Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…

Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…

This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…

This paper intends to illustrate the didactic potential of Python-based Jupyter notebooks in teaching translation technology, machine translation in particular, to translation students. It discusses the basic makeup of Jupyter notebooks and shows how these notebooks can be set up for students who have had little to no prior exposure to the Python…

Previous research has suggested that some discourse relations are easier to convey implicitly than others due to cognitive biases in the interpretation of discourse. In this article we argue that relations involving a perspective shift, such as confirmation relations, are difficult to convey implicitly. We assess this claim with two empirical…

Despite the COVID-19 pandemic, the EUROCALL society succeeded in holding the 28th EUROCALL conference, EUROCALL2020, on 20-21 August as an online, two-day gathering. The transition process required to make this happen was demanding and insightful for everyone involved, and, in many ways, a logical consequence of the core content and purpose of…

This study evaluates an international collaborative project developed and practiced on the internet, as a form of SNS, focusing on how much university students from six countries worldwide participated in the project, from the viewpoint of the participants' contribution to the forum discussion of their own group's topic on education. The 66…

This contribution explores rhetorical features in 207 abstracts submitted for four international conferences in Yaounde (Cameroon), Regensburg (Germany) and Birmingham (UK). Relevant text features are retrieved from the corpus via concordance software and results are discussed in the light of their frequency of occurrence. Furthermore, the…

This study investigates the potential of a software tool based on Latent Semantic Analysis (LSA; Landauer, McNamara, Dennis, & Kintsch, 2007) to automatically evaluate complex German texts. A sample of N = 94 German university students provided written answers to questions that involved a high amount of analytical reasoning and evaluation.…