Using data from approximately 342,000 course-taking records collected from 4406 college students enrolled at Taipei Tech during the 2009-2012 academic years, we examine the impact of multidisciplinarity on students' academic performance. Our study contributes to the literature in three ways. First, by applying natural language processing (NLP), we…

The significance of interdisciplinary learning has been well-recognized by higher education institutions. However, when teaching interdisciplinary learning to junior undergraduate students, their limited disciplinary knowledge and underrepresentation of students from some disciplines can hinder their learning performance. ChatGPT's ability to…

In the fall of 2020, McGill University (Montreal, Canada) launched a graduate diploma that focused on legal translation. The Graduate Diploma in Legal Translation (GDLT) aims to train the next generation of legal translators and jurilinguists in Canada. One of the main pillars of the GDLT is the formal and comprehensive interdisciplinary approach…

Recent developments in natural language processing have led to the creation of large language models, such as ChatGPT, which could generate human-like text. In this paper, we explore the potential implications of ChatGPT for language learning in higher education. We first provide an overview of ChatGPT and discuss its capabilities and limitations.…

Non-governmental development organizations (NGDOs) are responsible for ensuring basic human rights for socially marginalised people. In situations of migration, people's opportunity to regularise their migratory status and to secure their fundamental rights to key public services is entirely dependent on communication with the local…

For well over a century, the journal "Science Education" has been publishing articles about the teaching and learning of science. These articles represent more than just a repository of past work: they have the potential to offer insights into both the history of science education as well as well as the dynamics of field-specific change.…

There has long been a disconnect between the labour market for translators and translator education. Most research on this disconnect focuses on either industry or education in isolation, leaving the problem unsolved. To address this gap, this study examines both industrial and educational perspectives on transdisciplinarity in translators' domain…

The development, use, and timely promotion of Open Education (OE) has been effective in addressing myriad educational concerns, including inclusivity, accessibility and learning achievement, among many others. However, limited information exists in the literature concerning how OE could enhance Generative Artificial Intelligence (GenAI), which is…

People are increasingly aware that metacognition can help us solve problems more effectively. Scholars believe that students' metacognition can be facilitated by promoting the interplay between the unlimited long work memory for holding schemas and limited work memory for processing ongoing activities. In this study, a workshop designed teacher…

Massive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper…

The complex nature of remote interpreting (RI) demands a multidisciplinary approach. The present article focuses on telephone interpreting (TI) in the light of the most relevant disciplines to suggest a coherent theoretical and methodologic framework. This approach will contribute to analysing TI components and mechanics, both for research…

Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science…

The paper aims to explore the impact of interdisciplinarity on sight translation training in scientific and technical domains. The authors concentrate on the distinctive features of transdisciplinarity and explain the concept of "weak" (used as a practical means) and "strong" transdisciplinarity (complex impact through several…

Examinations of the words we use in our daily lives have shown that certain linguistic patterns may be indicators of underlying depressogenic schemata. The Linguistic Inquiry and Word Count (LIWC) and multidimensional scaling (MDS) have been used as methods of computerized text analysis to yield insight into how people's language use may be…

We report on an experiment carried out among master's students in specialised translation involved in an authentic translation project at the University of Grenoble Alpes. With a view to designing an authentic translation environment for future translators, a collaborative and ergonomic dimension was integrated into translator training. Ergonomics…