Research project

Exploring the impact of AI-driven writing of engagement in climate change

Project overview

This interdisciplinary project aims to investigate the impact of Large Language Model (LLM)-based story-writing assistants on diverse users and audiences, with a particular emphasis on climate action. Harnessing recent advancements in Artificial Intelligence (AI), the project explores how AI-powered storytelling tools can effectively engage students in climate change education. By enabling creative and interactive story-writing, these tools aim to deepen students' understanding of climate issues, foster personal connections to these challenges, and inspire active participation.

The ultimate goal is to empower learners to adopt a proactive stance on climate action by co-creating knowledge and building the motivation to drive meaningful change. Through this innovative fusion of AI and education, the project seeks to inspire students to become informed, motivated, and active contributors in addressing the pressing challenges of climate change.

Staff

Lead researchers

Dr Tan Viet Tuyen Nguyen

New Frontiers Fellow

Research interests

  • Human-centered Artificial Intelligence
  • Social Human-Robot Interaction
  • Multimodal Perception and Interaction
Connect with Tan Viet Tuyen
Other researchers

Dr Bindi Shah PhD, FHEA

Associate Professor

Research interests

  • A key question that Bindi is interested in asking is: What shapes citizenship and a sense of belonging to the nation amongst immigrants and established ethnic minority communities?
  • Bindi is also interested in exploring the role of social capital for developing interdisciplinary solutions to climate crisis and biodiversity loss for marginalised communities.
Connect with Bindi

Dr Chiying Lam BEd, MA, PhD, FRSPH

Lecturer in Community Music and Scl Jstc

Research interests

  • Post-colonial discourses of power & identity within the music practitioners' community
  • Musicians' pedagogical practice
  • Music education research methods
Connect with Chiying

Mr Gyanendro Loitongbam PhD

Research Fellow

Research interests

  • the application of Natural Language Processing tasks,
  • multimodal text analysis,
  • sentiment analysis on social media data,
Connect with Gyanendro

Research outputs