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…

In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…

Material development is important for training beginner student interpreters, as it guides the direction of interpreting learning. One key principle is difficulty progression, which requires a good knowledge of the indicators of difficulty. Since text structure outweighs words and sentences in the information processing of consecutive…

In this article, we present the results of an eight-week in-class intervention, during which binomial expressions comprised of academic vocabulary (results and conclusions, facts and circumstances) were presented to intermediate-level learners of English. Constraints that govern the preferred order of highly fixed binomials were explained as the…

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…

Television is considered an important source of comprehensible input for second language learners of English and there is some evidence that L2 words can be learned incidentally by watching television. Few studies have looked at the role of TV viewing for learning formulaic sequences, despite the ubiquity of formulaic sequences in spoken English,…