Jane Secker, Luis Pereira, Julie Voce and Simon Hayley
Generative Artificial Intelligence (AI) “…. is a broad label that’s used to describe any type of artificial intelligence (AI) that can be used to create new text, images, video, audio, code or synthetic data.” (Techopedia, 2023) It has evolved rapidly in the last year, since the launch of ChatGPT3.5 in November 2022 and Google Bard and ChatGPT4 in March 2023.
AI has significant implications for teaching, learning and assessment across higher education in different disciplines. In the MA in Academic Practice, we are exploring using AI tools with learners and have introduced several activities to our modules to allow learners to critically evaluate these tools. For example, we use a lesson plan generated by ChatGPT for students to critically analyse the Learning Outcomes. We highlight the strengths and limitations of the tool as well as considering how to implement AI in their teaching practices.
For another module, we asked GPT to write an essay on the benefits and challenges that AI presents to assessment in higher education. Our programme strongly focuses on developing digital and information literacy, therefore we believe AI tools like ChatGPT should be part of our teaching activities. The session will include LEaD staff and members of the Generative AI working group at City, who will then run world café discussions to explore the following topics:
– What policies, strategies and approaches are we taking individually, as a department and institution towards the use of generative AI by students in assessment?
– Do we need a new AI literacy to help staff and students? What are the ethics of using AI? And do we understand or need to understand how they work?
– How can we support staff and students learn about Generative AI? What sort of guidance do we need? The session will end with a summary of the world café discussions and staff will be provided with further information about the progress of the AI Working Group and it’s next steps towards developing policies and guidance at City on the use of Generative AI.
This session aims to give delegates a clearer idea of the challenges and opportunities that Generative AI brings. By the end of the session delegates will be able to:
– Critically evaluate the value, impact and use of Generative AI in higher education
– Review the challenges and opportunities that it presents for assessment in higher education
– Explore strategies and approaches for using it in their teaching The session will start with an overview of some of the key features of Generative AI tools and the challenges and opportunities this offers to teaching, learning and assessment in Higher Education. (10 minutes)
The team will then share some ideas of how we are embedding these tools into our programme – the MA in Academic Practice. (10 minutes)
We will then run world café discussions (30 minutes – 3 tables with 3 topics) to actively involve our audience in the discussion about the best approaches to using AI in HE.
We will end with a final wrap up from the world café, summarising briefly the discussions under each heading and letting the delegates know about the ongoing work of the working group on Generative AI at City. (10 minutes)
Adams, D., & Chuah, K. (2022). Artificial intelligence-based tools in research writing: Current trends and future potentials. Artificial Intelligence in Higher Education, , 169-184.
City University (2023) Generative Artiifical Intelligence and learning and teaching. Available at: https://cityuni.sharepoint.com/sites/cs_CityLearningTeachngPortal/SitePages/generativeai.aspx
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating. ensuring academic integrity in the era of ChatGPT.
Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? rethinking of plagiarism detection. arXiv Preprint arXiv:2302.04335,
McGee, R. W. (2023). Annie chan: Three short stories written with chat GPT. Available at SSRN 4359403,
Techopedia (2023) Generative AI Available from: https://www.techopedia.com/definition/34633/generative-ai