Integrating Generative Artificial Intelligence Across the Curriculum in Higher Education: Multi-Disciplinary Case Studies

Abstract

The advent of generative Artificial Intelligence (Gen-AI) has transformed the way higher education is delivered. Gen-AI is rapidly changing how students engage with learning resources, with academics adopting these tools in the classroom to provide insightful lessons and scalable solutions that enhance educational outcomes across disciplines. We use the Technological Pedagogical Content Knowledge (TPACK) framework to discuss the types of knowledge teachers require to effectively use GenAI tools in their teaching. This paper reports on five case studies from an Australian higher education institution examining the integration of Gen-AI across various academic disciplines in higher education, demonstrating its impact on teaching methodologies and creating innovative educational experiences. Throughout these diverse case studies, we show how Gen-AI tools can be used to enhance academic skills, foster creativity, and address pedagogical challenges. Each case study reveals the complexities and potentials of Gen-AI in educational settings, including the development of critical thinking skills and understanding Gen-AI’s limitations. We describe how Technological Knowledge, Pedagogical Knowledge and Content Knowledge of teachers has impacted the use of Gen-AI in the classrooms.