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Vonna L. Hemmler; Allison W. Kenney; Susan Dulong Langley; Carolyn M. Callahan; E. Jean Gubbins; Shannon Holder – Grantee Submission, 2022
Though qualitative research has become more prevalent in practice over the last 30 years, there is still considerable uncertainty among researchers regarding how to ensure inter-rater consistency when teams are tasked with coding qualitative data. In this article, we offer an explanation of a methodology our qualitative team used to achieve…
Descriptors: Interrater Reliability, Coding, Guides, Data Collection
Camillia Matuk; Ralph Vacca; Anna Amato; Megan Silander; Kayla DesPortes; Peter J. Woods; Marian Tes – Information and Learning Sciences, 2024
Purpose: Arts-integration is a promising approach to building students' abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this…
Descriptors: Middle School Teachers, Art Education, Art Teachers, Data
Sara Adan; Amparo Diaz; Nadia Leal-Carrillo; Allison Beer; Valerie Lundy-Wagner; Aisha Lowe – New Directions for Community Colleges, 2024
Across the nation, community colleges have expanded dual enrollment programs to increase college enrollment and completion, particularly among historically underserved populations. The California Community College system--the largest system in the nation--is no different and recently expanded its dual enrollment programming to include College and…
Descriptors: Community Colleges, Dual Enrollment, Equal Education, Student Participation
Alicia J. Lozano; Monica L. Ahrens; Genevieve R. Lyons; Jennie Z. Ma; Sarah J. Ratcliffe; Alexandra L. Hanlon – Journal of STEM Education: Innovations and Research, 2024
Background: The field of collaborative biostatistics plays a critical role in translating scientific discoveries into practical applications by providing sound statistical analysis, ensuring data integrity, and facilitating interdisciplinary collaboration in translational science and decision-making in healthcare. The role of a collaborative…
Descriptors: Undergraduate Students, Health Education, Statistics Education, Interdisciplinary Approach
Danley, Angela J. – SRATE Journal, 2020
Preparing teacher candidates to analyze achievement data is necessary to develop the understanding of how academic data is collected and used to inform instruction. Collecting achievement data in the area of literacy includes a variety of assessments focused on reading and writing. A critical component of analyzing data involves working in…
Descriptors: Preservice Teachers, Literacy, Data Analysis, Data Use
Marion, S. F.; Gonzales, D.; Wiener, R.; Peltzman, A. – National Center for the Improvement of Educational Assessment, 2020
State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…
Descriptors: State Policy, Educational Opportunities, Program Evaluation, Summative Evaluation
Nina Zipser; Lisa Mincieli – Studies in Higher Education, 2025
This paper presents a framework for utilizing Student Evaluations of Teaching (SET) in faculty evaluations. Recognizing the ongoing debate about the validity of SET as a measure of teaching effectiveness, the authors agree with scholars who propose viewing SET as a tool for gauging 'student perceptions of learning'. They present a method that…
Descriptors: College Faculty, Faculty Evaluation, Student Evaluation of Teacher Performance, Evaluation Criteria
Catalina Patricia Morales-Murillo; Manuel Pacheco-Molero; Irene León-Estrada; Rosa Fernández-Valero; Mónica Gutiérrez Ortega; R. A. McWilliam – Early Childhood Education Journal, 2025
This study analyzed the fit of data collected with the Measure of Engagement, Independence, and Social Relationships for 3- to 5-year-olds (MEISR 3-to-5-years-old) to a proposed theoretical model based on the cross-walk of MEISR 3-to-5-years-old items and codes from 7 chapters of the Activities and Participation component of the International…
Descriptors: Foreign Countries, Early Childhood Education, Intervention, Preschool Children
Mo Zhang; Paul Deane; Andrew Hoang; Hongwen Guo; Chen Li – Educational Measurement: Issues and Practice, 2025
In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…
Descriptors: Writing Tests, Computer Assisted Testing, Keyboarding (Data Entry), Writing Processes
Hüseyin Kotaman; Asli Balci – Applied Cognitive Psychology, 2025
This study aimed to determine which type of information source--providing either mathematical or relative data--children aged 5-11 would prefer. Additionally, the study examined how children justified their choices and whether differences existed in their justifications. A total of 837 children participated in the study. The children watched…
Descriptors: Childrens Attitudes, Epistemology, Trust (Psychology), Decision Making
Trevor K. M. Day; Arielle Borovsky; Donna Thal; Jed T. Elison – Developmental Science, 2025
The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real-world needs. First, we show that Words & Gestures data collected…
Descriptors: Language Skills, Measures (Individuals), Children, Models
Alejandra Miranda; Tim Gill – Cambridge University Press & Assessment, 2025
This report is focused on the uptake of General Certificate of Secondary Education (GCSE) subjects in England in 2023. Uptake in a GCSE subject is defined as the number or percentage of students at the end of Key Stage 4 (KS4) taking the subject. This report was produced using publicly available data from the Department for Education's (DfE). The…
Descriptors: Foreign Countries, Secondary Education, Exit Examinations, Data Analysis
Boris Forthmann; Benjamin Goecke; Roger E. Beaty – Creativity Research Journal, 2025
Human ratings are ubiquitous in creativity research. Yet, the process of rating responses to creativity tasks -- typically several hundred or thousands of responses, per rater -- is often time-consuming and expensive. Planned missing data designs, where raters only rate a subset of the total number of responses, have been recently proposed as one…
Descriptors: Creativity, Research, Researchers, Research Methodology
Jay Fie Paler Luzano – International Journal of Technology in Education, 2025
This study investigated the role of ChatGPT-assisted data analysis in mathematics education research within the post-modern scholarly milieu using a scoping review approach. This examined how ChatGPT contributes to ethical, reliable, rigorous, and context-sensitive data analysis in mathematics education research. The findings reveal five (5)…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Research, Data Analysis
Abdelmadjid Benmachiche; Abdelhadi Sahia; Soundes Oumaima Boufaida; Khadija Rais; Makhlouf Derdour; Faiz Maazouzi – Education and Information Technologies, 2025
In the context of massive open online courses (MOOCs), searching and retrieving information can be challenging because there is a huge amount of unstructured content, which creates a problem and makes it difficult for users to quickly find relevant lessons or resources. As a result, learners and teachers face significant barriers to accessing the…
Descriptors: MOOCs, Natural Language Processing, Artificial Intelligence, Search Engines

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