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Download full textJuan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
Tennessee Higher Education Commission, 2024
The 2024 Articulation and Transfer Report provides an update on the progress made toward full articulation between public institutions in Tennessee. This report uses data from National Student Clearinghouse Student Tracker (NSC), the Tennessee Higher Education Commission's Student Information System (THECSIS), and the Tennessee Board of Regents…
Descriptors: Articulation (Education), Higher Education, Data Analysis, Transfer Rates (College)
Peer reviewed
Direct linkKinnebrew, John S.; Segedy, James R.; Biswas, Gautam – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
Slawson, Deborah L.; Southerland, Jodi; Lowe, Elizabeth F.; Dalton, William T.; Pfortmiller, Deborah T.; Schetzina, Karen – Journal of School Health, 2013
Background: School-based interventions hold promise for child obesity prevention. Implemented as a part of the "Winning with Wellness" obesity prevention project, the "Go Slow Whoa" meal pattern (GSW) was designed to promote healthier foods in school cafeterias. This investigation determined perceived program effectiveness and…
Descriptors: Teacher Attitudes, Health Promotion, Food, Food Service
ACT, Inc., 2012
Annually, ACT provides a snapshot of the college and career readiness of ACT-tested high school graduates. This report is offered as a service to inform policymakers and practitioners about selected indicators of effectiveness and how that translates into readiness. It is designed to stimulate discussion, inquiry, and action. This report is…
Descriptors: Academic Achievement, Academic Aspiration, Academic Persistence, Academic Standards
