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…

This study explores technical and professional communication (TPC) students' design of multimodal career portfolios, focusing on their strategies amid technological advancements and shifting workplace dynamics. The study analyzed 155 artifacts from 31 students, including resumes, video resumes, cover letters, LinkedIn profiles, and rhetorical and…

This study examines how 10 pre-service teachers from a teacher education institution in Manila integrate ChatGPT into their academic tasks and navigate the resulting moral dissonance. Through semistructured interviews, the findings reveal that while ChatGPT is employed for paraphrasing, organizing ideas, information retrieval, and simplifying…

Entrepreneurship education is growing because of innovative technologies such as artificial intelligence (AI)-based business simulation and gamification. However, there are different responses to gamification-based learning. This study aims to identify the factors that influence learning in gamified business simulation using the self-determination…

Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…

Reading practice is crucial for students with reading difficulties, but locating texts for reading practice can be time-consuming for teachers. Artificial intelligence (AI) tools (e.g., ChatGPT) can rapidly create text according to specified parameters, but the application of creating content for reading intervention has not been examined. We used…