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Wen-Chiang Ivan Lim; Neil T. Heffernan III; Ivan Eroshenko; Wai Khumwang; Pei-Chen Chan – Grantee Submission, 2025
Intelligent tutoring systems are increasingly used in schools, providing teachers with valuable analytics on student learning. However, many teachers lack the time to review these reports in detail due to heavy workloads, and some face challenges with data literacy. This project investigates the use of large language models (LLMs) to generate…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Assignments, Learning Management Systems
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David E. DeMatthews; Jinseok Shin – National Education Policy Center, 2025
Since most U.S. states rely heavily on per-pupil funding models, projected decreases in school-aged children through 2030 and rapidly expanding private school voucher policies have raised concerns about potentially inadequate public school funding. A recent EdChoice report suggests that such underfunding concerns are overstated. Its rationale is…
Descriptors: Declining Enrollment, Enrollment Trends, Educational Finance, School Districts
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Eduardo Davalos; Yike Zhang; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin – Grantee Submission, 2025
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…
Descriptors: Natural Language Processing, Learning Analytics, Reading Tests, Reading Comprehension
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Farley-Ripple, Elizabeth N.; Jennings, Austin; Jennings, Amanda B. – School Effectiveness and School Improvement, 2021
Test-based accountability policy in the US has resulted in increased availability and use of assessment systems to support instructional decision making. Though limited, literature to date suggests an important role for these systems as tools, mediating teacher knowledge and action. We examine system log data from NWEA's MAP assessment to better…
Descriptors: Achievement Tests, Data Use, Information Systems, Reports
Center for IDEA Early Childhood Data Systems (DaSy), 2025
The purpose of this brief is to increase states' awareness of national data resources that can support states in sharing, linking, integrating, and using data on young children with disabilities to enhance the provision of early intervention (EI) and early childhood special education (ECSE) services. The audience for this brief includes states'…
Descriptors: Students with Disabilities, Young Children, Early Intervention, Data
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Greer, Lucas; Steiner, Elizabeth D. – RAND Corporation, 2023
The urgent need to help students -- and particularly students who are Black or Hispanic -- recover from the negative effects of the coronavirus disease 2019 (COVID-19) pandemic on mathematics learning and access equitable opportunities in mathematics will require that teachers use every available tool to diagnose student learning needs and…
Descriptors: Mathematics Teachers, Data Use, Student Characteristics, Access to Information
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Stephen Q. Cornman; Osei Ampadu; Kaitlin Hanak; Stephen Wheeler – National Center for Education Statistics, 2024
This First Look report presents data on public elementary and secondary education revenues and expenditures at the local education agency (LEA) or school district level for fiscal year (FY) 2022. Specifically, this report includes the following types of school district finance data: (1) revenue, current expenditure, and capital outlay expenditure…
Descriptors: Income, Expenditures, Public Schools, Elementary Secondary Education
Clare Waterman; Katherine Shields; Tracy McMahon – Education Development Center, Inc., 2022
This Toolkit presents lessons learned from the process of implementing a new system for collecting student-level work-based learning (WBL) data in high school career and technical education (CTE) programs. As part of a study on career academies and WBL, a research team worked closely with a district CTE office and school staff to design and…
Descriptors: Vocational Education, Work Experience Programs, Data Collection, Goal Orientation
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Eryn Y. Van Acker – ProQuest LLC, 2020
Restraint and seclusion are two crisis intervention practices that educators employ to manage students who display escalated behavior. These procedures, however, are high-risk, intensive practices that have resulted in psychological trauma, physical injury, and even death. While there are no federal laws in place on this topic, the U.S. Department…
Descriptors: Data Use, Decision Making, Intervention, Student Behavior
National Forum on Education Statistics, 2023
This guide is designed for use by school, district, and state education agency staff to improve the effectiveness of efforts to collect and use discipline data, including reporting accurate and timely data to the federal government. It explains the importance of collecting discipline data, identifies key considerations for agencies implementing…
Descriptors: Discipline, Data Collection, Data Analysis, School Districts
Pechota, Damion; Brixey, Emily; Perez, Zeke, Jr. – Education Commission of the States, 2020
High school feedback reports can allow states, districts and schools to evaluate the transition of students from high school to postsecondary education. These reports or data systems contain a variety of information on a state's high school graduates, including postsecondary enrollment data, developmental education needs and first year…
Descriptors: High Schools, Feedback (Response), Reports, College Bound Students
Office of Inspector General, US Department of Education, 2023
In accordance with the Reports Consolidation Act of 2000, the OIG reports annually on the most serious management and performance challenges the Department faces. For FY 2024, we identified seven management challenges for the Department: (1) Implementing pandemic relief laws for elementary and secondary education; (2) Implementing pandemic relief…
Descriptors: Federal Programs, Educational Finance, Student Financial Aid, Pandemics
Advance CTE: State Leaders Connecting Learning to Work, 2020
The Strengthening Career and Technical Education for the 21st Century Act (Perkins V) pushes states to improve the public accessibility of Career Technical Education (CTE) data. According to the law, state agencies, as well as local recipients, must share data on the performance of all CTE students, and subgroups of learners, and make this…
Descriptors: Vocational Education, Federal Legislation, Educational Legislation, Data Collection
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