From Learners to Contributors: Redefining Bachelor's and Master's Theses in the Context of Generative AI Tools
Igor Miladinović, Sigrid Schefer-Wenzl · 2024
The integration of Generative AI (GenAI) tools, such as ChatGPT, into academic environments has raised significant questions about the traditional format and integrity of final theses, particularly in engineering studies. This paper investigates the goal of final theses and the appropriate actions to achieve them in the context of modern technological advancements. Utilizing Dettmer's methodology, we identify and analyze the underlying causes of challenges introduced by GenAI tools. Our findings highlight the need for curriculum adaptations to address these challenges effectively. These include shifting the emphasis from thesis components easily generated by AI to students' contributions from a research project. These adaptations aim to enhance the quality and originality of final theses, foster deeper student engagement in research projects, and introduce innovative, multimedia formats for thesis presentation. The proposed solutions not only uphold academic integrity but also leverage the potential of GenAI tools to enrich the educational experience.