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…

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,…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

Although an increasing amount of research has focussed on the relationship between student language proficiency and English-medium instruction (EMI) programme outcomes, there has been little focus on the broader assessment of progress and learning within EMI programmes, especially in Asia. The purpose of this study was to determine the kinds of…

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…

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…