Generative AIs such as Google Bard are known to be equipped with techniques and grammatical principles of human language based on a large corpus of text and code that allow them to generate natural-sounding language, and also identify and correct grammatical errors in human-written texts. Still, they are not perfect language generators, and this…

Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…

Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…

The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…

Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of…

Various forms of humor are an important aspect of social interactions, even at an early age. Humor comprehension is a repertoire that is said to emerge between the ages of 7 and 11 years, and this is primarily attributed to a child's level of cognitive development. The behavioral literature has suggested that various forms of complex verbal…

Having students write reflections has been shown to help teachers improve their instruction and students improve their learning outcomes. With the aid of Natural Language Processing (NLP), real-time educational applications that can assess and provide feedback on reflection quality can be deployed. In this work, we first evaluate various NLP…

Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…

Three experiments explored how retrieval practice and corrective feedback affect a third language (L3) vocabulary learning. In the first two experiments, Chinese-English bilinguals without prior French language experience studied English (Second Language, L2)--French (L3) word pairs in repeated studying or retrieval practice without (Experiment…

Current research on the in-class discursive realities in English as a Medium of Instruction (EMI) classrooms has been mostly restricted to whole class scenarios, whereas student-student interactive discourse in task-based activities is largely ignored. This study explores peer interactions among university students in an EMI marketing course in…

Text chat facilitates L2 use by providing learners with extended time to plan, monitor, and process production during interactional tasks. However, learners may not naturally take advantage of these affordances, especially for providing peer feedback. This study used video-enhanced chat scripts to examine the behavior of beginner L2 Spanish…

Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…

Second language learners constitute a significant and expanding portion of the global population and there is a growing demand for tools that facilitate language learning and instruction across various levels and in different countries. The development of large language models (LLMs) has brought about a significant impact on the domains of natural…

In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…

Previous research has uncovered that, despite the omnipresence of focus in utterances, children typically do not compute the exhaustivity inference associated with cleft(-like) syntactic focus constructions at adult-like levels before 7 years of age. Children's comparable limitations with lexically triggered scalar implicatures, inferences with an…