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Direct linkHong, 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
Download full textWestrick, Paul A.; Marini, Jessica P.; Shmueli, Doron; Young, Linda; Shaw, Emily J.; Ng, Helen – College Board, 2020
In May 2019, College Board published the first national operational SAT® validity study on the new SAT introduced in 2016. Based on data from more than 221,000 students across 169 four-year colleges and universities, the study showed that the SAT was essentially as effective as high school grades in predicting students' college performance and…
Descriptors: College Entrance Examinations, Test Validity, Prediction, Grades (Scholastic)
Hauser, Carl; Thum, Yeow Meng; He, Wei; Ma, Lingling – Educational and Psychological Measurement, 2015
When conducting item reviews, analysts evaluate an array of statistical and graphical information to assess the fit of a field test (FT) item to an item response theory model. The process can be tedious, particularly when the number of human reviews (HR) to be completed is large. Furthermore, such a process leads to decisions that are susceptible…
Descriptors: Test Items, Item Response Theory, Research Methodology, Decision Making
