The Digital Education Unit is responsible for leading on the strategy, policy and practice for digital education.
Key responsibilities of this function include:
- supporting staff in using technology to enhance student learning through workshops, individual advice and involvement in School-wide and University-wide initiatives
- designing, developing and evaluating innovative digital learning tools and platforms
Check our Centre for Teaching Enhancement (CTE) pages:
- courses
- recognition and career progression
- course enhancement
- learning technology
- staff development and continuing professional development (CPD)
- student engagement (including student surveys)
- Personal Academic Tutor
- staff successes
- ESJF (Education for Social Justice Framework)
- meet the team
- past events
- contact us
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Generative AI (GAI) is a branch of artificial intelligence that focuses on creating new content or data from scratch, such as text, images, music or speech. Large language models are a type of generative AI that use deep neural networks to learn from large amounts of text data and generate coherent and fluent text on various topics and domains. Large language models can be used for various Natural Language Processing (NLP) tasks, such as text summarisation, question answering, text generation and more.
These recent developments present a number of opportunities and challenges for teaching, learning and assessment. The Centre for Teaching Enhancement (CTE) team has contributed to the ongoing debate raising awareness among colleagues with a number of initiatives:
- co-ordinating the development of staff and student guidance on the use of GAI
- running a series of webinars on GAI Basics, the implications of GAI on teaching, learning and assessment and the GAI tools available at London Met
- facilitating a staff forum on the topic of GAI
- co-ordinating a university-wide GAI steering group with representation from all schools and key professional services (Library, Academic Integrity, Academic Quality Department)
More information on GAI and links to session recordings can be found on the Teaching Success Hub on Weblearn.