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Reagan Mozer; Luke Miratrix – Society for Research on Educational Effectiveness, 2023
Background: For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require each document first be manually coded for constructs of interest by trained human raters. These hand-coded scores are then used as a measured outcome for an impact analysis, with the average scores of the treatment group…
Descriptors: Artificial Intelligence, Coding, Randomized Controlled Trials, Research Methodology
Brian T. Keller; Craig K. Enders – Grantee Submission, 2023
A growing body of literature has focused on missing data methods that factorize the joint distribution into a part representing the analysis model of interest and a part representing the distributions of the incomplete predictors. Relatively little is known about the utility of this method for multilevel models with interactive effects. This study…
Descriptors: Data Analysis, Hierarchical Linear Modeling, Monte Carlo Methods, Bias
Jakub A. Konkol; George Tsilomelekis – Journal of Chemical Education, 2023
Preprocessing is a critical step in the analysis pipeline of spectroscopic data. However, students are rarely introduced to preprocessing when learning spectral techniques in laboratory courses which in turn may affect and delay their progress in the field. Despite its undoubtable importance, students will be mainly performing spectroscopic…
Descriptors: Laboratory Experiments, Science Instruction, Spectroscopy, Interaction
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Robin Samuelsson – Journal of Mixed Methods Research, 2025
Video has become a widespread tool for capturing naturalistic behavioral data. While mixed methods show great potential in understanding the active nature of children's interaction, only a few studies have developed mixed methods for video-based interaction research. This paper presents a mixed methods embodied interaction model appropriate for…
Descriptors: Video Technology, Data Collection, Child Behavior, Interaction
Courtenay A. Barrett; Mark Prendergast – School Psychology International, 2025
In Ireland, as elsewhere, there has been growing recognition around the importance of using research evidence to inform educational policy and practice at both a national government and individual school level. Despite such importance, there is currently a dearth of empirical, peer-reviewed studies regarding the use of research evidence in the…
Descriptors: Foreign Countries, Educational Research, Information Dissemination, Research Utilization
Anthony Fernandes; Ksenija Simic-Muller; Travis Weiland – Mathematics Teacher Educator, 2025
Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real…
Descriptors: Preservice Teachers, Racism, Statistical Data, Statistics Education
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
M. B. Saikrishna – On the Horizon, 2025
Purpose: The purpose of this paper is to investigate how educators perceive and adapt their roles in the face of changes in technology-driven learning environments. The Gioia methodology explores how educators enable adaptive learning, broaden their pedagogical practice and promote cultural inclusivity to educate diverse students.…
Descriptors: Teacher Attitudes, Educational Technology, Technology Uses in Education, Teacher Role
Suthinanth Rattanachotithavorn; Pattarawat Jeerapattanatorn – Journal of Education and Learning, 2025
This review article examines the emerging trends in business education to address the rapidly evolving demands of a global, technology-driven economy. The study systematically analyzed 64 research articles from academic databases, of which 28 high-quality studies met the inclusion criteria based on their direct relevance to business education and…
Descriptors: Business Education, Educational Trends, Educational Research, Artificial Intelligence
Marina Martínez-Carmona; Beatriz Bravo-Torija; Luisa López-Banet – Tuning Journal for Higher Education, 2025
Climate change is one of the socio-environmental problems with the greatest complexity and media impact in the world. However, difficulties have been observed in its understanding. In this study, we worked on this social problem in the classroom through argumentation, from the evaluation of different statements made about the causes and…
Descriptors: Climate, Social Problems, Persuasive Discourse, Ecology
Changiz Mohiyeddini – Anatomical Sciences Education, 2025
Medical schools are required to assess and evaluate their curricula and to develop exam questions with strong reliability and validity evidence, often based on data derived from statistically small samples of medical students. Achieving a large enough sample to reliably and validly evaluate courses, assessments, and exam questions would require…
Descriptors: Medical Education, Medical Students, Medical Schools, Tests
Hannah Rochford; Corinne Peek-Asa; Whitney Zahnd; Brian Kaskie – Journal of American College Health, 2025
Objective: Campus sexual misconduct causes adverse physical, mental, behavioral, reproductive, and financial consequences. Informing prevention efforts at federal, state, and institution levels requires valid data. We assessed the appropriateness of Clery Act Campus Crime Statistics data for evaluating campus sexual misconduct. Participants: We…
Descriptors: Colleges, Crime, Federal Legislation, School Security
Eric Ortega González; Jairo Jiménez – Educational Philosophy and Theory, 2025
This article examines contemporary educational practices within the rapidly evolving landscape of Artificial Intelligence. We do so by analysing the relationship between artificiality and naturalness in education. Education, often characterized as a human and thus natural-historical phenomenon, now appears increasingly shaped by artificial…
Descriptors: Artificial Intelligence, Educational Practices, Man Machine Systems, Data Analysis
Marissa J. Filderman; Alicia A. Stewart; Allie M. Cramer; Sarah S. Hughes-Berheim; Elizabeth Swanson – Remedial and Special Education, 2025
Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This U.S. study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for…
Descriptors: Reading Comprehension, Data Use, Decision Making, Intervention

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