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Philosophical Tools for Educational Culture: Reconstructing Data and Assessment Practices.

Assessment practices have come to dominate much of formalized education, especially within the United States. Currently, learning analytics (LA) and educational data mining (EDM) are purported by many educational companies and institutions to successfully improve learning through what are often cons...

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Published in:Contemporary Pragmatism Vol. 20; no. 1/2; pp. 140 - 150
Main Author: Tschaepe, Mark
Format: Article
Published: Brill Academic Publishers 2023
Subjects:
Educational technology
Big data
Data mining
Educational evaluation
Educational innovations
Online Access:View this record in EBSCOhost
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        au: Tschaepe, Mark
        affil: Associate Professor of Philosophy, Prairie View A&M University, Prairie View, TX, USA
      su:
        Educational technology
        Big data
        Data mining
        Educational evaluation
        Educational innovations
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          Educational technology
          Big data
          Data mining
          Educational evaluation
          Educational innovations
      keyword:
        data mining
        digital assessment
        education
        philosophy of technology
        productive pragmatism
      ab: Assessment practices have come to dominate much of formalized education, especially within the United States. Currently, learning analytics (LA) and educational data mining (EDM) are purported by many educational companies and institutions to successfully improve learning through what are often considered as objective collection, classification, and analysis of educational data. Enthusiasm about big data in education has contributed to the naturalization of datafication within the field. Educational data is regarded as a natural resource that exists 'out there' to be mined by EDM and refined by LA. Once refined, it is thought to bear the truth of educational assessment that leads to successful learning outcomes.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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