Publication Date
| In 2025 | 16 |
| Since 2024 | 52 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Administrators | 2 |
| Policymakers | 1 |
| Teachers | 1 |
Location
| Arizona | 2 |
| Canada | 2 |
| Chile | 2 |
| Europe | 2 |
| Kansas | 2 |
| Missouri | 2 |
| United States | 2 |
| Africa | 1 |
| Asia | 1 |
| Australia | 1 |
| California | 1 |
| More ▼ | |
Laws, Policies, & Programs
| Elementary and Secondary… | 1 |
| Every Student Succeeds Act… | 1 |
| Individuals with Disabilities… | 1 |
Assessments and Surveys
| Child Behavior Checklist | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkMahmoud Abdasalam; Ahmad Alzubi; Kolawole Iyiola – Education and Information Technologies, 2025
This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS…
Descriptors: Grades (Scholastic), Prediction, Accuracy, Artificial Intelligence
Ioana-Elena Oana; Carsten Q. Schneider – Sociological Methods & Research, 2024
The robustness of qualitative comparative analysis (QCA) results features high on the agenda of methodologists and practitioners. This article aims at advancing this debate on several fronts. First, in line with the extant literature, we take a comprehensive view on robustness arguing that decisions on calibration, consistency, and frequency…
Descriptors: Robustness (Statistics), Qualitative Research, Comparative Analysis, Decision Making
Pongchanun Luangpaiboon; Chiramet Phinkrathok; Walailak Atthirawong; Pasura Aungkulanon – SAGE Open, 2024
The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals' unique requirements and…
Descriptors: Decision Making, College Faculty, Simulation, Efficiency
Steven Snead – ProQuest LLC, 2024
Data-based decision-making has been a frequently used policy and practice intervention used in schools to help inform the decision-making processes of educational practitioners, with the aim of improving student outcomes. Interim benchmark assessments are designed by commercial test developers to support educators in this framework. In fact, the…
Descriptors: Student Evaluation, Data Analysis, Educational Practices, Decision Making
Randy G. Floyd; Sequoya A. Fitzpatrick; Patrick J. McNicholas; Nikita M. Pike – School Psychology, 2024
"Best Practices in School Psychology" is one of the most influential books in school psychology history. Originally published in 1985 by Thomas and Grimes, it was the first book offered by the National Association of School Psychologists. Its six editions have been revised every 5-8 years. Utilizing Publish or Perish as well as…
Descriptors: Bibliometrics, School Psychology, Best Practices, Research Reports
Xiaona Xia; Tianjiao Wang – Asia-Pacific Education Researcher, 2024
The artificial intelligence methods might be applied to see through the education problems, and make effective prediction and decision. The transformation from data to decision are inseparable from the learning analytics. In order to solve the dynamic multi-objective decision problems, a decision learning algorithm is designed to analyze the…
Descriptors: Learning, Behavior, Achievement, Learning Analytics
Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
Robert C. Lorenz; Mirjam Jenny; Anja Jacobs; Katja Matthias – Research Synthesis Methods, 2024
Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time,…
Descriptors: Decision Making, Time Management, Evaluation Methods, Quality Assurance
Thomas R. Guskey, Editor; Cassandra Erkens, Contributor; Katie White, Contributor; Mandy Stalets, Contributor; Garnet Hillman, Contributor; Tim Brown, Contributor; Tom Hierck, Contributor; Tom Schimmer, Contributor; Sharon V. Kramer, Contributor; Sarah Schuhl, Contributor; Anthony R. Reibel, Contributor; Joellen Killion, Contributor – Solution Tree, 2025
In "The Teacher as Assessment Leader, Second Edition," editor Thomas R. Guskey and expert contributors offer research-backed strategies for re-envisioning assessment to enhance student learning and teacher instruction. The authors provide actionable steps, practical examples, and strategies for utilizing formative assessments. These…
Descriptors: Teacher Leadership, Formative Evaluation, Data Analysis, Evidence Based Practice
Katerina Guba; Angelika Tsivinskaya – Studies in Higher Education, 2025
This paper explores the regulators' perspective and demonstrates how legitimacy deficits of private universities outweigh performance results in decisions regarding university inspections. We examined the period when the regulator had an urgent claim on Russian universities, particularly during the campaign to 'clean the system of higher…
Descriptors: Private Sector, Private Education, Universities, Private Colleges
Nicole Barnes; Helenrose Fives; Coby V. Meyers; Tonya R. Moon – Journal of Educational Administration, 2025
Purpose: School principals are increasingly responsible for acting as instructional leaders, but research on data teams typically considers principals as secondary players responsible for ensuring that meetings occur but not necessarily for their quality. We investigated how elementary school principals in one district committed to data use…
Descriptors: Elementary Schools, Rural Areas, School Districts, Principals
Jonas Videbaek Jørgensen – Evidence & Policy: A Journal of Research, Debate and Practice, 2024
Background: Understanding knowledge utilisation in policymaking is a core task for the social and political sciences. However, limitations and biases abound in commonplace approaches to measuring such use. Consequently, we have little systematic evidence of the extent to which knowledge sources are used in policy decisions. Aims and objectives:…
Descriptors: Research Utilization, Policy Formation, Measurement, Content Analysis
Download full textElliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
Yulei Gavin Zhang; Mandy Yan Dang; M. David Albritton – Journal of Information Systems Education, 2024
The current study details the development of an undergraduate business analytics course that combines components of both active and experiential learning. The course offering is designed to expose students from different backgrounds to an intermediate-to-advanced level of business analytics. The course is unique in that it was designed to be…
Descriptors: Information Retrieval, Data Analysis, Undergraduate Students, Active Learning
