HUMAN–AI COMMUNICATION ACROSS GENERATIONS IN HIGHER EDUCATION:

Abstract

- Artificial Intelligence (AI) has significantly affected communication, education, and learning methods in higher education institutions around the world. The use of technology that includes intelligent tutoring systems, chatbots, adaptive learning programs, and generative artificial intelligence has brought new possibilities into play. However, the institutions involved in higher education involve individuals representing different generations with varied digital literacies, technophobia, and communication styles. Therefore, this paper aims to examine the involvement of AI in human communication between generations in higher education institutions internationally and especially in the Global South region. The paper analyzes existing literature on AI-driven learning, digital communication, and intergenerational interaction using an interpretative and theoretical methodology. While special emphasis is placed on the experience gained in developing countries such as India, it places the analysis within the context of wider international discourse on the role that AI could play in universities. This research considers ways in which AI can be used to facilitate better communication, promote inclusiveness in learning environments, and foster cooperation between different participants of the education process. In addition, it raises ethical questions in terms of privacy, bias, digital divide, academic cheating, and dependence on technology. In light of the findings presented, artificial intelligence is able to serve as an efficient intermediary of education communication as long as there is digital literacy, readiness, and human-focused approaches to teaching and learning. The contribution of this paper to the global debate on responsible applications of AI in education lies in its emphasis on the relationship between technology and social responsibility.