The emergence of generative artificial intelligence tools, such as ChatGPT, presents new challenges impacting student perceptions of academic integrity. While extensive research exists on academic misconduct and student perceptions of various infractions, there is limited understanding of how AI tools impact these views and whether their use…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…

In this essay, I suggest that we should embrace generative artificial intelligence (GenAI) writing tools, particularly chatbots (e.g., ChatGPT, Copilot, Claude), because they can enable linguistic equity by leveling the academic playing field for English as an additional language students. As writing experts, we can find ways to use this…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

Knowledge tracing models have enabled a range of intelligent tutoring systems to provide feedback to students. However, existing methods for knowledge tracing in learning sciences are predominantly reliant on statistical data and instructor-defined knowledge components, making it challenging to integrate AI-generated educational content with…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…

Online learning in civic education (OLCE) has been going on since the 2000s. It has become an increasingly interesting topic in light of recent technological advances and emergencies, and it contributes to improving the quality of learning processes and outcomes. This study aimed to track the publication trends of OLCE in the Scopus database…

The study examined the association of big five personality traits (i.e., conscientiousness, openness to experience, and neuroticism) with use of Generative Artificial Intelligence (GenAI) among university students. It also examined the moderating role of perceived fairness in grading on the relationships of personality traits with GenAI usage.…

This article explores the ways in which teacher educators can strengthen the developing teacher assessment identity of preservice teachers who are at the precipice of Industry 4.0, where work with Artificial Intelligence (AI) and assessment will require flexible thinking. This reflective case study narrative outlines a teacher educator's…

This paper presents a scoping review of the literature on educational neurotechnology, examining its types, methods, applications, opportunities and challenges. A total of 4236 articles were identified from PubMed, ScienceDirect, Scopus, Web of Science and ERIC, with 471 peer-reviewed studies selected and analysed following PRISMA guidelines and…

This intervention study strived to uncover the significance of Artificial Intelligence (AI) in L2 classrooms by exploring its impact on English language learners' achievement emotions and willingness to communicate (WTC). The study also examined the interrelationship between English learners' achievement emotions and their WTC in AI-powered…

Grounded in Self-Determination Theory (SDT), this study investigates how pre-service language teachers' psychological needs (autonomy, competence, relevance) influence their behavioural intentions to adopt AI, with AI literacy and self-efficacy as mediators. Structural equation modelling analysis of 562 Chinese pre-service language teachers…

This systematic review examines the impact of artificial intelligence (AI) interventions on mathematics education, focusing on studies published after 2020. A total of 14 empirical studies were selected based on inclusion criteria that emphasized AI's role in enhancing student learning outcomes, engagement, and teaching practices. The review…