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Hong, Jeehye; Kim, Hyunjung; Hong, Hun-Gi – Asia-Pacific Science Education, 2022
This study explored science-related variables that have an impact on the prediction of science achievement groups by applying the educational data mining (EDM) method of the random forest analysis to extract factors associated with students categorized in three different achievement groups (high, moderate, and low) in the Korean data from the 2015…
Descriptors: Science Achievement, Prediction, Teaching Methods, Science Teachers
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Eser, Mehmet Taha; Çobanoglu Aktan, Derya – International Journal of Educational Methodology, 2021
Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD)…
Descriptors: Data Analysis, Learning Analytics, Science Education, Scores
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Annika Rigole; Sonakshi Sharma; Jessica Bergmann – UNICEF Innocenti - Global Office of Research and Foresight, 2023
Recognizing that children's learning outcomes generally remain low, in its recent 2017--2021 Education and Skills Sector Plan (ESSP) the Government of Zambia prioritized improving learning outcomes through strategies that addressed gaps in education system quality, access, equity and efficiency. What resources and contextual factors are associated…
Descriptors: School Effectiveness, Outcomes of Education, Educational Strategies, Access to Education