage effectively. We were focused on the positive impact on UK HEI Education and Pedagogic Research. Further development will be on data analysis and shown the updated results. Furthermore, to suggest a Teaching & Learing strategy, and suggestion to serve both HEI and the non-HEI users in our society in the world
    Citation
    Feng X (2023) 'A computing education challenge on information retrieval impact and pedagogic research', 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications - Exeter.
    URI
    http://hdl.handle.net/10547/626443
    Additional Links
    https://hpcn.exeter.ac.uk/trustcom2023/#:~:text=The%20IEEE%20TrustCom-2023%20%2822nd%20IEEE%20International%20Conference%20on,to%20trust%2C%20security%2C%20privacy%2C%20reliability%2C%20dependability%2C%20survivability%2C%20availabil
    Type
    Presentation
    Language
    en
    Collections
    Computing

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