Publication Date
In 2025 | 1 |
Since 2024 | 17 |
Since 2021 (last 5 years) | 65 |
Since 2016 (last 10 years) | 104 |
Descriptor
Source
Author
Ward, C. | 3 |
Brandy S. Bowman | 2 |
Grant, David | 2 |
Hofer, Andrea-Rosalinde | 2 |
Prieto, Luis P. | 2 |
Robert C. Rodier | 2 |
Rodríguez-Triana, María Jesús | 2 |
St. Martin, K. | 2 |
Strawn, Matt | 2 |
Young, Christopher J. | 2 |
Adamson, Ashley | 1 |
More ▼ |
Publication Type
Education Level
Location
New Zealand | 5 |
Australia | 3 |
California | 3 |
Massachusetts | 3 |
Texas | 3 |
Europe | 2 |
Germany | 2 |
Indiana | 2 |
Minnesota | 2 |
North America | 2 |
Thailand | 2 |
More ▼ |
Laws, Policies, & Programs
Every Student Succeeds Act… | 3 |
Elementary and Secondary… | 1 |
Elementary and Secondary… | 1 |
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Measures of Academic Progress | 1 |
Private School Universe… | 1 |
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 1 |
Meets WWC Standards with or without Reservations | 1 |
Does not meet standards | 1 |
Technical Training to Nonprofit Managers Influences Using Big Data Technology in Business Operations
Arslan Isaac – ProQuest LLC, 2023
This nonexperimental, survey-based online quantitative study on nonprofit managers' technical training measures the extent of the influence on big data technology use. The unified theory of acceptance and use of technology is a theoretical framework to determine whether business managers are trained to have know-how in using big data technology.…
Descriptors: Nonprofit Organizations, Administrators, Data Use, Information Technology
Lukas Höper; Carsten Schulte – Informatics in Education, 2024
In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life…
Descriptors: Student Empowerment, Data Use, Computer Science Education, Artificial Intelligence
Supovitz, Jonathan A.; Comstock, Meghan – Leadership and Policy in Schools, 2023
This study focuses on the impacts of programs designed to develop and support teacher leaders to improve instruction in their schools. Using surveys of teachers in 45 schools in four districts and interview data, we found that the frequency of teachers' work with a teacher leader on professional growth, instructional planning, and…
Descriptors: Teacher Leadership, Instructional Improvement, Instructional Development, Observation
Marijn Martens; Ralf De Wolf; Lieven De Marez – Education and Information Technologies, 2024
Algorithmic systems such as Learning Analytics (LA) are driving the datafication and algorithmization of education. In this research, we focus on the appropriateness of LA systems from the perspective of parents and students in secondary education. Anchored in the contextual integrity framework (Nissenbaum, "Washington Law Review, 79,"…
Descriptors: Parent Attitudes, Student Attitudes, Learning Analytics, Algorithms
Meagan Karvonen; Lindsay Ruhter; Amy K. Clark – Exceptionality, 2024
Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…
Descriptors: Students with Disabilities, Academic Education, Data Use, Decision Making
Hamid Sanei; Jennifer B. Kahn; Rabia Yalcinkaya; Shiyan Jiang; Changzhao Wang – Journal of Science Education and Technology, 2024
Data and computational literacies empower youth to be active participants and future leaders in our increasingly data-driven society. We conducted a design-based research project in which a small group (n = 5) of high school youth from diverse backgrounds learned how to code and create data visualizations and stories with public data about climate…
Descriptors: Coding, Data Use, Science and Society, Story Telling
Rubel, Laurie H.; Nicol, Cynthia; Chronaki, Anna – Educational Studies in Mathematics, 2021
Data visualizations have proliferated throughout the COVID-19 pandemic to communicate information about the crisis and influence policy development and individual decision-making. In invoking exponential growth, mathematical modelling, statistical analysis, and the like, these data visualizations invite opportunities for mathematics teaching and…
Descriptors: Mathematics Education, Data Use, Data Interpretation, Visual Aids
O'Kelly, Mary K.; Jeffryes, Jon; Hobscheid, Maya; Passarelli, Rachael – College & Research Libraries, 2023
Eight years of data from Grand Valley State University Libraries show a positive correlation between in-class library instruction and student reenrollment the following fall semester. Using consistent statistical methods over time, controlling for confounding factors, and using a large population (N>16,000 annually) and strict protocols that…
Descriptors: Research Libraries, Library Instruction, School Holding Power, Enrollment Rate
Qian Liu; Tehmina Gladman; Julia Muir; Chen Wang; Rebecca Grainger – SAGE Open, 2023
One apparent challenge associated with learning analytics (LA) has been to promote adoption by university educators. Researchers suggest that a visualization dashboard could serve to help educators use LA to improve learning design (LD) practice. We therefore used an educational design approach to develop a pedagogically useful and easy-to-use LA…
Descriptors: Learning Management Systems, Learning Analytics, Visual Aids, Instructional Design
Trantham, Pamela S.; Sikorski, Jonathon; de Ayala, R. J.; Doll, Beth – Educational Assessment, Evaluation and Accountability, 2022
There is an extensive need for school systems to reliably assess the data literacy and data use skills of their educators. To address this need, the current study seeks to refine the NU Data Knowledge Scale (NUDKS) for assessing teacher data literacy for classroom data. A data-based decision-making framework provides the theoretical underpinnings…
Descriptors: Item Response Theory, Information Literacy, Data Use, Knowledge Level
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
Speights, Sabrina L.; Dunn, Alexandra M. – Management Teaching Review, 2023
Decision-making is a critical topic in any management and organizational behavior course. Navigating and understanding the various processes and influences on decision-making, however, can be complicated. This article revises and expands on a common "employee ranking" format activity. It uses in-class student data to systematically…
Descriptors: Data Use, Decision Making, Business Administration Education, Class Activities
Wilkerson, Michelle Hoda; Lanouette, Kathryn; Shareff, Rebecca L. – Mathematical Thinking and Learning: An International Journal, 2022
Data preparation (also called "wrangling" or "cleaning") -- the evaluation and manipulation of data prior to formal analysis -- is often dismissed as a precursor to meaningful engagement with a dataset. Here, we re-envision data preparation in light of calls to prepare students for a data-rich world. Traditionally, curricular…
Descriptors: Data Science, Information Literacy, Data Analysis, Secondary School Students
Jingping Sun; Jiangang Xia; Cheng Hua; Kaiwen Man; Bob L. Johnson Jr. – Educational Administration Quarterly, 2024
Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…
Descriptors: Psychometrics, Data Use, Leadership, Surveys
Punyapa Boontam; Supakorn Phoocharoensil – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
In recent years, there has been growing interest in the use of data-driven learning (DDL) in L2 writing instruction. This paper examined whether and to what extent DDL activities could enhance the writing complexity, accuracy, and fluency (CAF) of 30 Thai EFL learners. The presentation of DDL in this study was hands-on concordancing with the…
Descriptors: Foreign Countries, English (Second Language), Data Use, Difficulty Level