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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Al-Tarawneh, Sabri Hassan; Al-Qadi, Haitham Mamdouh – Journal of Education and Practice, 2016
This study aimed at evaluating the 10th grade computerized mathematics curriculum from the perspective of the teachers and supervisors in the southern region in Jordan. The study population consisted of all the teachers who teach the 10th grade in the southern region, with the total of (309) teachers and (20) supervisors. The sample consisted of…
Descriptors: Mathematics Curriculum, Grade 10, Curriculum Evaluation, Supervisors
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Goksu, Idris – Turkish Online Journal of Educational Technology - TOJET, 2016
The aim of this study is to develop the Web Based Expert System (WBES) which provides analyses and reports based on the cognitive processes of Renewed Bloom Taxonomy (RBT), and to put forward the impact of the supportive education provided in line with these reports, on the academic achievement and mastery learning state of the students. The study…
Descriptors: Learning Processes, Cognitive Processes, Taxonomy, Web Based Instruction
Donnelly, Dermot F.; Linn, Marcia C.; Ludvigsen, Sten – Review of Educational Research, 2014
The National Science Foundation-sponsored report "Fostering Learning in the Networked World" called for "a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences." We review research on science inquiry learning environments (ILEs)…
Descriptors: Science Education, Inquiry, Active Learning, Educational Environment
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Archbald, Doug; Keleher, Julia – American Secondary Education, 2008
Despite a decade of advocacy and advances in technology, data driven decision making remains an elusive vision for most high schools. This article identifies key data systems design needs and presents methods for monitoring, managing, and improving programs. Because of its continuing salience, we focus on the issue of tracking (ability grouping).…
Descriptors: Track System (Education), Student Placement, Ability Grouping, Decision Making
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
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Betts, J. David – Afterschool Matters, 2003
More than three million children in the United States participate in some type of after school program (National Study, 1993) offering wide-ranging benefits to children, their families and the community (Pederson, et al, 1998). After school programs of many descriptions provide responsible adult supervision for youth, constructive activities and…
Descriptors: Technology Integration, After School Education, After School Programs, Art Education