In our first application, we demonstrated to

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This module, which serves as an innovative alternative to the traditional dissertation, challenges students to address real-world sustainability issues posed by our partner organisations, which are integral learning stakeholders. By integrating generative AI into this module, we position it as another crucial stakeholder in learning that helps develop key employability skills and provides insights into managing sustainability challenges. This blog focuses on two specific examples where we successfully applied generative AI in the capstone project module learning activities.

Students how to use generative AI as research assistant. We introduced students to tools like Connected Papers and Consensus, which helped them locate relevant papers within tunisia consumer email list their project questions. Additionally, we introduced Elicit, an AI tool that allows students to search, summarise, extract data from, and interact with, academic papers. This approach helped students move beyond traditional search methods like Google Scholar, offering a more integrated way to conduct a comprehensive literature search. This is particularly beneficial in the capstone project module, given that research questions and challenges are provided by client organisations, providing a more structured and specific area of focus for the literature search. Further, we also demonstrated the use of AI tools such as ChatGPT to design questionnaires and conduct data analysis, equipping students with modern tools to handle various research tasks.