Using GenAI in complex tasks: catalysing self-evaluation, learning through feedback, and iterative collaboration in chemical engineering design

Abdul Sharif*, Mark Haw

*Corresponding author for this work

Research output: Contribution to conferencePresentation/Speechpeer-review

Abstract

Through projects created by MSc/MEng Chemical Engineering students, we explore collaboration between learners and genAI tools in activities of differing degrees of complexity, from a decision analysis assessment to an open-ended process design. Interacting with the AI tool (ChatGPT) leads students to a deeper critical evaluation and improvement of their own understanding, by provoking their own feedback on the AI’s performance. Particularly in the more complex multistage design task this leads to an iterative use of the AI tool to refine the design, combining the student’s advancing understanding of the task with increasingly focussed, useful ‘help’ from the AI.
Original languageEnglish
Publication statusPublished - 25 Feb 2025
EventAdvanceHE Artificial Intelligence Symposium 2025
: Generative AI in higher education: Challenges, opportunities and risks
- Online
Duration: 25 Feb 202525 Feb 2025

Conference

ConferenceAdvanceHE Artificial Intelligence Symposium 2025
Abbreviated titleAdvanceHE AI Symposium 2025
Period25/02/2525/02/25

Keywords

  • self evaluation
  • complex tasks
  • collaboration

Fingerprint

Dive into the research topics of 'Using GenAI in complex tasks: catalysing self-evaluation, learning through feedback, and iterative collaboration in chemical engineering design'. Together they form a unique fingerprint.

Cite this