Recent years have seen a flourishing of Natural Language Processing models that can mimic many aspects of human language fluency. These models harness a simple, decades-old idea: It is possible to learn a lot about word meanings just from exposure to language, because words similar in meaning are used in language in similar ways. The successes of…

General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…

Many studies on professionalization research deal with the question of how teachers actually learn or how teacher change occurs. In this context, Clarke and Hollingsworth (2002) describe a model for capturing teacher change in different domains (external, personal, domain of practice and domain of consequence) and how changes in one domain can…

This text critically examines traditional methodologies for teaching grammar in the context of Portuguese as a Foreign Language (PFL). It proposes an alternative, eclectic approach, which can be used in any foreign language. Drawing on evidence from research and pedagogical practices, it highlights areas for improvement in current approaches, such…

The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…

Saussure proposed the division language/parole and argued that language can be studied as a formal system. Fifty years later Chomsky declared competence the core interest of linguistics. Although for years Generative second language acquisition (GenSLA) has adopted this view, a number of recent publications poke holes into the competence bubble.…

Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…

The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…

In this paper I review three models of language that have dominated language learning and teaching in the last 40 years: the textual model, the information exchange model, and the multilingual model. I analyze each one and consider how it stacks up to instances of language use in a globalized world. I then propose moving beyond the metaphors of…

How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…

Research suggests that translanguaging can be transformative for teaching and learning by making students' diverse linguistic resources a meaningful part of classroom discourse. Building on this study, researchers have explored how translanguaging practices can support learning in STEM (science, technology, engineering, and mathematics), primarily…

Research in second language acquisition and the learning of mathematics has matured through long, albeit disconnected, histories. This study examines how theories and models of second language acquisition can be applied to the learning of mathematics and, through this, develops a novel framework defining stages in the learning of mathematics. This…

Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…

Bilingual language control refers to how bilinguals are able to speak exclusively in one language without the unintended language intruding. Two prominent verbal theories of bilingual language control have been proposed by researchers: the inhibitory control model (ICM) and the lexical selection mechanism model (LSM). The ICM posits that…

This study aims to investigate how a group of Chinese university teachers developed their cognitive models by using "English as a Foreign Language (EFL) teachers" metaphors. The research method includes an open-ended questionnaire, a checklist questionnaire, and verbal reports. The goal for this research is twofold. First, we will…