The personalization of curriculum plays a pivotal role in supporting students in achieving their unique learning goals. In recent years, researchers have dedicated efforts to address the challenge of personalizing curriculum through diverse techniques and approaches. However, it is crucial to acknowledge the phenomenon of student forgetting, as…

Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…

In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…

Despite the advancements in blockchain and FinTech, more research must be done on the strategies and processes used to develop curricula for advanced professions, particularly in collaboration with industry partners. This study investigates the methods and processes used to develop an online "Blockchain & FinTech" curriculum for…

This study explores generative mechanisms of curriculum design from a human-centred perspective, with a focus on the integration of Artificial Intelligence (AI) into engineering education. As curricula evolve to meet the demands of a technologically advanced and globally connected society, it is crucial to preserve the educational values rooted in…

This paper presents a comprehensive framework for transforming K-12 education through systematic AI integration, addressing critical gaps in curriculum development and teacher preparedness. Drawing from extensive analysis of federal initiatives, including the 2025 White House Executive Order on advancing AI education, and synthesizing insights…

This study presents an inclusive K-12 AI curriculum for elementary schools, focusing on six design principles to address gender disparities. The curriculum, designed by the researchers and an elementary teacher, uses tangible tools, and emphasizes collaboration in solving daily problems. The MANOVA results revealed initial gender differences in AI…

Our approach to teaching introductory artificial intelligence (AI) unifies its diverse core topics through a theme of machine learning, and emphasizes how AI relates more broadly with computer science. Our work, funded by a grant from the National Science Foundation, involves the development, implementation, and testing of a suite of projects that…