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APR 19 2024 15.00-17.00 (ENDED)

Advancing Language Education with AI Poster

"Discover approaches to enhance student writing through AI-enabled platforms, examine the potential for generative AI in writing curriculum redesign, and learn about pedagogical strategies and practices that integrate generative AI into language classes.


This seminar offers insights into leveraging AI technologies in language education to develop student-centred assessments and foster student engagement and personalised learning. Take advantage of this opportunity to stay ahead in the ever-evolving landscape of AI and language education."


Join our 600 colleagues and students and be informed of our speakers' experiences using the latest AI technologies and tools to promote student-centred pedagogical approaches.


Presentation Details & Speakers

1. Assessing Academic Writing with AI: Potential and Challenges

Dr YEUNG Steven, Senior Lecturer, English Language Teaching Unit, The Chinese University of Hong Kong

This presentation explores the potential and challenges of using artificial intelligence (AI) to assess academic writing. The first part will review existing research on AI applications for assessing academic writing, focusing on their benefits, limitations, and pedagogical implications. The second part will explore the use of generative AI (GenAI) in evaluating academic writing quality and scoring written assignments through mini-case studies. The findings will contribute to future research and inform pedagogical approaches.

2. Rising to the Challenge of GenAI: Redesigning UG English Courses, Writing Assignments, GenAI Writing Literacy and Feedback Adaptation

Ms GASKELL Delian, Senior Lecturer, Centre for Language Education, The Hong Kong University of Science and Technology

This presentation will report on work inspired by the necessity of addressing GenAI's challenges and the opportunity GenAI has created to enhance new ways of English language learning, which the presenter has personally been involved in over the year. We have investigated how professional and academic language courses need to be redesigned to enable the development of GenAI-empowered learning, revised writing assignments to harness the potential of GenAI tools while addressing their challenges, piloted two versions of GenAI literacy for writing modules to help language students learn to use GenAI appropriately and ethically, and experimented with a change in our feedback practices that are more student-empowered with the use of a variety of GenAI feedback bots and reflective practices to encourage student critical thinking and transparency about the benefits and challenges of learning with GenAI.

3. A Proposed Pedagogical Approach for GenAI in Language Education

Dr KOHNKE Lucas, Senior Lecturer II, Department of English Language Education, The Education University of Hong Kong

This practice-focused presentation advocates thoughtfully integrating GenAI into language education to enrich student learning. We demonstrate innovative classroom activities that utilise GenAI as a facilitator to amplify human instruction, not replace it. The proposed blended learning model emphasises critical thinking and ethical considerations when engaging with AI-generated content. Key components include teacher training for effective GenAI integration, strategies to maintain student engagement with this technology, and developing assessments that accurately measure GenAI's impact on language proficiency. This presentation explores the pragmatic implications of leveraging GenAI sound to create modern, student-centred language education environments.

Ms GASKELL Delian.jpg


Senior Lecturer

Centre for Language Education

The Hong Kong University of Science and Technology

Dr Kohnke Lucas


Senior Lecturer II

Department of English Language Education

The Education University of Hong Kong

Dr YEUNG Steven.jpg

Dr Steven YEUNG

Senior Lecturer

English Language Teaching Unit

The Chinese University of Hong Kong

Full Recording
Slide (Dr Lucas KOHNKE)
Slide (Ms Delian GASKELL)
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