Featured Presentation [1] — AI Integration into an EAP Course

Marc LEBANE [Staff Profile]

Associate Director & Senior Lecturer

English Language Teaching Unit

The Chinese University of Hong Kong

 

Empowering the AI-Assisted Student: Core Strategies for Collaboration, Evaluation, and Metacognitive Literacy

This presentation will focus on the findings of an active research study on the integration of Artificial Intelligence (AI) into a fintech engineering course over the past two years. The investigation uncovered both advantages and disadvantages associated with AI, including its impact on writing instruction, critical thinking development, and student perceptions.

 

The presentation will discuss strategies for effectively utilising the potential of AI in education, focusing on practical approaches to maximise its benefits while minimising its risks.

 

Key strategies include:

• Educating students about the capabilities and limitations of AI tools.

• Evaluating the accuracy and reliability of AI-generated feedback.

• Fostering collaboration between humans and AI systems.

• Developing students' metacognitive awareness through the utilisation of Metacognition-Based Student Feedback Literacy (MSFL), enabling them to assess and make informed decisions about AI use effectively.

 

Keywords: AI in Education; Student Feedback Literacy; Metacognitive Awareness; EdTech Integration

 

About the Featured Speaker

Marc LEBANE serves as Associate Director and Senior Lecturer in the English Language Teaching Unit (ELTU) at The Chinese University of Hong Kong. Over a 25-year career in higher education, he has focused on the design and implementation of courses integrating educational technology and design thinking. A recipient of multiple awards for his research and teaching in educational technology, he is a UGC Teaching Excellence Fellow and an Associate Member of the International Federation of National Teaching Fellows.

 

Featured Presentation [2] — AI Integration into GE Courses

Dr Kam Moon PANG [Staff Profile]

Senior Lecturer

Office of University General Education

The Chinese University of Hong Kong

 

An AI-Scaffolded Approach to Reading the Classics in the Dialogue Courses

Reading-intensive, discussion-based courses rest on a fragile assumption: that most students arrive having genuinely understood a difficult primary text on their own. In practice, this rarely holds, and tutorial discussion suffers. This talk reports on a project addressing the problem within two general education foundation courses built around demanding classics.

 

I will present an AI-supported system grounded in cognitive theory, structured around a "scaffolding-and-release" sequence: the tool first models lower-order comprehension, then higher-order analysis, before progressively withdrawing support so students take the intellectual lead. After describing the modular architecture and our evaluation methodology, I will demonstrate the prototype model and invite the audience to try it. I close by considering how both the pedagogical model and the accompanying open toolkit can extend to other reading-intensive courses across CUHK.

 

About the Featured Speaker

Dr Kam Moon PANG received his BSc from The University of Hong Kong, MPhil and PhD from The Chinese University of Hong Kong. He has been working in the Office of University General Education as a Senior Lecturer since 2012. His research interests include general education, traditional Chinese astronomy, and popular science education. He received the Exemplary Teaching Award from the Faculty of Science of CUHK (2010), the Exemplary Teaching Award in General Education from SCGE of CUHK (2011), and the Shaw College Award for Outstanding Teaching Performance (2019, 2023, 2025).