Using Generative AI and ChatGPT for improving the production of distance learning materials

Mikroyannidis, Alexander; Sharma, Nirwan; Ekuban, Audrey and Domingue, John (2024). Using Generative AI and ChatGPT for improving the production of distance learning materials. In: 24th IEEE International Conference on Advanced Learning Technologies (ICALT 2024), 01-04 Jul 2024, Near East University, Nicosia, North Cyprus, IEEE Computer Society, (In Press).

Abstract

This paper explores the use of Generative AI and ChatGPT for improving the production of distance learning materials. We have conducted participatory design workshops involving cross-disciplinary teams of academics and different stakeholders, such as industry partners and learning material designers that are involved in course production at the UK Open University. The main outcome of these workshops is a set of use cases on how Generative AI tools, such as ChatGPT, can be integrated and augment the existing course production and delivery processes to make them more agile and efficient. Following the workshops, we have developed a proof-of-concept tool that can instantly generate introductions and summaries of course material, automatically generate quizzes and tests, as well as automatically identify, categorise, and transform learning activities. A preliminary evaluation performed with members of the course production teams indicated that in 40% of cases AI generated text of 250-500 words is suitable for use in distance learning materials. Overall, the evaluation participants welcome this use of Generative AI, but there are concerns mainly centred on potential for bias, misinformation, and copyright infringement in the generated learning materials.

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