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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Corcoran, Thomas B. – Consortium for Policy Research in Education, 2008
This is the first report on the evaluation of the Inquiry Based Science and Technology Education Program (IN-STEP), an innovative and ambitious science education initiative for lower secondary schools being undertaken by a public-private partnership in Thailand funded by MSD-Thailand, an affiliate of Merck & Co. IN-STEP is a public-private…
Descriptors: Feedback (Response), Schools of Education, Evaluators, Science Interests