Sociological assessment practices for college students in the age of generative AI

A shift towards synthesis-based assignments

Abstract

With the prevalent use of generative AI tools, such as ChatGPT and Gemini for educational purposes by students, traditional assignments that are easily answerable by automated systems must be revisited. This paper advocates for a paradigm shift towards synthesis-oriented assignments that emphasise transferable skills such as critical thinking, systems thinking, collaboration, and project building. By adapting assessment methods to align with the demands of an AI-driven era, educational institutions can better prepare students for the complex challenges of the future and equip them to navigate evolving educational landscapes with rigor and innovation. The paper focuses on revisiting assessment methods within the social sciences, specifically sociology, for college-level students.