Making our graduates ready for the AI era through multimodal learning & teaching

This paper proposes a multimodal learning and teaching approach to prepare university graduates for the AI era. The rapid advancement of artificial intelligence (AI) has transformed the job market, necessitating a shift in higher education. Multimodal learning integrates visual, auditory, and kinesthetic modalities to enhance the learning experience. By incorporating diverse instructional materials such as text, images, videos, and interactive simulations, students gain a comprehensive education that better equips them for the complexities of the AI era.

This paper will begin by discussing the benefits of multimodal learning and teaching in education. Then, it will propose a framework for designing learning tasks that fairly assess students' ability to apply their knowledge and skills in real-world applications. The proposed assessment will use natural language processing and computer vision. Finally, this paper will provide some practical recommendations for teachers to implement multimodal approaches in higher education institutions, ensuring that university graduates are well-prepared to thrive in the AI era.