Prof. S. Joe Qin, president of Lingnan University, has published a paper outlining how artificial intelligence could reshape higher education by automating marking and tailoring feedback to individual students. The research appears in the journal Computers and Education: Artificial Intelligence.
The study focuses on the digital transformation of a liberal arts institution, arguing that AI can handle routine grading tasks, freeing instructors to focus on deeper engagement with students. This shift may address growing pressures on faculty workloads while improving learning outcomes.
Qin's paper presents a framework for implementing these tools at Lingnan University, though specific performance metrics or adoption timelines are not detailed in the source material. The work adds to a growing body of literature on AI in education.
Critics caution that over-reliance on automated systems could undermine the nuanced, qualitative feedback that human educators provide. Privacy concerns and the risk of algorithmic bias also remain unresolved issues in large-scale AI adoption for grading.
The findings suggest that liberal arts institutions can integrate AI without sacrificing their core mission of holistic education, though careful implementation will be necessary to preserve academic integrity.