This article unpacks the computational thinking for digital technologies (CTDT) technological area of the New Zealand primary curriculum that became mandatory in 2020. It explores computational thinking (CT), its place in the New Zealand primary curriculum, and elements kaiako can utilise to help implement the teaching of CT. The article considers…

Verb-marking errors are a characteristic feature of the speech of typically-developing (TD) children and are particularly prevalent in the speech of children with Developmental Language Disorder (DLD). However, both the pattern of verb-marking error in TD children and the pattern of verb-marking deficit in DLD vary across languages and interact…

The article revisits the canonical (Dem>Num>A>N) and non-canonical (A>Dem>Num>N & Dem>A>Num>N) prenominal patterns in Mandarin Chinese, from the perspective of the Labeling Algorithm. It shows that the syntactic distribution of adjectives are different, depending on the attributive-predicative sources and the…

Over the last 30 years, there has been substantial debate about the practical, ethical and epistemological issues uniquely associated with qualitative data sharing. In this paper, we contribute to these debates by examining established data sharing practices in Conversation Analysis (CA). CA is an approach to the analysis of social interaction…

In this brief forum article, I draw from the disciplinary orientation of linguistic anthropology to discuss how a collection of linguistic and semiotic resources gets "enregistered" as the "language" for specific communicative activities. Enregisterment is an ongoing social and ideological process whereby a semiotic corpus gets…

Although computational models can simulate aspects of human sentence processing, research on this topic has remained almost exclusively limited to the single language case. The current review presents an overview of the state of the art in computational cognitive models of sentence processing, and discusses how recent sentence-processing models…

While there are several studies analysing how mathematics education is portrayed in news media discourses, there has been little examination of the construction of different stakeholders (e.g. teachers, parents, curricula). In this paper, we report our analysis of a corpus of Canadian newspaper reports on mathematics education, focusing on the…

As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…

We introduce the Corpus of Spoken Yiddish in Europe (CSYE), an Open Access digital language archive based on several hundred testimony interviews with Holocaust survivors from the USC Shoah Foundation. The testimonies are a uniquely rich source of information on all aspects of European Yiddish: its regional dialects, grammatical structures,…

This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation.…

ChatGPT, an artificial intelligence (AI) language model, holds significant promise for improving the quality and efficiency of teaching and learning. However, its potential challenges and disruptions in education systems require further investigation for a deeper understanding and mitigation. Given that ChatGPT is already being utilized and…

We are encouraged by Cobb's (2022) description of changes to the Morpholex profiling tool (https://www.lextutor.ca/cgi-bin/morpho/lex/) resulting in more accurate word classifications. This addresses one point in our recent commentary on Morpholex and on Laufer and Cobb's (2020) study using Morpholex (McLean & Stoeckel, 2021). However, Cobb…

The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment,…

In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as "Science," have banned the use of LLMs because of the ethical problems they raise concerning…

We collaborated to investigate humor in the existing corpus of Kere (ISO639-3: sst). This collaboration was a useful test of the Kere corpus and led to the rediscovery of unarchived video recordings, which contained important contextual information. These videos had been deprioritized in the original deposit, but they contained important…