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Grosse, Scott D.; Nichols, Phyllis; Nyarko, Kwame; Maenner, Matthew; Danielson, Melissa L.; Shea, Lindsay – Journal of Autism and Developmental Disorders, 2022
Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD.…
Descriptors: Autism, Pervasive Developmental Disorders, Data Use, Databases
Dermentzi, Eleni; Zotou, Maria; Tambouris, Efthimios; Tarabanis, Konstantinos – Education and Information Technologies, 2022
With Open Data becoming more popular and more public bodies publishing their datasets, the need for educating prospective graduates on how they can use them has become prominent. This study examines the use of the Problem Based Learning (PBL) method and educational technologies to support the development of Open Data skills in university students.…
Descriptors: Problem Based Learning, Educational Technology, Data, Data Use
Jeremy Seeman; Aaron R. Williams; Claire McKay Bowen – Urban Institute, 2025
The Nebraska Statewide Workforce & Educational Reporting System (NSWERS) is a state longitudinal data system (SLDS) that coordinates data sharing, processing, and dissemination efforts across the Nebraska public school systems, Nebraska community colleges, the University of Nebraska system, the Nebraska Department of Labor, and other statewide…
Descriptors: Privacy, Access to Information, Data, State Programs
Addison Duane; Quinn Hafen; Luca Morales; Tiffany M. Jones; Valerie B. Shapiro – Journal of Educational Change, 2025
School climate surveys are frequently used to collect information about student experiences in school. Less is known about how educators use survey data after survey administration. This paper explores one school district's critical use of evidence to promote equitable change. We conducted eight semi-structured interviews with district and school…
Descriptors: Data Use, Student Attitudes, School Surveys, School Culture
Jing Chen; Tianhui Chen – Journal of Computer Assisted Learning, 2025
Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…
Descriptors: Educational Change, Higher Education, Universities, Supervision
Bogdan Simion; Lisa Zhang; Giang Bui; Hancheng Huang; Ramzi Abu-Zeineh; Shrey Vakil – ACM Transactions on Computing Education, 2025
Although ample research has focused on computing skill development over a single course or specific programming language, relatively little attention is paid to how computing skills evolve across a program. Our work aims to understand how specific skills develop throughout a progression of CS courses. We use qualitative content analysis to catalog…
Descriptors: Skill Development, Computer Science Education, Computer Literacy, Prerequisites
Lisa Didion; Lauren Bruno; Gianna Marshall; Jordan Immerfall; Amanda Kunkel; Jennifer McGinn – Career Development and Transition for Exceptional Individuals, 2025
Intervention studies focused on improving reading outcomes are scarce for postsecondary students with disabilities. Historically, comprehensive transition and postsecondary education programs (CTPs) for students with disabilities focused on employment, living, personal, and social skills over academic instruction. Recently, there is an emphasis to…
Descriptors: Postsecondary Education, College Students, Students with Disabilities, Data Use
Sally Boyd; Melissa Denzler; Mengnan Li; Rachel Bolstad – New Zealand Council for Educational Research, 2025
This report presents a summary of results from a 2024 survey of School Boards, developed by NZCER in collaboration with Te Whakaroputanga Kaitiaki Kura o Aotearoa--New Zealand School Boards' Association, and with assistance from the Kokirihia Collective. NZCER plans to use the findings to inform the school professional learning and development…
Descriptors: Foreign Countries, Boards of Education, Equal Education, Evaluation
Juan D’Brot – National Center for the Improvement of Educational Assessment, 2025
Only weeks into its new term, the Trump administration has taken steps to lay off federally funded education research staff, cancel nearly $1 billion in contracts and dismantle the U.S. Department of Education. These moves have upended evaluations of federally funded education programs and threatened access to massive data sets that states,…
Descriptors: Data Use, Decision Making, Capacity Building, Data Analysis
Kim DuMont – William T. Grant Foundation, 2025
Using research evidence to guide higher education policies and practice may help to promote rich learning experiences and long-term success for all students. This essay explores paths for research on the use of research evidence in higher education and proposes three considerations for researchers engaging in this work. First, to improve the…
Descriptors: Higher Education, Educational Research, Data Use, Decision Making
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
Rick A. Hudson; Gemma F. Mojica; Hollylynne S. Lee; Stephanie Casey – Computers in the Schools, 2025
Innovative dynamic data tools afford opportunities for K-12 students and teachers to explore multivariate data and create linked data representations. These tools also support engagement in data moves, which are transnumerative actions to process, organize, and visualize data. The current study sought to understand how prospective K-12 mathematics…
Descriptors: Statistics Education, Visualization, Data Science, Preservice Teachers
Schneider, Jack; Gottlieb, Derek – Educational Theory, 2021
State and federal policymakers "see" school performance via formal measures -- data collected with attendance sheets and standardized tests. Such an approach, though not without its merits, is extremely limited and inherently exposed to the threat of systematic misperception and unintended consequences, especially as policymakers try to…
Descriptors: Accountability, Education, Governance, Educational Assessment
Menglin Xu; Jessica A. R. Logan – Educational and Psychological Measurement, 2024
Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…
Descriptors: Research Design, Research Methodology, Monte Carlo Methods, Statistical Analysis
Yingchen Wang – SAGE Open, 2024
Surveys are typical for student evaluation of teaching (SET). Survey research consistently confirms the negative impacts of careless responses on research validity, including low data quality and invalid research inferences. SET literature seldom addresses if careless responses are present and how to improve. To improve evaluation practices and…
Descriptors: Student Evaluation of Teacher Performance, Responses, Validity, Data Use

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