Pedagogy and AI (1): Exploring Generative AI Tools for teaching and research

Are you interested in understanding better the ways in which AI might inform the content, delivery and assessment of your teaching? PRiA and DCCH invite you to an event exploring and demystifying the pedagogical implications of AI in the arts and humanities through practical demonstrations and informal conversation. This is a drop-in event: booking is not required, but in order to gauge numbers and areas of interest, those planning to attend are asked to complete this Expression of Interest form [UoL login required].

Programme

Colleagues joining us to share their practice include:

AI-assisted creative concept and idea generation (Francisco Queiroz, School of Design)

Creative concepts for advertising and communication design are often result of the exploration and combination of distinct topics and themes around a strategic objective. MA Advertising and Design students are encouraged to engage with generative AI tools to expand on traditional frameworks such as morphological matrix and concept board, iteratively exploring concepts in verbal and visual formats

Active Learning Approaches to Teaching with AI Voice Generators (Katie Gardner, Schools of Music and PCI)

In this demonstration, you will have the opportunity to test varied AI voice generator applications and to reflect upon how active learning approaches to teaching with these technologies might enable you to explore the ethical, equitable and transparent use of algorithmic technologies alongside surfacing digital creativity skills relevant to your discipline.

Generative Imaginaries: AI and Photography (Michael Schofield and Simon Popple, School of Media and Communication)

Michael Schofield and Simon Popple will explore the role of generative image visualisations and the ways in which working with generative tools can be used to explore issues of representation, authorship and digital ontologies. You will be able try two tools- Midjourney and DALL.E 3.

The Prospects of AI in Data Analysis (Hosam Al-Samarraie, School of Design)

The application of AI to facilitate data analysis holds great promise for both PGT and PGR students, offering ease of learning. Our aim is to acquaint our students with the most effective methods for comprehending various research designs and identifying suitable approaches to assess the feasibility of their research solutions. This encompasses evaluating methodological appropriateness and interpreting data. Our goal is to simplify the understanding of scientific processes by providing concise generative instructions that students can apply and engage with beyond the classroom setting. We look forward to sharing our practices with you and learning how we can further incorporate AI to enhance the development of research skills among our students.

Using Automated Feedback in Minerva (Dan McKinnie, AHC Digital Education Enhancement Team)

The AHC Digital Education Enhancement Team will show you how you can save time from reviewing written assignments using the Feedback Fruits AI-powered tool that provides instant, formative feedback on students' academic writing skills.

Working with 'Teachable Machine' (Joanne Armitage and Chris Birchall, School of Media and Communication)

Joanne and Chris will discuss their experiences experimenting with training data and creative hacking for digital pedagogies.