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Download full textHashim, Shirin A.; Kelley-Kemple, Thomas; Laski, Mary E. – Annenberg Institute for School Reform at Brown University, 2023
We propose a new method for estimating school-level characteristics from publicly available census data. We use a school's location to impute its catchment area by aggregating the nearest "n" census block groups such that the number of school-aged children in those "n" block groups is just over the number of students enrolled…
Descriptors: Institutional Characteristics, Schools, Computation, Census Figures
Peer reviewedNie Hui Ling; Chwen Jen Chen; Chee Siong Teh; Dexter Sigan John; Looi Chin Ch'ng; Yoon Fah Lay – International Journal of Technology in Education, 2023
Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. This study explored EDM in online learning publication trends and focuses. It involved a bibliometric analysis of 615 scholarly works related to EDM in online…
Descriptors: Information Retrieval, Data Analysis, School Statistics, Educational Indicators
Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
