An Introduction to Generative AI for Human-Centred Integration and Organisational Literacy (January to March 2025)

Module Lead: Dr Steven Watson

This 30-credit master's level course is designed for professionals looking to enhance their understanding of generative AI and its integration into educational and organisational settings. The course begins with a foundational exploration of the technical aspects of AI, covering essential concepts such as neural networks, diffusion models, and large language models. Participants will consider how generative AI processes context, meaning, and semantic structures, and its role in human communication and interpretation.

The course highlights the societal and educational implications of generative AI, examining its potential in various applications like content transformation, pedagogy, curriculum, translation, educational support, and emotional interpretation. Ethical considerations, including bias, misinformation, data privacy, and environmental impacts, are integral to the curriculum, ensuring participants can implement AI solutions responsibly.

Participants will also design and evaluate a small-scale AI integration project, employing participatory and research-based approaches to create meaningful, ethical applications within their organizations.

Unique Features

• Emphasis on developing generative AI literacy
• Opportunities for international collaborative research
• Engagement with interdisciplinary experts,including leading researchers and media professionals
• Access to the latest generative AI technologies
• Accredited by the University of Cambridge, Faculty of Education

Course Structure

• Level: Master's Level 7 (30 credits)
• Duration: Six weeks online or three months in Cambridge
• Format: 32 hours of expert-led teaching and self-study

Course Sessions

• Session 1: Introduction to Generative AI - Understand the fundamental technologies behind generative AI, including neural networks and large language models
• Session 2: Generative AI in Education and Society - Explore generative AI’s role in processing meaning from a linguistic, sociological and philosophical perspective and the role of generative in communication
• Session 3: Practical Applications - Investigate AI’s use in pedagogy, curriculum, assessment, translation, educational support, emotional interpretation, and administrative functions
• Session 4: Ethics and Integration Projects - Address ethical considerations and design a small-scale AI integration project

Assessment

Participants will complete a 4,000-word project, designing and implementing a pilot AI integration project. This practical assignment will contribute original insights to the fields of education and technology.