Technology that uses transformer topologies of machine learning techniques to create new content is known as generative artificial intelligence (genAI). It's crucial to consider the background of generative artificial intelligence's ascent in education. Through a literature review, expert interviews, expert review, and the Delphi technique, this…

This paper presents a comprehensive framework for AI-enhanced curriculum development in rare earth elements (REE) education, addressing critical workforce gaps across K-12, higher education, and veteran transition programs. As global demand for critical minerals escalates amid geopolitical tensions and supply chain vulnerabilities, we propose an…

With growing expectations to use AI-based educational technology (AI-EdTech) to improve students' learning outcomes and enrich teaching practice, teachers play a central role in the adoption of AI-EdTech in classrooms. Teachers' willingness to accept vulnerability by integrating technology into their everyday teaching practice, that is, their…

This book explores how artificial intelligence (AI) is reshaping higher education through practical, real-world strategies and grounded research. It begins with accessible introductions to key concepts--such as generative AI, machine learning, and natural language processing--before progressing to theoretical frameworks and empirical studies of…

The rapid emergence of agentic artificial intelligence (AI) systems represents a paradigm shift in military operations, demanding fundamental transformation of US military education. This paper presents a comprehensive framework for reskilling and redesigning military education to address critical workforce readiness gaps in the era of autonomous…

"Smart Universities in Smart Cities: Shaping the Future of Education and Urban Innovation" focuses on how higher education institutions are adapting to the challenges of the digital age in a world increasingly influenced by technology and sustainability. Universities are becoming an indispensable element of smart cities, driving forward…

"Teaching Literature with Artificial Intelligence" explores the use of chatbots as participants in the teaching and learning of literature in high school and college classrooms while highlighting potentially outmoded norms and expectations of ELA instruction. Artificial intelligence programs have profoundly altered the daily realities of…

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…

Background/purpose: Programming education faces persistent challenges, including high attrition rates, low student engagement, and difficulty grasping abstract concepts. Innovative pedagogical strategies are needed to support today's diverse learners better. Game-Based Learning (GBL) has emerged as a promising approach that uses interactive and…

As artificial intelligence technology becomes more integrated with foreign language education, understanding how learners regulate their engagement with these technologies is critical. Grounded in Control-Value Theory, this study investigates Chinese university students' AI-assisted self-regulated learning practice in the context of English as a…

The present study investigates the interplay between EFL teacher-student interactions, AI-powered classroom integration, learners' emotional health, and depression in Chinese English majors. A total of 529 students participated voluntarily, completing four validated instruments: the AI-Enhanced Learning Environment Assessments Questionnaire, the…

Traditional content-based assessment systems, which depend on the score as a key criterion for students' evaluation, have proven to have many drawbacks, especially with the development of learning methods in recent years. Based on these developments, there is a need to adopt new assessment methods to assess the actual skills of students in the…

Predicting students' learning outcomes is one of the main topics of interest in the area of Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning methods has been successfully applied for solving a variety of predictive problems. However, it is of utmost importance for both educators and data scientists to…

Technical and professional communication (TPC) and user experience (UX) design are often seen as intertwined due to being user-centered. Yet, as widening industry positions combine TPC and UX, new streams enrich our understanding. This article looks at three such streams, namely, design thinking, content strategy, and artificial intelligence to…

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…