In this study, I explore the transformative potential of artificial intelligence (AI) and emerging technologies in higher education, focusing on case studies and pedagogical innovations that are reshaping the learning experience. Through an in-depth analysis of key initiatives -- such as Stanford University's AI-driven personalized learning…

A qualitative case study focused on understanding what steps are needed to prepare the cybersecurity workforces of 2026-2028 to work with and against emerging technologies such as Artificial Intelligence and Machine Learning. Conducted through a workshop held in two parts at a cybersecurity education conference, findings came both from a…

What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students'…

Key findings, analysis and recommendations that have emerged from a research project, 'Using Human Language Technology to enhance academic integrity, inclusivity, knowledge exchange, student diversity and retention' at the University of South Australia conducted in 2019 are discussed in this article. The primary purpose of the project was to…

Chatbot usage is evolving rapidly in various fields, including higher education. The present study's purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student's question. A pretest-posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to…

This paper proposes a human-centered approach to using Artificial Intelligence (AI) in higher education that promotes equitable access to knowledge while preserving privacy and ethics. Through the lens of third-generation Activity Theory we examine the interaction between three activity systems in higher education: AI teachers, human teachers, and…

The purpose of this exploratory research study was to examine the roles instructional designers (IDs) play in the integration of generative Artificial Intelligence (GenAI) into their higher education institutions, and how they use GenAI technologies in their own professional practices. Data were collected from 15 participants in the United States…

This article argues that ethical authorship is essential for the ethical use of artificial intelligence (AI). It examines tensions that historical understandings of authorship have created as instructors and students alike navigate AI technologies. Given these tensions, this article proposes a definition of "ethical authorship" and uses…

Since it was released on November 30, 2022, ChatGPT has offered numerous opportunities for higher education professors to improve their course offerings. However, not all information provided by the application is accurate. The application has been known to yield highly inaccurate information with high confidence. Yet, with that knowledge, ChatGPT…

This initial qualitative study used in-depth interview data from students to examine their perceptions of ChatGPT and intentions regarding using artificial intelligence (AI) in higher education. The students were sampled across business programmes at both the undergraduate and postgraduate levels at an International University in the UAE. As of…

The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment…

The inception of Super Smart Society 5.0 marks a pivotal epoch in which technological advancements such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain technology stand at the forefront of redefining the educational landscape. This article delves into the implications of this paradigm shift for higher education,…

Natural science subjects have always been the most challenging for students in schools and universities. While the pandemic brought about a lot of new challenges, it also gave academics the chance to test out evaluation methodologies they had previously thought about but hadn't used in a relatively low-risk setting. The programmed learning…

This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…

Artificial intelligence (AI) holds significant implications for higher education; however, references to AI in the literature are often vague and open to debate. In order to understand how to progress AI-related research and analysis, this critical review systematically searched top higher education journals for references to the term 'artificial…