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John Hattie; Douglas Fisher; Nancy Frey; John Taylor Almarode – Corwin, 2024
It may seem obvious, but learning should never be implied or assumed. Learning must be explicit, evaluated and monitored; the impact of teaching on student learning should be visible. But how can we be sure? Armed with years of research that includes more than 2,100 meta-analyses, and 130,000 studies that include more than 300 million…
Descriptors: Evidence Based Practice, Data Collection, Data Use, Educational Quality
Linda McKee, Editor; Sylvia Read, Editor; Debbie Rickey, Editor – Myers Education Press, 2024
"Using Data for Continuous Improvement in Educator Preparation" provides case studies that illuminate and contextualize the ways in which educator preparation programs determine the data they need to improve, collect data, analyze data, share data with stakeholders, and close the loop by making focused improvements based on the data.…
Descriptors: Data Use, Educational Improvement, Teacher Education Programs, Data Collection
Soubhik Barari; Eric Newsom; Ji Eun Park; Susan M. Paddock – NORC at the University of Chicago, 2024
Prospective students and their families use college rankings to navigate their higher education options. Rising tuition and fees have made the college decision more fraught. Recently, the major college ranking providers have revised their methodologies to reflect costs and other considerations. These revisions raise important questions about the…
Descriptors: Construct Validity, Evaluation Methods, Educational Quality, Student Costs
Noonan, James; Schneider, Jack – Phi Delta Kappan, 2022
Parents and the public use accountability data to judge if schools are doing a good or a bad job educating their students. However, using the current data, schools perceived as "good" tend to be in better-resourced districts and enroll higher percentages of wealthy and white students. Schools perceived as "bad" tend to be in…
Descriptors: Educational Quality, Accountability, School Demography, Educational Resources
Ling Wang; Guochu Liang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…
Descriptors: Data Use, Educational Quality, Online Courses, Distance Education
Nie, Yanjiao; Luo, Heng; Sun, Di – Interactive Learning Environments, 2021
The proliferation of massive open online courses (MOOCs) highlights the necessity of developing accurate and diagnostic evaluation methods to assess the courses' quality and effectiveness. Hence, this study proposes a diagnostic MOOC evaluation (DME) method that combines the Analytic Hierarchy Process algorithm and learner review mining to…
Descriptors: Online Courses, Evaluation Methods, Course Evaluation, Mathematics
Good, Megan R. – Assessment Update, 2023
This issue of "Assessment Update" presents a three part series on fixing assessments. In Part 1: "Assessment Standards are Broken," David Eubanks highlights the challenges with the assessment standards articulated by institutional accreditors. In this article, Part 2: Megan R. Good, discusses the opportunity costs faced and…
Descriptors: Administrative Organization, Educational Quality, Outcomes of Education, Student Evaluation
Arnold, Nathan; Voight, Mamie; Morales, Jessica; Dancy. Kim; Coleman, Art – Institute for Higher Education Policy, 2019
As the higher education landscape has expanded beyond issues of access and affordability to include an emphasis on student completion and employment outcomes, accreditors can play a leadership role in advancing this important change. A shift to student success that rightfully centers in part on closing equity gaps between low-income students and…
Descriptors: Educational Improvement, Accreditation (Institutions), Data Use, Academic Achievement
Agarwal, Nikhil; Somaini, Paulo J. – National Bureau of Economic Research, 2019
Preferences for schools are important determinants of equitable access to high-quality education, effects of expanded choice on school improvement and school choice mechanism design. Standard methods for estimating consumer preferences are not applicable in education markets because students do not always get their first choice school. This review…
Descriptors: School Choice, Models, Educational Quality, Data Analysis
Yang Sun; Rui Wang; Bo Feng – International Journal of Information and Communication Technology Education, 2024
With the rapid development of internet technology, the importance of data in various industries has become increasingly prominent. However, in the field of domestic education, especially the research on teaching quality evaluation is relatively sparse. This paper aims to build an evaluation model of physical education teaching quality with big…
Descriptors: Physical Education, Physical Education Teachers, Teacher Effectiveness, Educational Quality
Tezel, Kadir Vefa – Online Submission, 2021
Assessing the quality of education is a vital stipulation for all graduate programs that aim to secure and bolster their current rank among similar programs. Program evaluation is usually carried out by parties not directly related to a program. In other words, outsiders evaluate programs. Insiders who have first-hand experiences and impressions…
Descriptors: Program Evaluation, Educational Quality, College Faculty, Graduate Students
Decuypere, Mathias; Landri, Paolo – Critical Studies in Education, 2021
University rankings have become commonplace in higher education. Traditional quantified rankings do not merely measure educational performance: they equally grant status, enforce competition between institutions, and are emblematic for the ongoing capitalization of higher education. Drawing on the field of Science and Technology Studies, this…
Descriptors: Universities, Institutional Evaluation, Educational Quality, Institutional Characteristics
Meade, Anne; Kwan, Meg – Early Childhood Folio, 2022
Weaving is a significant metaphor for kaiako in Aotearoa New Zealand. "Te Whariki" (Ministry of Education, 2017) is central to their professional lives. At Daisies Early Education and Care Centre (hereafter Daisies), the strands in Te Whariki shape the curriculum and its principles guide pedagogy and relationships. In January 2019, the…
Descriptors: Data Use, Early Childhood Education, Foreign Countries, Child Care Centers
Bautista-Puig, Núria; Orduña-Malea, Enrique; Perez-Esparrells, Carmen – International Journal of Sustainability in Higher Education, 2022
Purpose: This study aims to analyse and evaluate the methodology followed by the Times Higher Education Impact Rankings (THE-IR), as well as the coverage obtained and the data offered by this ranking, to determine if its methodology reflects the degree of sustainability of universities, and whether their results are accurate enough to be used as a…
Descriptors: Sustainable Development, Higher Education, Reputation, Institutional Characteristics
Temkin, Deborah; Thompson, Joy A.; Gabriel, Alex; Fulks, Emily; Sun, Sarah; Rodriguez, Yosmary – Phi Delta Kappan, 2021
As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…
Descriptors: Educational Environment, Data Collection, Evaluation Methods, Elementary Secondary Education

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