The impact of a LargeLanguage Model (LLM) : A qualitative study on how students and educatorsperceive the use of LLMs such as ChatGPT withinconventional university education dynamics

Sammanfattning

Integrating Artificial Intelligence (AI) tools, especially Large Language Models (LLM) such asChatGPT, into higher education represents a transformative shift in educational paradigms.These technologies enhance pedagogical methods and deeply influence student-teacherdynamics and the overall learning environment. This thesis critically examines the ethical,behavioural, and social ramifications of deploying LLMs in university settings, assessing theirpotential to improve academic outcomes and the associated risks, such as increased incidentsof plagiarism, reliability concerns, and the potential erosion of critical thinking skills.Employing a qualitative research methodology paired with a phenomenological approach, thisstudy gathers data through online surveys and semi-structured interviews with universitystudents and teachers. These methods illuminate the nuanced impacts of ChatGPT oneducational practices and student engagement. The theoretical framework guiding thisinvestigation, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), offers acomprehensive lens to evaluate the adoption dynamics of LLMs in academic environments.This framework facilitates an in-depth analysis of factors such as utility, ease of use, and theenjoyment derived from using LLM technologies like ChatGPT while scrutinizing broaderethical, social, and behavioural consequences.Preliminary findings reveal a complex interplay between technology acceptance and ethicalconsiderations. The results underscore the critical need for establishing uniform policies andrigorous ethical oversight to integrate AI tools effectively in educational settings. This studyhighlights the dual potential of LLMs to revolutionize and complicate educational processes,suggesting that successfully implementing such technologies requires balanced strategies thatprioritize innovation and ethical responsibility.This expanded inquiry not only broadens our understanding of how LLMs like ChatGPT arereshaping higher education but also serves as a foundational discussion for future research tooptimize AI applications in academic contexts while safeguarding ethical standards andfostering equitable access.