Abstract
Since the beginning of 2023, the advent of OpenAI’s ChatGPT and other generative artificial intelligence (Gen AI) software has created huge challenges for teachers of English for General Academic Purposes (EGAP). Owing to the nature of Year 1 academic writing as providing students with a set of generic and transferable university study skills, written assessments – particularly the Year 1 general academic essay – come under attack and are increasingly rendered ineffective as an assessment practice, as students could easily input assigned topic into Gen AI software, which would generate answers with minimal student effort. Such a situation is obviously undesirable as it is a waste of valuable educational resources on all stakeholders. This presentation examines how one EGAP course in a large Hong Kong university adapted to the advent of this new technology by revising its assessment scheme. It aims to take a closer look at how different aspects of the EGAP course’s assessment scheme – from the number and method of assessment, to individual rubric descriptions, to standardization of grading practice in the face of unauthorised use of Gen AI – and discuss the strategies and rationale for change. The changes will also be discussed in relation to received feedback in order to assess the effectiveness of the revision.
Presenters
Man Long ChanLecturer, English Language Teaching Unit, The Chinese University of Hong Kong, Hong Kong Yuet Ying Olive Cheung
Senior Lecturer, English Language Teaching Unit, The Chinese University of Hong Kong, Hong Kong
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
GEN AI, CHATGPT, ASSESSMENT, EGAP, ELT, YEAR 1
