This study explores the dynamics of ChatGPT on perceptions and challenges encountered by students and lecturers in a South African open distance e-learning [ODeL] university. It investigates whether ChatGPT disrupts traditional perceptions of online distance education held by students and lecturers and identifies specific functions and features of…

Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…

Still rebounding from the impact of the global pandemic, the higher education sector is being challenged even further by the next wave of Artificial Intelligence (AI) technologies. These technologies have the power to generate in a matter of seconds, quality text, images, music and coding responses to questions or prompts entered into an online…

This systematic review evaluates the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys…

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 article provides an answer to the question: 'How can ChatGPT be used as an educational technology for learning?' by identifying its educational benefits and downsides for teaching and learning as seen from the educators' perspective. To answer this question a mixed methods case study was carried out in the context of two workshops involving a…

The integration of digital instructional methods has significantly enhanced the academic system. This study explores the viewpoints of educators and students on the application of digital resources and online platforms in the aftermath of the global health crisis. The research involved 135 university students enrolled in a cloud computing course…

Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…

Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on…

The integration of digitalization in higher education is a key to increasing the number of students getting access to education in the developing world. Inspired by the fast digitalization in higher education institutes and the lack of relevant empirical studies about the impact of this rapid digitalization on the learning behavior of students, we…

Purpose: This study explores the impact of new technologies, such as simulation and virtual reality, on the pedagogy and learning of engineering students. It aims to compare the effectiveness of these digital tools against traditional teaching methods in enhancing student learning experiences. Design/methodology/approach: Utilizing a quantitative…

Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…

Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has…

The research aims to investigate the influence of integrating innovative teaching technologies on the effectiveness of the educational process and student motivation. This article employed a quantitative research design utilizing a questionnaire. The total number of participants in the study was 150 students. Participants were divided into…

The present research explores AI's impact on education among Mexican undergraduate students through a non-experimental, correlational, cross-sectional study. A validated public questionnaire was distributed to 840 students via Google Forms from February to May 2024. Analysis revealed significant AI exposure and use patterns, primarily influenced…