This article brings together data from two complementary studies of the teaching of writing in Australia. Mobilising motifs of the hum and the hive to think together how our projects resonate, the authors highlight a key concern that emerges across both studies: the absence of real-world audiences for student writing in contemporary pedagogy.…

Artificial intelligence (AI) has garnered considerable interest in the field of language education in recent times; however, limited research has focused on the role of AI in the specific context of register knowledge learning during English language writing. This study aims to address this research gap by examining the impact of ChatGPT, an…

Today, in every academic institution as well as the university system assessing students' performance, identifying the uniqueness of each student and finding solutions to performance problems have become challenging issues. The main purpose of the study is to predict how student performance changes as a result of their behaviours, hobbies,…

A qualitative documentary research of software and multimedia artificial intelligences was chosen to enable the ontological understanding of the object of study that aims to explore the potential for learning through Artificial Intelligence (AI). Besides, it is shown how AI, as a novel component within the digital education landscape, contributes…

Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students' submissions, this paper examined in detail how EFL students interacted with the…

Background: Vocabulary scores increase until approximately age 65 years and then remain stable or decrease slightly, unlike scores on tests of other cognitive abilities that decline significantly with age. Aims: To review the findings on ageing-related changes in vocabulary, and to discuss four methodological issues: research design; test type;…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

A key feature of embodied education is the participation of the learners' body and mind with the environment. Yet, little work has been done to review the state of embodied education with Artificial Intelligence (AI). The goal of this systematic review is to examine the state of human and AI's triad engagement in education, that is the mind, body,…

Artificial Intelligence (AI) has triggered profound reforms across industries, including education. These developments necessitate the inclusion of AI as a subject in K-12 classrooms. However, the need for students to learn AI demands that educators pay increasing attention, believe in its relevance and intend to promote it among their students…

This article investigates an artificial intelligence language model, ChatGPT, and its ability to complete graduate-level instructional design assignments. The approach subjected ChatGPT to a needs, task, and learner analysis for a 12th-grade media literacy module and benchmarked its performance by expert evaluation and measurements via grading…

This study surveyed 445 primary, secondary, and higher education teachers to understand their usage of AI tools in the classroom. Results revealed that while teachers generally have a positive attitude toward AI in education, only 25% of them have actually incorporated AI-based tools into their teaching. Moreover, the most common used tools were…

The empirical link between children's cognitive ability and parental risk attitudes has been understudied. Specifically, an individual's educational outcome may reflect the decisions made on their behalf by parents, reflecting their risk attitudes. This paper aims to fill gaps in the existing literature by investigating whether parental risk…

This article weighs in on the developing discourse on AI's role in higher education research through a structured dialogue between two diametrically opposed academics. Utilising a dialectical framework, the discourse transcends surface-level debates to grapple with ethical, methodological, and epistemological questions that are often overlooked,…

This study aimed to examine the unique longitudinal role of theory of mind (ToM) on reading comprehension among primary school children, while controlling for other influencing factors. It also examined how this impact varies by grade, text genre, and processing level. A sample of 430 Chinese children in Grades 2, 4, and 6 was observed over a…

The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an…