Artificial intelligence has evolved since its inception in the 1950s, resulting in the creation of large language models that are trained on extensive data sets to understand and generate content, such as OpenAI's ChatGPT, which launched in November 2022. Modern technology that is easy to access and free to use, like ChatGPT, is changing the…

Large language models such as ChatGPT can be seen as a major threat to reliable assessment in higher education. In this point of departure, I argue that these tools are a major game changer for society at large. Many of the jobs we now consider highly skilled are based on pattern recognition that can much more reliably be carried by fine-tuned…

This paper analyses the relationship between translational technology and learning outcomes and investigates the type of translational technology most beneficial towards students' translations of legal texts. This study tests whether differences were found in the learning outcomes of legal text translation for students with high and low placement…

[This paper is part of the Focused Collection in Investigating and Improving Quantum Education through Research.] The modern physics course is a crucial gateway for physics majors as it provides an introduction to concepts beyond the scope of the K-12 education. This study collected 167 modern physics syllabi from 127 U.S. research-intensive…

This study examines the extent to which instructions to self-explain vs. "other"-explain a text lead readers to produce different forms of explanations. Natural language processing was used to examine the content and characteristics of the explanations produced as a function of instruction condition. Undergraduate students (n = 146)…

Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…

The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…

We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify…

The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…

Although machine translation software and CAT tools are commonly used both by professional translators and by those involved in the training of translators, the usefulness of electronic text corpora for these purposes is less widely known. Corpora of various types have become much easier to access during the last decade, and the main obstacle to…

The article sets out to develop the concept of attention as a key aspect to building the possible therapeutics that Bernard Stiegler's recent works have pointed to (The Automatic Society, 2016, The "Neganthropocene", 2018 and "Qu'appelle-t-on" Panser, 2018). The therapeutic aspect of pharmacology takes place through processes…

This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance literature search accuracy, promoting the development of…

Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…

The new contexts in higher education, shifting from face-to-face to online scenarios, encourage the application of disruptive methodologies adapted to distance learning. Translation and interpreting (T&I) programmes ideally foster the acquisition of competencies such as self-study, which graduates need to enter a largely freelance 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…