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Judith Glaesser – Field Methods, 2025
In qualitative comparative analysis, as with all methods, there is a question about how many cases are needed to make an analysis robust. In deciding on the number of cases, a key consideration is the number of conditions to be analyzed. I suggest that adding cases is preferable to dropping conditions if there are too many conditions relative to…
Descriptors: Comparative Analysis, Robustness (Statistics), Sampling, Case Studies
Chen Zhan; Srecko Joksimovic; Djazia Ladjal; Thierry Rakotoarivelo; Ruth Marshall; Abelardo Pardo – IEEE Transactions on Learning Technologies, 2024
Data are fundamental to Learning Analytics (LA) research and practice. However, the ethical use of data, particularly in terms of respecting learners' privacy rights, is a potential barrier that could hinder the widespread adoption of LA in the education industry. Despite the policies and guidelines of privacy protection being available worldwide,…
Descriptors: Privacy, Learning Analytics, Ethics, Data Use
Chen Qiu; Michael R. Peabody; Kelly D. Bradley – Measurement: Interdisciplinary Research and Perspectives, 2024
It is meaningful to create a comprehensive score to extract information from mass continuous data when they measure the same latent concept. Therefore, this study adopts the logic of psychometrics to conduct scales on continuous data under the Rasch models. This study also explores the effect of different data discretization methods on scale…
Descriptors: Models, Measurement Techniques, Benchmarking, Algorithms
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Educational and Behavioral Statistics, 2025
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
Michael E. Young; Megan Miller; Christopher Urban; Claudia Petrescu – Discover Education, 2024
Higher education is awash with data that, when refined, facilitates data-informed decisions. Such decision-making is much more prevalent in support of undergraduate education given the much larger number of undergraduates pursuing higher education in contrast to the much smaller proportion of graduate students. A simple extension of current…
Descriptors: Graduate Study, Masters Programs, Decision Making, Benchmarking
Charmaine Davis; Kathryn Lawson; Lisa Duffy – Australian Educational Researcher, 2025
Widening participation in higher education has led to the global expansion of universities, increased student and program diversity, and greater provision of flexible pathways into university. Critical to supporting a growing student body is helping all students develop their ability to communicate confidently and effectively in their academic…
Descriptors: Foreign Countries, Higher Education, College Students, Student Participation
Bahar Radmehr; Tanja Kaser; Adish Singla – Journal of Educational Data Mining, 2025
There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the learner's ability to generalize skills across tasks. In…
Descriptors: Generalization, Reinforcement, Computer Simulation, Artificial Intelligence
Burinskiene, Aurelija – International Journal of Learning and Change, 2023
The author investigated the application of lean management system in production enterprises and highlighted the main differences between traditional management and lean management systems. Many classical qualitative methods are used for benchmarking both systems. However, classic techniques consider costs accumulation but do not include time…
Descriptors: Models, Benchmarking, Costs, Efficiency
Michael W. Gmeiner; Adelina Gschwandtner; Richard McManus – Higher Education Policy, 2025
We study the pay of chief executives of higher education institutions in the UK, known as Vice Chancellors (VCs), over a ten-year period. As different institutions might have different missions and follow different performance objectives, we use the LASSO method in a novel way to choose which performance parameters are most strongly associated…
Descriptors: Foreign Countries, Benchmarking, Universities, College Administration
Sanjaya Mishra; Nitesh Kumar Jha; Kaushal Kumar Bhagat – Journal of Learning for Development, 2025
The benchmarking toolkit for Technology-Enabled Learning (TEL) developed by the Commonwealth of Learning (COL) is designed to assess TEL practices in higher education institutions. This study evaluated the content validity, internal consistency, and inter-domain relationships of the toolkit using a survey of 355 practitioners across 21…
Descriptors: Benchmarking, Technology Uses in Education, Higher Education, Educational Practices
Leifeng Xiao; Kit-Tai Hau; Melissa Dan Wang – Educational Measurement: Issues and Practice, 2024
Short scales are time-efficient for participants and cost-effective in research. However, researchers often mistakenly expect short scales to have the same reliability as long ones without considering the effect of scale length. We argue that applying a universal benchmark for alpha is problematic as the impact of low-quality items is greater on…
Descriptors: Measurement, Benchmarking, Item Sampling, Sample Size
Jhon Jairo Ocampo Cantillo; Lira Luz Benites Lazaro – International Review of Education, 2024
This article provides an overview of the evolving agenda surrounding the fourth Sustainable Development Goal (SDG 4), dedicated to education. The authors examine the transformation of its guiding principles via the introduction of new priorities, benchmarks and modes of governance. Drawing on theoretical and methodological insights from political…
Descriptors: Educational Change, Sustainable Development, Needs Assessment, Benchmarking
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2024
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
Sheng Bi; Zeyi Miao; Qizhi Min – IEEE Transactions on Learning Technologies, 2025
The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…
Descriptors: Grammar, Models, Questioning Techniques, Graphs
Marianna Zielenska; Magdalena Wnuk – Minerva: A Review of Science, Learning and Policy, 2025
Drawing on the critical discourse analysis of journals and working papers from 2011-2020 referring to the at-risk of poverty or social exclusion composite indicator (AROPE), we shed light on how benchmarks technicize academic discourse, particularly in its part contributed by economists. First developed to measure progress towards the poverty…
Descriptors: Benchmarking, Measures (Individuals), At Risk Persons, Poverty

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