Development and Application of Artificial Intelligence Literacy Through BERT-Based Knowledge Engineering

A new BERT-based system is proposed and applied in real teaching scenarios in higher education aiming to enhance the researcher's and students' programming efficiency. The research and learning of academic landscapes are transformed from conventional teaching methods or approaches to innovative ones, especially influencing the Higher Education (HE) context. AI exploration raises common sense worldwide and gradually becomes a lifelong learning objective. This study aims to explore the evolution of AI literacy pedagogies for both students and researchers in the two teaching styles universities in higher education scenarios. Some innovative teaching activities are implemented to enhance the researchers' and students' AI literacy. The theoretical framework (‘conversational framework’) employed in the study plays a role as the rationale for the engineering pedagogy. The experimental results and collected teaching data indicate that the system can assist both the students' and researchers' learning interests and learning efficiency.