Based on the self-determination theory (SDT), this evaluates the effects of generative artificial intelligence (Gen-AI) on learning performance within China's education sector, emphasizing the roles of social interaction, utilitarian benefit, knowledge acquisition, and epistemic curiosity. The study employs a dual method, using PLS-SEM and fsQCA…

Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…

Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…

Classroom discourse is an essential vehicle through which teaching and learning take place. Assessing different characteristics of discursive practices and linking them to student learning achievement enhances the understanding of teaching quality. Traditional assessments rely on manual coding of classroom observation protocols, which is…

As artificial intelligence (AI) transforms workplaces, understanding how future graduates engage with AI technologies is crucial for enhancing employability. This study investigates higher education students' familiarity with and perceptions of generative artificial intelligence (GenAI) in their learning. Using the Technology Acceptance Model…

Objective: The current project aims to identify individuals in urgent need of mental health care, using a machine learning algorithm (random forest). Comparison/contrast with conventional regression analyses is discussed. Participants: A total of 2,409 participants were recruited from an anonymous university, including undergraduate and graduate…

This study explores the effects of embedding Socio-Scientific Issues (SSI) into vocational design education on students' ethics awareness, social responsibility, and design performance. A mixed-methods quasi-experimental design was employed, involving 80 vocational design students divided into an experimental group (SSI-based workshop) and a…

The objective of this research is to develop the architecture of the inquiry based learning platform with Generative AI (IBL platform with Gen-AI) in order to promote remembering and understanding skills for dental public health students. The platform developed in this research is based mainly on the principles of inquiry based learning, which…

This paper examines the possibility of combining serious games with AI-generated scenarios to improve education and training for tech startups. In the ever-changing and highly competitive field of entrepreneurship, it is crucial to adopt innovative methods to provide aspiring startups and team members with the necessary skills and knowledge to…

This study explores the impact of ChatGPT on educational efficacy using the Stimulus-Organism-Response (SOR) model with supportive concepts from the Self-Determination Theory (SDT) and the Technology Acceptance Model (TAM). To understand how Perceived Autonomy, Perceived Competence, Perceived Relatedness, Perceived Ease of Use, and Perceived…

The purpose of this research is to provide a first-person account of the dynamics and needed adaptations in an academic's transition from being a doctoral student to a doctoral supervisor. By employing autoethnography, this study explores the inner experiences, challenges, and insights encountered in the process of developing a supervisory…

The integration of artificial intelligence (AI) into language education is rapidly transforming instructional practices and learner engagement. Within the domain of second language acquisition, pronunciation plays a crucial role in achieving communicative competence and intelligibility. Recent advancements in AI technologies offer promising…

This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…

Artificial intelligence (AI) is evolving rapidly, transforming how people learn, work, and live on an unprecedented scale. Jobs for the Future (JFF) believes that AI has the potential to accelerate economic advancement for everyone--but only if it is intentionally designed to do so. As AI transforms society, this population-specific spotlight…

Like many student writing centers, the American University of Sharjah Writing Center is seeing a rise in student reliance upon generative AI (GenAI) tools, which are artificial intelligence systems capable of generating human-like text. Peer tutors frequently seek guidance on how to approach student papers involving GenAI tools such as ChatGPT,…