首页|Findings from University of Newcastle Yields New Data on Machine Learning (A Rev iew of Machine Learning Methods Used for Educational Data)
Findings from University of Newcastle Yields New Data on Machine Learning (A Rev iew of Machine Learning Methods Used for Educational Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Newcastle, Australia, by NewsR x journalists, research stated, “Integrating machine learning (ML) methods in ed ucational research has the potential to greatly impact upon research, teaching, learning and assessment by enabling personalised learning, adaptive assessment a nd providing insights into student performance, progress and learning patterns. To reveal more about this notion, we investigated ML approaches used for educati onal data analysis in the last decade and provided recommendations for further r esearch.” Financial support for this research came from The University of Newcastle (Austr alia). The news correspondents obtained a quote from the research from the University o f Newcastle, “Using a systematic literature review (SLR), we examined 77 publica tions from two large and high-impact databases for educational research using bi bliometric mapping and evaluative review analysis. Our results suggest that the top five most frequently used keywords were similar in both databases. The major ity of the publications (88%) utilised supervised ML approaches for predicting students’ performances and finding learning patterns. These methods include decision trees, support vector machines, random forests, and logistic re gression. Semi-supervised learning methods were less frequently used, but also d emonstrated promising results in predicting students’ performance.”
NewcastleAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningUniversity of Newcast le
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