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Sriram Sampath – Higher Education for the Future, 2025
Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…
Descriptors: Artificial Intelligence, Health Services, Technological Advancement, Innovation
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
Dear, Carley P.; Williams, Melissa A.; Bowlus, Angela M.; Bryan, Angela A.; Collins, Edward L.; Lin, Gregory; Moreno, Kirstin; Schnelle, Teri; Song, Xiaomei; Stanny, Claudia J.; Tucker, Constance R. – Intersection: A Journal at the Intersection of Assessment and Learning, 2021
To produce actionable and accessible assessment findings that drive innovation and improvement, strategies should be implemented at the national and local level throughout each stage of the assessment process. Fostering these findings is the need to authentically engage stakeholders throughout the assessment process. Done well, the engagement of…
Descriptors: Higher Education, Evaluation, Educational Strategies, Stakeholders
Wolf, Baron; Hall, Terri; Robershaw, Katherine – Research Management Review, 2021
While an increased number of industries with business operations have been shaping their use of data analytics, the use of such tools and methods within the higher education research domain, specifically research administration, is still in its infancy. This mixed-methods study collected data to identify best practices in how universities and…
Descriptors: Data Analysis, Research Administration, Best Practices, Strategic Planning
Gil, Paulo Diniz; da Cruz Martins, Susana; Moro, Sérgio; Costa, Joana Martinho – Education and Information Technologies, 2021
This study presents a data mining approach to predict academic success of the first-year students. A dataset of 10 academic years for first-year bachelor's degrees from a Portuguese Higher Institution (N = 9652) has been analysed. Features' selection resulted in a characterising set of 68 features, encompassing socio-demographic, social origin,…
Descriptors: Data Use, Decision Making, Predictor Variables, Academic Achievement
Espin, Christine A.; van den Bosch, Roxette M.; van der Liende, Marijke; Rippe, Ralph C. A.; Beutick, Melissa; Langa, Athanasia; Mol, Suzanne E. – Journal of Learning Disabilities, 2021
The purpose of this study was to examine the amount of attention devoted to data-based decision-making in Curriculum-Based Measurement (CBM) professional development materials. Sixty-nine CBM instructional sources were reviewed, including 45 presentations, 22 manuals, and two books. The content of the presentations and manuals/books was coded into…
Descriptors: Curriculum Based Assessment, Faculty Development, Data Use, Decision Making
Williamson, J. Charles – Journal of Chemical Education, 2021
The lever rule applies to any two-component system existing in a state of two-phase equilibrium. Here, several classroom demonstrations are described to help students understand liquid--liquid coexistence and the lever rule using a set of isobutyric acid + water + dye samples ranging in composition from water + dye to isobutyric acid + dye. The…
Descriptors: Teaching Methods, Chemistry, Science Instruction, Visualization
Landri, Paolo – Educational Assessment, Evaluation and Accountability, 2021
The diffusion of national standardized testing, large-scale survey assessments and the promotion of policies of self-evaluation are making large amounts of data on education systems available and transforming schools into collecting units for a notable range of educational, institutional and socioeconomic indicators. The datafication and related…
Descriptors: Resistance (Psychology), Alignment (Education), Data Use, School Administration
Traianou, Anna; Hammersley, Martyn – International Journal of Social Research Methodology, 2021
It is widely assumed that researchers must normally secure informed consent from participants if research is to be ethical. But what exactly are people being asked to consent to? Most obviously, it is to supplying, or providing access to, data; but are they also agreeing that this data can be used in any way relevant to the research, or do they…
Descriptors: Research, Informed Consent, Civil Rights, Personal Autonomy
Engen, Graciela E.; Solverson, Natalie Walleser – New Directions for Institutional Research, 2021
While many campuses have access to and publish equity-focused data, it can be difficult to share that data with the campus community in a way that engages multiple offices. This article outlines the Equity Liaison Initiative at the University of Wisconsin--La Crosse, which engages individuals from most offices on campus with equity-focused data to…
Descriptors: Capacity Building, Equal Education, Data, Data Use
Safir, Shane; Dugan, Jamila – Corwin, 2021
Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the "student" up--with classrooms, schools and systems…
Descriptors: Data Collection, Equal Education, Educational Change, Data Use
Cheng, Diane – Postsecondary Value Commission, 2021
There are a number of ways that student investment can be measured, including full cost of attendance (COA, also known as sticker price), net price (COA minus grant aid), and opportunity costs in the form of forgone earnings. This paper explores those options and makes recommendations for how student investment should be measured with ideal data…
Descriptors: Measurement Techniques, Student Costs, Investment, College Students
Ruedel, Kristin; Kuchle, Laura Berry; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2021
Developing a solid foundational knowledge of data literacy is integral to building role-specific knowledge and building capacity of educators to use and apply these skills appropriately. However, the definition of data literacy is inconsistent and often too narrowly applied within the field of education. National experts and technical assistance…
Descriptors: Information Literacy, Data, Capacity Building, Definitions
Ahmad Al-Doulat – ProQuest LLC, 2021
Learning Analytics (LA) has had a growing interest by academics, researchers, and administrators motivated by the use of data to identify and intervene with students at risk of underperformance or discontinuation. Typically, faculty leadership and advisors use data sources hosted on different institutional databases to advise their students for…
Descriptors: Learning Analytics, Academic Advising, Data Use, Higher Education
Kloser, Matthew; Borko, Hilda; Wilsey, Matthew; Rafanelli, Stephanie – Science Education, 2022
Using evidence of student thinking and performance is crucial to enacting ambitious science teaching because intimate, formative data can be responsive to student ideas about science. However, narratives and policies about assessment and data use do not always position teachers to draw on the breadth and variety of evidence from the classroom to…
Descriptors: Portfolios (Background Materials), Faculty Development, Middle School Students, Science Teachers