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Secil Caskurlu; Yasin Yalçin; Jaesung Hur; Hui Shi; James D. Klein – TechTrends: Linking Research and Practice to Improve Learning, 2025
This exploratory qualitative study examined how instructional designers use data to make decisions during the instructional design process. Participants included full-time instructional designers (n = 9) who were involved in one or more phases of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) across different job sectors,…
Descriptors: Data Use, Instructional Design, Decision Making, Data Collection
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Manel van Kessel; Inge Molenaar; Carolien A. N. Knoop-van Campen; Mario de Jonge; Nadira Saab – Journal of Learning Analytics, 2025
Adaptive learning technologies (ALTs) provide teachers with student data in teacher dashboards (TDs). However, there is substantial variation in dashboard use among teachers, and many find it difficult to draw conclusions based on student data. Teachers' skills, knowledge, and contextual conditions are believed to be essential in effective…
Descriptors: Elementary School Teachers, Technology Uses in Education, Teacher Attitudes, Data Collection
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Eirini Kalaitzopoulou; Athanasios Christopoulos; Paul Matthews – Informatics in Education, 2025
While research on Learning Analytics (LA) is plentiful, it often prioritises perspectives on LA systems over the practical ways instructors use data to analyse and refine the learning process per se. The present study addresses this inadequacy by investigating how student data is employed by educators in UK Higher Education Institutions (HEIs) and…
Descriptors: Information Literacy, Learning Analytics, Data Use, College Faculty
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Cassandra Artman Collier; Anne L. Powell – Journal of Information Systems Education, 2024
As organizations' reliance on data increases, the prevalence of data analytics programs in universities likewise increases. However, despite this specialized education, scholars still report a gap between the knowledge and skills students graduate with and those required by industry upon beginning work as an entry-level data analyst. We draw on…
Descriptors: Data Analysis, Information Systems, Educational Research, Data Collection
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Tieyi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the rapid advancement of information technology, online education based on big data and artificial intelligence is a hot research topic in education. This study focuses on applying big data and AI in online vocal wisdom classes to enhance personalized teaching and effectiveness. It aims to address issues in traditional vocal education like…
Descriptors: Online Courses, Music Education, Artificial Intelligence, Singing
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Aimee Jacobs; Jacquelin J. Curry; Concetta A. DePaolo; Fernando Parra – Journal of Information Systems Education, 2024
This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling…
Descriptors: Visualization, Housing, Computer Software, Data Use
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Chang Liu; Charles Downing – Journal of Information Systems Education, 2024
This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their…
Descriptors: Graduate Students, Program Effectiveness, Information Science, Management Information Systems
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Alexandra I. Race; Shulong Yan; Caroline Spurgin; Sol Henson; Evan F. Portier; Heidi L. Ballard – International Journal of Science Education, Part B: Communication and Public Engagement, 2025
While citizen science and other participatory approaches to science are increasingly used in schools to promote student science learning, rarely are these students supported to collect, analyze, and share their data with meaningful outside audiences. In this study, we used a Design-Based Research approach to iteratively develop and examine an…
Descriptors: Elementary School Students, Elementary School Science, Science Instruction, Teaching Methods
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Ann Marie Cotman; F. Chris Curran; Katharine Harris-Walls – Education Policy Analysis Archives, 2024
Choices made on data visualizations guide how users make meaning of the information presented. This research investigates design decisions made on 115 state-level dashboards reporting school safety data. Using pre-determined codes drawn from a framework of visualization rhetoric, dashboard characteristics were described and analyzed. Analysis…
Descriptors: School Safety, Data, Visual Aids, State Agencies
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María Cioè-Peña – Journal of Language, Identity, and Education, 2025
Within educational research, qualitative data offers unique opportunities to contextualize findings that arise from large-scale quantitative data collection processes. Still, to date, most educational research is based on researchers' determination of what is important, not the participants'. Participatory Rank Methodology (PRM) is a…
Descriptors: Public Health, Educational Research, Data Collection, Research Methodology
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Sultan A. Almelhes – SAGE Open, 2025
Many people around the globe are aiming to learn the Arabic language, even though it is difficult to learn. Therefore, many online institutions are offering the service of teaching Arabic as a second language to non-native speakers, but these institutions always encounter different issues in enhancing their performance. Thus, this study aimed to…
Descriptors: Arabic, Second Language Instruction, Electronic Learning, Data Analysis
Hannah Lantos; Zakia Redd; Jessica Warren; Michael Bradley; Sham Habteselasse – Child Trends, 2024
Out-of-school-time (OST) programs and their funders rely on sound data to make decisions about everything from professional development and student recruitment to the selection of activities to offer students. Programs operate at a range of times (before and after school, weekends, summer) and in a variety of locations (e.g., schools,…
Descriptors: Child Development, Program Effectiveness, Outcome Measures, After School Programs
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Winny Akullo; Zawedde Nsibirwa – Journal of Electronic Resources Librarianship, 2024
This study explored the potential benefits of Linked Data adoption in Ugandan university libraries, focusing on its ability to make hidden library data globally accessible via the Web. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, specifically the Performance expectancy construct, a survey was conducted with 67…
Descriptors: Foreign Countries, Academic Libraries, Data, Access to Information
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Ibrahim Oluwajoba Adisa; Danielle Herro; Oluwadara Abimbade; Golnaz Arastoopour Irgens – Information and Learning Sciences, 2024
Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…
Descriptors: Learner Engagement, Elementary School Students, Data Science, Computation
Justin B. Doromal; Erica Greenberg; Elli Nikolopoulos; Eve Mefferd; Heather Sandstrom; Rachel Lamb; Victoria Nelson; Timothy Triplett – Urban Institute, 2024
Early childhood educators play essential roles in providing stable and high-quality child care for young children and supporting their development and growth. As is also true nationwide, historically low wages in the District of Columbia have led to challenges in compensating and retaining qualified early childhood educators, and in turn, building…
Descriptors: Program Implementation, Early Childhood Education, Educational Equity (Finance), Educational Finance
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