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Mingyu Feng; Gary Weiser; Kelly Collins – WestEd, 2024
This report delves into the cost and effectiveness of the ASSISTments program as an online math support tool. Aiming to replicate previous findings, the study focused on the impact of ASSISTments on student learning in seventh-grade classrooms. The report outlines the study's objectives, setting, and participants alongside the study design,…
Descriptors: Costs, Cost Effectiveness, Mathematics Instruction, Educational Technology
Mingyu Feng; Chunwei Huang; Kelly Collins – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. Many districts adopted educational technology programs to support student learning and teacher instruction. The ASSISTments program provides feedback to students as they solve homework problems and automatically prepares reports for teachers about student performance on daily…
Descriptors: Grade 7, Students, Mathematics Instruction, Homework
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Mingyu Feng; Chunwei Huang; Kelly Collins – Society for Research on Educational Effectiveness, 2023
Context: The use of educational technology for improving K-12 math education has expanded dramatically recently. ASSISTments (Heffernan & Heffernan, 2014), a widely used digital platform, has seen its use in schools increase significantly from 800 to 20,000 teachers over the past two years. A review of evidence-based online programs by the…
Descriptors: Mathematics Instruction, Homework, Intervention, Educational Technology
Guerreiro, Meg – ProQuest LLC, 2017
Technology may play a critical role in impacting student engagement, specifically within an assessment context. Using a mixed methods approach, I examined the relationship between varying degrees of technology-enhancements applied in a mathematics performance task on the outcome of student cognitive engagement. Using a counterbalanced…
Descriptors: Influence of Technology, Technology Uses in Education, Middle School Students, Secondary School Mathematics
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Bender, Caroline; Bull, Prince Hycy – Journal on School Educational Technology, 2012
This study examined the effects of the use of a non-linear multimedia presentation model, Prezi, on middle school students' attitude toward learning science, engagement in school science, and the impact on learning science. Prezi was used as the primary instructional model for an intensive six-week intervention period in seventh grade science…
Descriptors: Middle School Students, Secondary School Science, Student Attitudes, Science Instruction