In the 1990s, educators advocated for projects in statistical courses to enrich student learning. Prior research showcases the positive impact of Project-Based Learning (PBL), where students complete course-driven projects. In agreement with this perspective, we implemented PBL methodologies within two statistical courses at a North American…

Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…

Machine and prompt-based Artificial Intelligence (AI) learning has made significant evolution profusely. In education, it has revitalized researchers and educators to scout out subsequent advantages for optimizing learning results. Chiefly, Generative AI has exhibited substantial potential as a tool for language augmentation. This study aims to…

The current study proposes a new approach to weakness identification in diagnostic language assessment (DLA) for speaking skills. We also propose to design actionable and contextualised diagnostic feedback through the systematic integration of feedback and remedial learning activities. Focusing on lexical use in second language speaking, the…

The integration of Artificial Intelligence (AI) in education offers transformative opportunities for personalized learning and efficient instructional practices. However, the successful adoption of AI in classrooms is contingent upon teachers' preparedness, technological literacy, and understanding of ethical considerations. This study examined…

This article examines the use of artificial intelligence (AI) in early childhood education from a rights-based perspective, drawing on a critical interpretive synthesis (CIS) of the literature published between 2019 and 2025. A typology of four uses in early childhood -- Tutor, Tool, Companion, and Tracker (THCR) -- is proposed and each category…

We report an intervention, performed during the Fall of 2024, in which a large language model artificial intelligence chatbot was introduced as a tool for pre-exam study and postexam reflection within an honors general chemistry course (CHEM 110H) at Penn State University. Through a combination of a structured 75 min instructional session and…

Preparing new teachers for the reality of artificial intelligence in education (AIEd) has become a pressing issue. This study was conducted in a Canadian teacher education program that offers a course on digital technologies incorporating a module on AIEd. This paper addresses two research questions: 1) What were teacher candidates' (TCs')…

This study aims to investigate the artificial intelligence (AI) literacy levels of pre-service teachers and their views on the use of AI in education. Adopting a mixed-methods approach, the study employed both quantitative and qualitative techniques to ensure comprehensive analysis. The quantitative data were collected using the "Artificial…

The commitment to accessibility serves as a catalyst for developing and implementing practices that prevent barriers and can better allow for inclusive participation with the world around us. Unfortunately, the importance of accessibility does not always equate with commitment and compliance. While there has been a slow-moving effort to increase…

This paper provided a review of 210 studies on AI-enhanced special education from 2013 to 2023. Through bibliometric analysis, this review aimed to explore trends, focus areas, developments, and evolving themes of the field of AI for enhancing special education. Several noteworthy findings emerged from our analysis. The trend analysis of…

This study examined the relationship between trust in AI-powered educational technology (AI-EdTech) and school burnout among Turkish high school students and the mediating role of perceived usefulness and academic stress in this relationship. A total of 619 students (M[subscript age] = 15.95, SD = 0.94) participated in the study, and structural…

This study investigates how generative AI technologies influence pre-service teachers' pedagogical thinking and instructional design practices within a vocational education context. Drawing on a qualitative framework, the research engaged students in a task-based learning environment that integrated tools such as ChatGPT and image generators into…

This study explores students' perceptions of their engagement with interactive technologies in STEM classes at an applied technology school in the United Arab Emirates (UAE). Specifically, the interactive technology (IT) involves artificial intelligence and virtual reality, along with collaborative digital platforms that incorporate AI elements…

Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…