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Download full textBosch, 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
Direct linkIddings, Ana Christina DaSilva; Rose, Brian Christopher – Pedagogies: An International Journal, 2012
This study draws on the application of sociocultural theory to second-language learning and teaching to examine the impact of a design-based research approach on teacher development and literacy instruction to English-language learners (ELLs). Design-based research methodology was employed to derive theoretical suppositions relating to the process…
Descriptors: English Language Learners, Educational Practices, Professional Development, Second Language Instruction
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
