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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
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
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
Da-Wei Zhang; Melissa Boey; Yan Yu Tan; Alexis Hoh Sheng Jia – npj Science of Learning, 2024
This study evaluates the ability of large language models (LLMs) to deliver criterion-based grading and examines the impact of prompt engineering with detailed criteria on grading. Using well-established human benchmarks and quantitative analyses, we found that even free LLMs achieve criterion-based grading with a detailed understanding of the…
Descriptors: Artificial Intelligence, Natural Language Processing, Criterion Referenced Tests, Grading
Alam, Tasfiq E.; González, Andrés D.; Raman, Shivakumar – Journal of Applied Research in Higher Education, 2023
Purpose: The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget. Design/methodology/approach: Firstly, DEA models are used to evaluate the…
Descriptors: Benchmarking, Departments, Data Analysis, Decision Making
Kuhfeld, Megan; Diliberti, Melissa; McEachin, Andrew; Schweig, Jon; Mariano, Louis T. – NWEA, 2023
Numerous headlines have proclaimed just how far behind students have fallen since the COVID-19 pandemic first shuttered schools in March 2020. Many of these headlines report test score changes in "months (or years) of learning" from recent studies. Despite the accessibility (and therefore popularity) of the "months of learning"…
Descriptors: Achievement Gains, Benchmarking, Performance, Student Evaluation
Gary Mundy; Karen Parry; Sarah Vaughan – British Journal of Guidance & Counselling, 2024
The number of families in England choosing to withdraw their children from school has grown significantly since 2016. In this manuscript, we present findings from action research with purposefully sampled home educating young people (n = 9), parents/carers (n = 16), staff from Career Connect (n = 4), staff from schools and colleges (n = 4), staff…
Descriptors: Benchmarking, Home Schooling, Action Research, Withdrawal (Education)
Zama M. Mthombeni – Discover Education, 2024
The pursuit of decolonial scholarship in academia can be impacted by the pressure to attain international recognition as a requirement for academic promotion. Academic promotion for scholars is often linked to publishing in "high-impact journals," which frequently lack African representation. This paper critically examines the…
Descriptors: Decolonization, Foreign Countries, College Faculty, Researchers
Shawnteeha Boyd – ProQuest LLC, 2024
Rising rates of chronic absenteeism across the nation underscore the need to explore the impact of attendance on the foundational literacy skills of kindergarten students. The absence of young learners from school jeopardizes essential instruction pivotal for literacy development. This study draws on a quantitative correlational approach and…
Descriptors: Attendance, Kindergarten, Young Children, Reading Achievement