Recognizing international students' diverse English language proficiency levels and communication needs, this project seeks to address the limitations of the traditional one-size-fits-all approach to language education by using generative AI tools such as Copilot to provide personalized learning experiences for ESOL (English for Speakers of Other Languages) students.
The project features an 8-week generative AI-assisted intervention that allows students to customize their learning experiences by selecting relevant modules and using AI-generated materials to develop targeted communication skills. The intervention includes: (1) an introductory module that covers generative AI applications in personalized learning, associated risks, ethical considerations, and effective prompt engineering; and (2) seven modules that focus on essential aspects of communication such as vocabulary, grammar, reading skills, listening skills, writing skills, oral communication, and cross-cultural communication.
Throughout the project, students will complete pre- and post-intervention surveys, engage in routine reflections and participate in post-intervention focus group discussions. Information from these data sources will be used to evaluate the impact of the current intervention and inform future iterations.
The project incorporates Universal Design for Learning (UDL) principles, which promotes diversity, equity, and inclusion by catering to individual learning needs. It fosters motivated, strategic, and resourceful learners by allowing students to take ownership of their learning through personalized content. Additionally, it supports students in developing digital fluency and professionalism by training them to use AI tools ethically and effectively. The project has the potential for scalability across disciplines. It could be iterated with future ESOL courses or adopted as a resource for various programs at Humber Polytechnic, with possibilities for interdisciplinary collaboration.
Longo Faculty of Business
Faculty of Liberal Arts & Sciences
Team Members
Thi Thanh Truc Le (lead)
Redwan Siddiqui (collaborator)