In the rapidly evolving landscape of higher education, traditional assessment methods face significant challenges, including bias, inconsistency, and time consumption. This poster presents an innovative project at The Chinese University of Hong Kong (CUHK) aimed at integrating generative Artificial Intelligence (AI) into the assessment process.

The primary objective is to develop an adaptive AI-assisted assessment platform that empowers educators to enhance grading with improved accuracy, consistency, objectivity, and reduced time. While AI is a powerful tool, many educators encounter technical barriers that hinder its full potential. Our user-friendly system supports both point-to-point marking and grading, which utilizes descriptive criteria in assessments, enabling educators with limited technical skills to effectively use AI in both single assessments and large-scale evaluations.

Commencing in late 2024, the development follows a two-phase approach. The initial phase involves backend system development and frontend interface design, focusing on seamless AI integration into the assessment workflow. The second phase will involve comprehensive testing across diverse academic settings. By the time of the poster presentation in March 2025, we anticipate completing the core system and conducting initial testing with interested faculty members.
While full implementation is still underway, the potential impact is significant. By streamlining the use of existing AI in grading, the system aims to reduce educator workload, enhance feedback timeliness, and improve assessment quality. Importantly, AI serves as an assistant and cannot replace human educators; quality assessment still requires teachers to review and verify results.

Authors:
Otis Lam, The Chinese University of Hong Kong, Hong Kong

About the Presenter(s)
Dr. Otis Lam is currently a lecturer at the Centre for Learning Enhancement and Research at the Chinese University of Hong Kong, where he focuses on the application of AI in teaching and the professional development of teaching staff members.

Connect on Linkedin
https://www.linkedin.com/in/otislam/

See this presentation on the full schedule – Tuesday Schedule

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