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…

This comment builds on the example of chat generative pretrained transformer (ChatGPT) to discuss the implications of generative AI on industry and higher education, underlining the need for more transdisciplinary digital literacy education. The release of ChatGPT has generated significant academic and professional interest and instigated a…

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.…

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…

Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…

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…

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…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…