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Peer reviewed
Direct linkChih-Hsiung Tu; Patricia Peterson; Cherng-Jyh Yen; Hoda Harati; Catharyn Shelton; Laura Sujo-Montes – Educational Media International, 2023
COVID-19 has emphasized the importance of holistic education with fostering stu- dents' multiple intelligences through effective social and emotional learning (SEL). Understanding students' SEL not only supports students' learning performance, it's also beneficial to inform teachers to provide more adequate social-communicative, metacognitive, and…
Descriptors: Data Use, Diaries, Electronic Learning, Social Emotional Learning
Anh Thy Nguyen Bey – ProQuest LLC, 2023
Data-driven decision-making (DDDM) in public K-12 education is a concept that has been studied extensively over the last 20 years. Using data to inform or make decisions is believed to be an important and valuable strategic process. This exploratory, descriptive research focused on public school principals and their use of data in their…
Descriptors: Decision Making, Data Use, Principals, Public Schools
Download full textZachary Weingarten; Paul K. Steinle – National Center on Intensive Intervention, 2023
Data-based individualization (DBI) is a systematic approach to intensifying and individualizing interventions for students who require more support. Diagnostic data represent the third step in the DBI process. When progress monitoring data indicate that a student is not making adequate progress in an intervention, educators use diagnostic data to…
Descriptors: Data Use, Student Needs, Intervention, Individualized Instruction
Hughes, Jason; Hughes, Kahryn; Sykes, Grace; Wright, Katy – International Journal of Social Research Methodology, 2020
We centrally consider the question of what interview data can be used to 'say' through a dialogue with advocates of the 'radical critique' of interview studies. We propose that while the critique has considerable utility in drawing to 'the social life of interviews' and the pervasiveness of notions of the 'romantic subject', it simultaneously goes…
Descriptors: Interviews, Data Use, Criticism, Imagery
Leher Singh; Mihaela D. Barokova; Heidi A. Baumgartner; Diana C. Lopera-Perez; Paul Okyere Omane; Mark Sheskin; Francis L. Yuen; Yang Wu; Katherine J. Alcock; Elena C. Altmann; Marina Bazhydai; Alexandra Carstensen; Kin Chung Jacky Chan; Hu Chuan-Peng; Rodrigo Dal Ben; Laura Franchin; Jessica E. Kosie; Casey Lew-Williams; Asana Okocha; Tilman Reinelt; Tobias Schuwerk; Melanie Soderstrom; Angeline S. M. Tsui; Michael C. Frank – Developmental Psychology, 2024
Culture is a key determinant of children's development both in its own right and as a measure of generalizability of developmental phenomena. Studying the role of culture in development requires information about participants' demographic backgrounds. However, both reporting and treatment of demographic data are limited and inconsistent in child…
Descriptors: Data Collection, Young Children, Demography, Cultural Traits
Joy G. Bertling; Chris Grodoski; Amanda Galbraith; Ericka Ryba; Lynn Hodge – Art Education, 2024
Despite vital professional development support through the National Art Education Association's Data Visualization Working Group and other scholars' engagement with the topic in the literature, pedagogical literature that connects contemporary data visualization methods to art teaching practices is limited. While acknowledging that many of us have…
Descriptors: Art Education, Visual Aids, Data Analysis, Teaching Methods
Jonan Phillip Donaldson; Ahreum Han; Shulong Yan; Seiyon Lee; Sean Kao – Information and Learning Sciences, 2024
Purpose: Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this…
Descriptors: Research Methodology, Network Analysis, Learning Experience, Educational Research
Rozita Tsoni; Georgia Garani; Vassilios S. Verykios – Interactive Learning Environments, 2024
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…
Descriptors: Data Use, Distance Education, Learning Analytics, Educational Research
Jongsawas Chongwatpol – Education and Information Technologies, 2024
The philosophy for information system (IS)-related projects, such as artificial intelligence (AI) projects, embodies systematic and scientific approaches, that encompass the development, use, and applications of IS by focusing on the interactions among individuals, organizations, and society. However, many organizations still need to learn more…
Descriptors: Artificial Intelligence, Information Systems, Thinking Skills, Design
Fernando Filgueiras – Education, Citizenship and Social Justice, 2024
Artificial intelligence (AI) and big data methodologies have provided a vast possibility of applications in different public policy sectors. AI and big data provide essential innovations in school teaching and learning practices, curriculum, and management in education, transforming the entire formulation and implementation of education policy.…
Descriptors: Artificial Intelligence, Social Justice, Technology Uses in Education, Educational Technology
Rebecca Walcott; Isabelle Cohen; Denise Ferris – Evaluation Review, 2024
When and how to survey potential respondents is often determined by budgetary and external constraints, but choice of survey modality may have enormous implications for data quality. Different survey modalities may be differentially susceptible to measurement error attributable to interviewer assignment, known as interviewer effects. In this…
Descriptors: Surveys, Research Methodology, Error of Measurement, Interviews
Kate Ayres – Perspectives: Policy and Practice in Higher Education, 2024
This paper argues that a data-driven, niche-focused approach to strategy development will assist Higher Education Institutions to direct their financial resources to greater effect by providing a more tailored service to students, therefore, increasing student satisfaction and creating brand loyalty. This approach will give institutions greater…
Descriptors: Data Use, Decision Making, Student Recruitment, Foreign Countries
David B. Warner; Lisa McKee – Journal of Cybersecurity Education, Research and Practice, 2024
Data collection, use, leveraging, and sharing as a business practice and advantage has proliferated over the past decade. Along with this proliferation of data collection is the increase in regulatory activity which continues to morph exponentially around the globe. Adding to this complexity are the increasing business disruptions, productivity…
Descriptors: Information Security, Privacy, Governance, Compliance (Legal)
Lee Her – Language Policy, 2024
Using a case study design, this research explores how two department chairs, Jan and Tammy, in community colleges implement AB 705, an assessment policy impacting California ESL programs. AB 705 seeks to centralize previous multiple measures legislation in California by requiring the use of high school data in community college course placement.…
Descriptors: English (Second Language), Department Heads, Educational Policy, Community Colleges
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
