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…

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…

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 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…

Language is an essential component of human communication and interaction. Advances in Artificial Intelligence (AI) technology, specifically in Natural Language Processing (NLP) and speech-recognition, have made is possible for conversational agents, also known as chatbots, to converse with language learners in a way that mimics human speech.…

This study explores the establishment of communities of practice within teaching and learning centres (TLC) as strategies for advancing faculty development in higher education, examining their implementation in the US and Europe, with a specific focus on Italy. Utilising organisational benchmarking, we employed an explanatory, comparative, and…

Author Brig Leane introduces the PLC Dashboard, a tool designed to help administrators and teachers efficiently implement the PLC at Work® process. This resource utilizes a seven-step learning cycle, complete with illustrative examples, concise templates, and reflective exercises. The dashboard helps clarify and strengthen the PLC process to…

The UK's universities matter now more than ever. They are integral to the prosperity of their local communities, regions, the UK and to the global community. They drive economic growth, equip graduates with opportunities for a more prosperous life, help solve some of the most fundamental challenges of our age, and drive social mobility across the…

One of the most significant and yet often overlooked challenges for university students is decoding what their instructors expect from their assignments. Better understanding those expectations and the vocabulary and grammar needed to achieve them are the motivations behind this investigation. Eleven experienced instructors within an Australian…

It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…

One of the effects of the COVID-19 pandemic was the rapid shift to replacing traditional, paper-based tests with their computer-based counterparts. In many cases, these new modes of delivering tests will remain in place for the foreseeable future. In South Africa, the National Benchmark Quantitative Literacy (QL) test was impelled to make this…

Purpose: This study aims to explore how the national quality assurance system pushes the obtainment of international accreditation and investigates the dual pursuit of international and national accreditations by higher education institutions (HEIs), focusing on the urgency, challenges and success factors involved in leading and managing the…