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Enhancing AI literacy: an online seminar series to explore generative AI in education, research and employment.


Background/rationale : to harness the opportunities that generative AI (gAI) provides for enhancing education and research, staff and students need to be AI literate. Through the work of the IoPPN gAI Task and Finish group (chaired by BPW) and discussions with post-graduate taught students, a gap has been identified in the provision of support around understanding AI and its applications. 

Project aim : to develop a series of online sessions for staff and students that promote an understanding of gAI and how it can be used effectively and ethically in education, research and the workplace.  

Project steps : online sessions will be developed and internal speakers and facilitators (staff/students) selected with the help of a consultation panel. Guest speakers (alumni) will be invited to participate in the ‘workplace’ sessions.  

The consultation panel : to avoid self-selection bias, MS forms will be used to request information about potential panel members and their reasons for wanting to join the panel. This information will enable the project team to assemble a diverse panel with equal representation from staff and students. Alumni will be invited to join the panel to inform on sessions covering AI in the workplace.  

The sessions: number, format (e.g., seminar, workshop, panel discussion) and content will be informed by the consultation panel and aligned with IoPPNs education, research and student needs. We anticipate a maximum of 5 sessions that could cover: 

  1. Using gAI effectively and ethically. 
  1. Designing gAI prompts.  
  1. Using gAI to support diversity and inclusion in education. 
  1. AI in research and the workplace, with potential representation from the healthcare profession, Bioscience research, industry, education, marketing, publishing, government.  
  1. A keynote speech from an industry professional to conclude the sessions. 

Delivery : sessions will be online and recorded, to generate an educational resource that can be used in a variety of contexts. This approach also takes into consideration our large online student cohort (>2,000), part-time students and staff who work flexibly. 


  • Sessions to equip staff and PGT students to use gAI effectively and filling a void by linking AI skills to workplace requirements. 
  • Robust, mixed method, evaluation of the effectiveness of this approach. 
  • A paper for the Faculty Education Committee focusing on participant engagement, satisfaction, impact of sessions on gAI literacy and practice.  
  • A ‘toolkit’ (e.g., how to form consultation committee, potential session ideas etc.) in case other faculties wish to use this approach.  

Research Team: BPW is an established educator with a track record in curriculum development, programme leadership, assessment, and student/staff support. RI is a module lead with research expertise in machine learning, AI models and ethics of AI. JP is the King’s Academy Lead and IoPPN liaison for Assessment & Feedback. KPN is an established educational researcher with a track record of using action research to evaluate the impact of educational innovations. RD is the IoPPN careers consultant, and JN is the IoPPN Student Experience Manager with expertise in recruitment, communication and marketing of student projects

Project status: Ongoing

Principal Investigator