Beyond traditional boundaries: The impact of Generative Artificial Intelligence on higher education

Abstract

The upcoming of Generative Artificial Intelligence has initiated a transformative era across various sectors, education being a prominent one. Especially in university settings, this technology redefines the landscape of traditional learning methodologies and experiences. This paper investigates this fact by analyzing the knowledge acquisition of students augmented by Generative Artificial Intelligence. For this purpose, we evaluate this technology via two meaningful student situations. First, we shift our focus to the journey of composing one's first scientific article, exploring the various stages from conception to completion, inclusive the complexities and hurdles encountered. Second, our research delves into the process of mastering a new programming language within the realms of Machine Learning and Artificial Intelligence, examining the intricacies and challenges involved. We evaluate the two learning situations along the three critical dimensions “Efficiency”, “Competency”, and “Creativity”, providing a holistic view of the educational differences. In the realm of “Efficiency”, the paper evaluates the speed and success rate of both learning processes. Regarding the aspect “Competency”, the focus shifts to the depth of understanding and skill acquisition. Under the purview of “Creativity”, we investigate how the approach supports students to exceed their own limits.

Keywords: Generative Artificial Intelligence, Higher education, Scientific writing, Programming

DOI: 10.54941/ahfe1005094