Journal of Data Science · 2021 · 20 citations · 15 references
EducationEducational AssessmentEducational MeasurementData MiningEducational Data MiningScience AssessmentAssessment AnalyticsComputer-based Science AssessmentData AnalysisAcademic Achievement AssessmentAcademic Achievement ComparisonData Mining EducationLearner Performance PredictionScience Achievement ScoringStudent Data AnalysisStudent Performance AnalysisStudent Performance Data Analysis
According to 2006 Programme for International Student Assess ment (PISA), sixteen Organization for Economic Cooperation and Develop ment (OECD) countries had scores that were significantly higher than the US. The top three performers were Finland, Canada, and Japan. While Finland and Japan are vastly different from the US in terms of cultures and educational systems, the US and Canada are similar to each other in many aspects, thus their performance gap was investigated. In this study data mining was employed to identify factors regarding access to and use of resources, as well as student views on science for predicting PISA science scores among Grade 10 American and Canadian students. It was found that science enjoyment and frequent use of educational software play important roles in the academic achievement of Canadian students.
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Discovering knowledge in data: an introduction to data mining
Choice Reviews Online · 2005 · 1.4K citations
PISA 2006: Science Competencies for Tomorrow's World
Andreas Schleicher · 2007 · 770 citations
Education, Science Education, Science Curriculum Studies +13