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Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
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Feldman-Maggor, Yael; Barhoom, Sagiv; Blonder, Ron; Tuvi-Arad, Inbal – Education and Information Technologies, 2021
Research based on educational data mining conducted at academic institutions is often limited by the institutional policy with regard to the type of learning management system and the detail level of its activity reports. Often, researchers deal with only raw data. Such data normally contain numerous fictitious user activities that can create a…
Descriptors: Data Analysis, Educational Research, Data Processing, Learning Analytics
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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2021
This is the fourth in a series of statistical articles for mathematics teachers. In this article, the authors discuss topics in General Mathematics in Unit 2 Topic 1 (Univariate data analysis and the statistical investigation process) and topics in Essential Mathematics, Unit 2 Topic 1 (Representing and comparing data).
Descriptors: Mathematics Education, Mathematics Instruction, Data Analysis, Graphs
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Youssef Er-Rays; Meriem M'dioud – Evaluation Review, 2025
Maternal, neonatal, and child health play crucial roles in achieving the objectives of Sustainable Development Goal (SDG) 2030, particularly in promoting health and wellbeing. However, maternal, neonatal, and child services in Moroccan public hospitals face challenges, particularly concerning mortality rates and inefficient resource allocation,…
Descriptors: Foreign Countries, Sustainable Development, Hospitals, Mothers
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Jennings, Austin S. – Educational Assessment, 2022
The extent to which teachers collect, interpret, and use information from multiple data sources is a key distinction between novice and expert data users. Understanding and exploring this dimension of teachers' instructional decision making requires a shift in contemporary perspectives toward the interconnectedness of data sources within teachers'…
Descriptors: Educational Practices, Information Utilization, Data Collection, Data Interpretation
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Samuelsson, Ingrid Pramling; Björklund, Camilla – International Journal of Early Years Education, 2023
Play is considered an important aspect of Early Childhood Education and Care. However, the relationship between play and learning is often taken for granted both in research and praxis. In this article, we study our own research group's empirical work over a 40-year period, and how we have used the concepts of play and learning. We observed that…
Descriptors: Play, Learning Processes, Relationship, Learning
Kane, Maggie; Lin, Van-Kim – Early Childhood Data Collaborative, 2020
Home visiting is an important component of the early childhood (EC) landscape, but home visiting data are often not part of the larger early childhood data integration efforts that states undertake. Building support for home visiting data integration and coordinating efforts across sectors, systems, and programs require the involvement of a wide…
Descriptors: Stakeholders, Home Visits, Data Use, Data Collection
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Odegard, Nina – Contemporary Issues in Early Childhood, 2021
This article draws on a new materialist paradigm to explore bricolaging data from an early childhood research project through an immanent ethical lens. This lens enables the researcher to stretch towards non-hierarchical relationships in between subjects and objects, thinking and doing. A bricoleur explores and builds different…
Descriptors: Data Collection, Early Childhood Education, Ethics, Educational Research
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Kim, Young Ae; Monroe, Emily; Nielsen, Hayley; Cox, Jonathan; Southard, Katelyn M.; Elfring, Lisa; Blowers, Paul; Talanquer, Vicente – Journal of Chemical Education, 2020
Formative assessment has been proven to be highly effective in improving student understanding. Nevertheless, many instructors struggle to engage in this practice, particularly when working in large-enrollment classrooms. To facilitate and foster the implementation of formative assessment in chemistry courses, undergraduate students at our…
Descriptors: Undergraduate Students, Ability, Data Collection, Data Interpretation
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Campbell, Rebecca; Goodman-Williams, Rachael; Feeney, Hannah; Fehler-Cabral, Giannina – American Journal of Evaluation, 2020
The purpose of this study was to develop triangulation coding methods for a large-scale action research and evaluation project and to examine how practitioners and policy makers interpreted both convergent and divergent data. We created a color-coded system that evaluated the extent of triangulation across methodologies (qualitative and…
Descriptors: Mixed Methods Research, Action Research, Data Interpretation, Coding
Leone, Elizabeth L. – ProQuest LLC, 2023
Data collection and analyzation practices for English language development services are scarcely found in research, but needed in the subgroup of minority students commonly known as English language learners (Wiseman & Bell, 2021). Wiseman and Bell (2021) identified ELLs as one of the most under-documented student subgroups in the American…
Descriptors: Data Collection, Data Analysis, Second Language Learning, English Language Learners
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Burleson, James; Bott, Gregory J.; Carter, Michelle; Sarabadani, Jalal – Journal of Information Systems Education, 2023
To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS "Basket of 8" journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for…
Descriptors: Doctoral Programs, Curriculum Evaluation, Curriculum Development, Surveys
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Peel, Karen L. – Practical Assessment, Research & Evaluation, 2020
Interest in applied educational research methodology is growing as educators and researchers strive to seek empirical evidence about what is effective teaching within distinctive contexts. However, for beginner researchers who are interested in conducting case studies within educational settings and are looking for an appropriate starting point,…
Descriptors: Educational Research, Content Analysis, Research Methodology, Data Collection
Woo, Sang Eun, Ed.; Tay, Louis, Ed.; Proctor, Robert W., Ed. – APA Books, 2020
Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. "Big Data in Psychological Research" addresses the opportunities and challenges that this data presents to psychological…
Descriptors: Psychological Studies, Research Design, Data Collection, Best Practices
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