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…

Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a…

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…

This paper offers a comprehensive survey of translation ethics within the theoretical frame of Lady Welby's meaning triad concerning the relationship between ethics and translation in the meaning process of sign activities. The paper mainly discusses such aspects as: (1) the relationship between meaning triad and translation ethics, (2) upward…

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…

The last two decades have seen a significant amount of interest in bilingual language learning and processing. A number of computational models have also been developed to account for bilingualism, with varying degrees of success. In this article, we first briefly introduce the significance of computational approaches to bilingual language…

Research on multilingualism and the acquisition of language(s) faces numerous challenges given its inherently interdisciplinary character. This discussion will focus on the notion of internal context, a concept that forcefully demonstrates the need for integrating linguistically-oriented research with cognitive research in general. Investigating…

Artificial Intelligence (AI) plays a vital role in the growth and progress of education. Therefore, there is a need to scientifically explore the application of Artificial Intelligence in Education (AIED) and systematically analyze the development trends and research hotspots of AIED to provide reference for researchers. In this study, 1356…

The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…

The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…

This paper aims to discuss old and contemporary perspectives in understanding language acquisition taking into account the neural theory of language. Discussing a recent theory by Kuhl (2010), neural substrates of first language learning will be put forward (Berwick et al., 2013). Neural substrates of phonetic learning, word learning, sentence…

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.…