Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…

There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…

Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

Background: The increasing capabilities of generative artificial intelligence (AI), exemplified by OpenAI's transformer-based language model GPT-4 (ChatGPT), have drawn attention to its application in educational contexts. This study evaluates the potential of such models in generating German reading comprehension texts for educational large-scale…

Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…

The emergence of artificial intelligence (AI) in education and religion in today's world has presented various challenges, such as plagiarisms, the credibility of AI and, its acceptance by students. This study uses an extended Technology Acceptance Model (TAM) framework to analyse Muslim students' perceptions towards the use of artificial…

Long before ChatGPT, it was an open secret that students did not always read the books they were assigned in their English Language Arts (ELA) classes, relying instead on online study guides like SparkNotes. Via a retrospective survey, our exploratory study examined (1) the rate of SparkNotes use among high-school ELA students; (2) why students…

The emergence of Artificial Intelligence (AI) within the educational context underscores a focal point, especially in the field of STEM education. A key concern lies in the extent to which ChatGPT's responses align with established STEM pedagogy and whether its limitations, such as the absence of citations and reliance on a single perspective,…

Generative artificial intelligence (GenAI) not only has the potential to aid L2 academic writing but also poses unique challenges concerning impacts and ethics. Reflection journals, which promote critical thinking and metacognitive awareness, have the capacity to guide GenAI-assisted writing, yet remain underexplored. This study examines and…

With the growth of artificial intelligence (AI) tools available to anybody with internet access, English language learners are increasingly turning to these resources to improve their writing skills. By examining their utilization of AI tools to improve their writing proficiency, this research examines the perspectives of Turkish English language…

This study aims to explore the factors influencing Norwegian high school teachers' instructional resistance to artificial intelligence (AI) in terms of age, instructional AI efficacy, and collective AI beliefs among school staff. Grounded in a robust theoretical framework that integrates technology-use models, social cognitive theory, and…

The adoption of Artificial Intelligence (AI) in higher education has rapidly accelerated as institutions have recognized AI's broader potential to streamline student services, enhance personalized learning, support faculty research, and improve operational efficiency, among other uses. In March-April 2025, WCET (the WICHE Cooperative for…

Background/purpose: This study presents the findings of an initial investigation into developing a Computational Thinking-Enhanced Assessment Tool (CTe-AT) based on computational thinking principles. Materials/methods: We conducted comprehensive interviews with 10 lecturers and another 10 students to gain a deeper insight into educators' and…

In cultural relic restoration learning, developing both knowledge proficiency and self-efficacy is essential for academic success and professional competency. However, conventional learning methods often lack interactive elements that support cognitive engagement and skill acquisition. To address this limitation, this study introduced a…