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Dallavis, Julie W. – Journal of Catholic Education, 2023
Accountability pressures in education have risen steadily over the last two decades and public schools and districts now track school- and student-level data in response to state and federal mandates. Catholic schools and dioceses have not faced the same level of regulation over this period, and less is known about data access and use in the…
Descriptors: Catholic Schools, Superintendents, Data Use, Barriers
Baptiste Barbot; James C. Kaufman – Journal of Creative Behavior, 2025
The OECD's PISA program assesses 15-year-old students globally in key competencies every 3 years, providing influential data on education quality and spurring policy debates. In the latest cycle, the innovation domain focused on creative thinking, assessing over 140,000 students across 60+ countries, in the largest study of adolescent creativity…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
Esther K. Kuria; Catherine Kelly – Educational Psychology in Practice, 2023
With an increasingly diverse UK population and differences in outcomes and experiences, educational psychologists (EPs) need actively to adhere to and promote principles of equality and equity. Although there is limited engagement with social justice issues in the professional and ethical guidelines in the UK, there has been a growing body of…
Descriptors: Social Justice, Foreign Countries, Barriers, Data Use
Alexandra M. Pierce; Melissa A. Collier-Meek; Thea R. Bucherbeam; Lisa M. H. Sanetti – Communique, 2024
Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…
Descriptors: Data Use, Decision Making, Intervention, Fidelity
Giorgio Di Pietro – European Education, 2023
We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…
Descriptors: Student Characteristics, Barriers, Student Mobility, Foreign Countries
Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
Toyokawa, Yuko; Horikoshi, Izumi; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…
Descriptors: Barriers, Affordances, Artificial Intelligence, Inclusion
Usher, Maya; Hershkovitz, Arnon – Journal of Science Education and Technology, 2022
Higher education instructors constantly rely on educational data to assess and evaluate the behavior of their students and to make informed decisions such as which content to focus on and how to best engage the students with it. Massive open online course (MOOC) platforms may assist in the data-driven instructional process, as they enable access…
Descriptors: College Faculty, Data Use, MOOCs, Teaching Methods
Yun Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper deeply discusses the transformation potential of integrating Internet big data into the pre-school education model in colleges and universities. Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology…
Descriptors: Educational Innovation, Preschool Education, Data Analysis, Data Collection
Sandomierski, Therese; Martinez, Stephanie; Webster, Rebecca; Winneker, Anna; Minch, Devon – Preventing School Failure, 2022
Root Cause Analysis (RCA) has been recommended as a specific problem-solving approach for addressing disproportionate discipline outcomes. RCA differs from other problem-solving models through its in-depth analysis that draws from the perspectives of individuals who are impacted by the issue being addressed. When applied to disproportionate…
Descriptors: Discipline, Disproportionate Representation, Problem Solving, Data Use
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
Rany Sam; Khorn Sok; Morin Tieng; Hak Yoeng; Sarith Chiv; Sovannpitou Thay; Saing Saorann – European Journal of Educational Management, 2025
This study examines the characteristics, challenges, and strategies of school leadership in Cambodian high schools, with a focus on leadership in resource-constrained settings. Using a qualitative case study approach, the research investigates how principals in six northwestern provinces implement leadership practices to improve educational…
Descriptors: Foreign Countries, Principals, High Schools, Leadership Styles
Schildkamp, Kim; Datnow, Amanda – Leadership and Policy in Schools, 2022
Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…
Descriptors: Foreign Countries, Educational Improvement, Data Use, Failure
Katherine Bui; Keith R. Berry Jr. – Journal of Research Administration, 2025
Research administrators (RA) at institutions of higher education (IHE) provide critical support to faculty throughout the lifecycle of research, which include developing research, applying to funding opportunities, managing awards through closeout, and maintaining compliance. Fulfilling these tasks requires well-developed RA processes and clear…
Descriptors: COVID-19, Pandemics, Data Collection, Data Use
Coleman-King, Chonika; Rosser, Brook D.; Sanford, Cindy M. – Urban Review: Issues and Ideas in Public Education, 2023
Black teachers (BTs) are significantly underrepresented in the US teaching profession, yet there is still little focus on how to best hire, support, and retain them. This collaborative autoethnography documents our work in an urban characteristic school district and university in the southeastern US and how we leveraged our interpersonal and…
Descriptors: African American Teachers, Disproportionate Representation, Teacher Persistence, Teacher Selection