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Cashiola, Lizzy; Cigarroa Kennedy, Camila; Molina, Mauricio; Ma, Hao; Varghese, Lebena – Houston Education Research Consortium, 2022
The number of English learners (ELs) who do not reclassify as English proficient after the first five years of schooling has increased in the Houston area and the state of Texas. ELs are a diverse population of students with varying levels of English proficiency. Many students who begin school as an EL reclassify as English proficient in a timely…
Descriptors: English Language Learners, Middle School Students, High School Students, Classification
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Xu, Jianzhong; Corno, Lyn – Educational Psychology, 2022
The current investigation used latent profile analysis (LPA) to categorise students according to their strategies for managing mathematics homework. A sample of 918 Chinese students in grades 7-9 rated their use of seven homework management strategies; namely, arranging the environment, managing time, monitoring motivation, managing emotion,…
Descriptors: Homework, Metacognition, Learning Strategies, Mathematics Achievement
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Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
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Joshi, Ela – American Educational Research Journal, 2023
Reclassification is a crucial outcome for English learner (EL) students' academic progress. Though ELs spend a large portion of their academic time with general education teachers, we know little about the role general education teachers play in developing ELs' English language proficiency. Drawing from a longitudinal administrative dataset from…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis