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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
Liebfreund, Meghan D. – ProQuest LLC, 2014
This purpose of this study was to develop a clearer understanding of the complex, interrelated factors that lead to successful informational text comprehension and to determine if or how these factors vary for higher and lower comprehenders. Participants (N = 177) were in grades three through five and were predominately African American (61%) and…
Descriptors: Reading Comprehension, African American Students, Elementary School Students, Females
Melo, Mário; Miranda, Guilhermina Lobato – Journal of Information Technology Education: Research, 2015
This study was designed to investigate the effects of two instructional approaches (4C-ID versus conventional) on learners' knowledge-acquisition and learning transfer of the electrical circuits content in Physics. Participants were 129 9th graders from a secondary school in Lisbon, M = 14.3 years, SD = 0.54. The participants were divided in two…
Descriptors: Equipment, Teaching Methods, Physics, Science Instruction
D'Amico, Leigh Kale; Miller, Kassie Mae; Dixon, Julia – Charlotte-Mecklenburg Schools, 2013
Charlotte Mecklenburg Schools (CMS) has joined a number of school districts across the country implementing the K-8 model of education. In the 2011-2012 academic year, eight CMS elementary schools integrated middle grades to become PK-8 schools. These schools are part of an evaluation to identify effective practices in the transition process,…
Descriptors: Educational Change, Organizational Change, Best Practices, Models

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