Artificial intelligence (AI) and machine learning (ML) have transformed the landscape of data management in higher education institutions, necessitating a critical evaluation of existing data privacy policies and practices. This research delves into the inadequacies of current frameworks in adapting to the swift evolution of Big Data. Student,…

This paper considers the impact of technological processes on human thought, specifically the implications of artificial intelligence (AI) on writing instruction. The main purpose of this paper is to present instructional considerations that will elevate human voice and reduce student temptations to turn to AI unreasonably to produce a piece of…

In spring of 2024, Diné College students in the course College Composition II began the semester by reading "Making Kin with the Machines" (Lewis et al., 2018), an essay by four Indigenous scholars who suggest their understanding of kinship drawn from Hawaiian, Plains Cree, and Lakota epistemologies offers a productive model for…

The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…

This paper introduces generative AI for the graphic design of student presentation aids in a university public-speaking classroom. Students learn to use generative AI as an efficient enhancement to the creative process while preserving the integrity of the content. Students' slide presentations show improvement resulting from the activity, and…

Although student advising is known to improve student success, its application is often inadequate in institutions that are resource constrained. Given recent advances in large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT), automated approaches such as the AutoScholar Advisor system affords viable alternatives to…

Recent developments in generative artificial intelligence (AI) have spurred a new sense of urgency around the transformative potential of AI in the workforce, education, and economy. Many forms of AI have long been in use in the education industry, but with the introduction of new generative AI technology (e.g., ChatGPT, Claude, Bard, and Bing),…

The last few years have witnessed significant integration of technology, particularly Information and Communication Technology (ICT) in both content as well as delivery of business courses in higher education. On the one side, the contents related to technological applications are increasingly expanding the space in business education curriculum…

In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…

While the higher education sector is continuously searching for innovative technologies, the use of chatbots requires extensive research and careful consideration of their pedagogical value. The lessons learned from lecturers who experiment with chatbots can constitute important evidence to support their use. This paper presents a chatbot…

For the special issue of the International Journal of Artificial Intelligence in Education dedicated to the memory of Jim Greer, this paper highlights some of Jim's extensive and always-timely contributions to the field: from his early AI-focussed research on intelligent tutoring systems, through a variety of applications deployed to support…

The existing Learning Management Systems (LMSs) are profoundly effective in empowering the organization of e-learning, however, lacking in usability and learnability. The complex navigation and an immature search system are catalysing the issues that needs vigorous improvement. This paper aims to enhance the usability of LMSs by introducing an…

Student success, both during and after college, is central to the mission of higher education. Within the higher-education and, more specifically, the student-success context, the core raison d'être of machine learning (ML) is to help institutions achieve their social mission in an efficient and effective manner. While there should be synergy…

The evolution of artificial intelligence (AI) technology offers promising solutions to underserved populations in the United States. AI tools can reduce college access and academic barriers for low-income students, first-generation college students, racial and ethnic minorities, individuals with disabilities, and students living in rural areas.…

Distance education between the student and the teacher through online sessions can make it difficult for a student who does not understand a concept to ask for clarification. Lack of a physical campus or social pressure from peers can demotivate students from completing their assignments. The framework of multi-intelligence English teaching based…