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Atherton, Paul – Childhood Education, 2022
For any government, difficult choices must be made about how and where to prioritize any school construction. In the absence of data-driven decision-making, these choices typically will be made based on opinions; when that is the case, the most powerful people's opinions tend to dominate. On the other hand, data help us ensure all the children's…
Descriptors: Foreign Countries, Decision Making, Data Use, Data Analysis
Ahadi, Alireza; Singh, Abhay; Bower, Matt; Garrett, Michael – Education Sciences, 2022
Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields, encouraging research based applications of modern Data Science methods. Among many other…
Descriptors: Data Analysis, Bibliometrics, Learning Analytics, Computer Software
Zhang, Wei; Zeng, Xinyao; Wang, Jihan; Ming, Daoyang; Li, Panpan – Education and Information Technologies, 2022
Programming skills (PS) are indispensable abilities in the information age, but the current research on PS cultivation mainly focuses on the teaching methods and lacks the analysis of program features to explore the differences in learners' PS and guide programming learning. Therefore, the purpose of this study aims to explore horizontal…
Descriptors: Programming, Skill Development, Information Retrieval, Data Processing
Korkmaz, Elif; Morali, Hasibe Sevgi – International Electronic Journal of Mathematics Education, 2022
Augmented reality (AR) helps three dimensional, virtual objects to be viewed, interactively, in a real-world setting. AR technology is used in many fields such as medicine, advertisement, military, industry, and increasingly in education. AR has an importantrole in concretizing educational platforms and achieving permanentlearning. This study aims…
Descriptors: Meta Analysis, Computer Simulation, Electronic Learning, Mathematics Education
Leventhal, Brian C.; Gregg, Nikole; Ames, Allison J. – Measurement: Interdisciplinary Research and Perspectives, 2022
Response styles introduce construct-irrelevant variance as a result of respondents systematically responding to Likert-type items regardless of content. Methods to account for response styles through data analysis as well as approaches to mitigating the effects of response styles during data collection have been well-documented. Recent approaches…
Descriptors: Response Style (Tests), Item Response Theory, Test Items, Likert Scales
Chang, Hedy N. – Attendance Works, 2022
This brief examines how state policies and practices continue to evolve in light of the COVID-19 pandemic. It is based on data provided by 45 states plus the District of Columbia as of early May 2022. The brief updates our 2021 report, "Are Students Present and Accounted For? An Examination of State Attendance Policies During the COVID-19…
Descriptors: Attendance, State Policy, COVID-19, Pandemics
Cox, Shawna; Gilary, Aaron; Simon, Dillon; Thomas, Teresa – National Center for Education Statistics, 2022
The National Center for Education Statistics (NCES) sponsors the National Teacher and Principal Survey (NTPS) on behalf of the U.S. Department of Education in order to collect data on public and private elementary and secondary schools in the United States. The NTPS is a large-scale, nationally representative sample survey of K-12 public and…
Descriptors: Teachers, Principals, Elementary Secondary Education, Administrators
Grantee Submission, 2022
Systems for learning and producing knowledge, such as career and technical education (CTE), often reproduce inequities unless an equity-focused lens is used when designing, implementing, and evaluating programs. This framework presents guidance for conducting CTE research with an intentional focus on equity. Developed by the CTE Research Network's…
Descriptors: Equal Education, Vocational Education, Educational Research, Program Administration
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
Carlton J. Fong; Zohreh Fathi; Semilore F. Adelugba; Agustín J. García; Melissa Garza; Giovanna Lorenzi Pinto – Social Psychology of Education: An International Journal, 2025
Recent insights have underscored the role of context in cultivating intelligence mindsets' influence on students' academic outcomes. Psychological affordances of the social context may encourage an adaptive perspective (i.e., growth mindset). Expanding this novel area of investigation, we examined how students' sense of belonging, as an affordance…
Descriptors: First Generation College Students, Community College Students, Social Environment, Disproportionate Representation
Vaccarello, Cara; Kratochwill, Thomas R.; Asmus, Jennifer M. – Journal of Educational and Psychological Consultation, 2023
We examined the outcomes of elementary school-based problem-solving teams (PSTs) who participated in a multi-component consultation focused on enhancing systematic problem solving. Consultation provided to each PST included training in the use of a problem-solving protocol (i.e., "Outcomes: Planning Monitoring, and Evaluating"…
Descriptors: Elementary School Teachers, Problem Solving, Consultation Programs, Coaching (Performance)
Data Quality Campaign, 2023
Schools, state and local education and workforce agencies, colleges, career education and training programs, and employers collect and use education and workforce data. But without a connected, cohesive system through which students, job seekers, and college and career counselors can get that information, it often remains just out of reach for…
Descriptors: Career Pathways, Data Use, Access to Information, Goal Orientation
Ciaran Evans; William Cipolli; Zakary A. Draper; John-Tyler Binfet – Journal of Statistics and Data Science Education, 2023
Engaging and motivating students in undergraduate statistics courses can be enhanced by using topical peer-reviewed publications for analyses as part of course assignments. Given the popularity of on-campus therapy dog stress-reduction programs, this topic fosters buy-in from students whilst providing information regarding the importance of mental…
Descriptors: Statistics Education, Learning Motivation, Undergraduate Students, Data Analysis
Achilleas Mandrikas; Constantina Stefanidou; Constantine Skordoulis – Journal of STEM Education: Innovations and Research, 2024
A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…
Descriptors: Foreign Countries, STEM Education, Elementary Education, Program Implementation

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