首页|Study Findings on Machine Learning Are Outlined in Reports from University of Ca lifornia (On the paradigms of learning analytics: Machine learning meets epistem ology)
Study Findings on Machine Learning Are Outlined in Reports from University of Ca lifornia (On the paradigms of learning analytics: Machine learning meets epistem ology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Irvine, United States, b y NewsRx journalists, research stated, “Baker et al.” Our news reporters obtained a quote from the research from University of Califor nia: “(2021) recently proposed using a philosophical framework to classify learn ing analytics research in terms of four paradigms. Here I build on their theme o f reflecting on philosophical differences in different approaches to learning an alytics. I first present two limitations of their classification, which raise qu estions for how to best classify different approaches in learning analytics. In an attempt to resolve these questions, I draw upon the bias-variance tradeoff fr om machine learning and show how different learning analytics approaches can be viewed in terms of their positions on the tradeoff. However, I claim that this i s not enough, as we must also be attuned to the underlying epistemologies behind different approaches. I claim a constructivist epistemology for learning analyt ics has been missing, which could, in part, explain Baker et al.’s (2021) observ ation that constructivist work has been relatively absent in established learnin g analytics research communities.”
University of CaliforniaIrvineUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Lear ning
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