Generative AI in Education

This subject encompasses a comprehensive understanding of both the theoretical and practical aspects of implementing AI in educational settings. Through gamification, and multimodal modules online, students will learn to apply different frameworks and theories of digital teaching and ethics to consider the ethical implications of generative AI in order to consider aspects of data privacy, fairness and bias, accessibility and sustainability. They will learn to analyse and articulate the fundamental concepts and technologies underpinning AI including machine learning, neural networks and generative AI to assess the advantages and challenges in education and in the classroom. Students will learn to design and evaluate AI-driven interventions for classroom settings ensuring they cater to diverse learners and principles of digital wellbeing, employing tools and platforms to prototype AI-driven educational solutions. They will engage with and evaluate current research on AI’s impact on education, identifying gaps, methods for human accountability and potential areas for future exploration. Drawing on this literature students will be able to innovate and propose AI-driven solutions to longstanding educational challenges, based on research insights. They will use these skills to predict potential developments in the AI in education domain, identifying emerging trends and technologies to prepare them for the evolving educational landscape, imagining how AI can be harnessed for future educational challenges and opportunities.