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…

In this paper we document the various strategies universities have undertaken or are currently undertaking in their Indigenising practices across the Australian higher education sector by screening university websites for their strategies, principles and initiatives. It serves as a vital stocktake, audited in November 2023, for institutions aiming…

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…

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…

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"…

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.…

Centralized (re)assignment of workers to jobs is increasingly common in public and private sectors. However, these markets often suffer from distributional problems. We propose a new strategy-proof mechanism that efficiently improves individual and distributional welfare over the status quo. We justify our constructive and practical approach by…

Using data from the 2019 Community College Survey of Student Engagement (CCSSE) 3-year cohort, this article presents a validation study of the 2017 version of CCSSE. Exploratory and confirmatory factor analyses were implemented to investigate the psychometric properties and construct validity with strategies to address missing data. Eight…

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…

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…

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…

Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is…

Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…

Summer camps in the United States operate in different contexts and formats to attract and serve youth with varying backgrounds. Overall, they currently serve more White, able-bodied, middle- to upper-class youth than youth of color, LGBTQ+ youth, youth with differing physical abilities, and other diverse identities (American Camp Association,…

This paper introduces REFLECTSUMM, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of REFLECTSUMM is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, with potential implications in the opinion summarization…