Scholarship Exchange Webinar CREME - 25 March 2026
Titles: Case Study: Exploring the Possibility of Implementing COIL for a Similar Module at Two Locations / Towards an AI Glossary Toolkit for STEM Learning in EMI
Published:
Title 1: Case Study: Exploring the Possibility of Implementing COIL for a Similar Module at Two Locations
Authors: Li Wang (QMES) and Yousef Zawahreh (SEMS)
Abstract: This pilot study has been carried out to explore the possibility of implementing Collaborative Online International Learning (COIL) into the module of Engineering Design in China and the UK. The students have been recruited from both cohorts and given the opportunity to work together as a group for their design projects. This study has used a questionnaire to assess students’ knowledge/values/skills/attitudes towards readiness for the COIL approach. The outcomes from this study will help to tackle challenges and barriers of the COIL approach and to develop strategies to apply benefit of COIL into modules’ and students’ collaborations across borders.
Title 2: Towards an AI Glossary Toolkit for STEM Learning in EMI
Authors: Yamin Abdouni, Wumi Inyang and Alan Allman
Abstract: AI-supported bilingual glossaries were developed and implemented in STEM modules delivered through English-Medium Instruction at QMES to enhance students’ understanding of subject-specific terminology in English and Mandarin Chinese. Co-created with students, the glossaries were designed to address linguistic and conceptual challenges within module content. Their pedagogic value was extended through interactive H5P activities generated with AI, which reinforce vocabulary and key concepts before and after lectures. Early student feedback has been highly positive, indicating strong engagement, improved understanding, and increased confidence. With carefully developed AI prompting, a complete module glossary and associated activities can be produced within a day, making the approach scalable and time-efficient for lecturers. The longer-term aim is to develop an AI Glossary Toolkit for colleagues at QMUL and beyond.