“Despite the growing body of research on artificial intelligence and Large Language Models in education, several gaps persist, including a lack of structured conceptual frameworks that integrate academic data governance and pedagogical requirements. “Thus, there is a need for conceptual models that can guide the development, governance and pedagogical integration of Large Language Models in higher education, particularly in under-represented regions and contexts,” Abanga said. “The most important contribution of my study is the proposed Academic-LLM Framework that integrates data quality, pedagogy, governance and continuous feedback,” she noted.
