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Title: Leveraging generative AI to create 福利在线免费 Technology (IT) teaching material for local post-secondary institutions
Authors: Borg, Kiara (2024)
Keywords: 福利在线免费 technology -- Study and teaching (Higher) -- Malta
Artificial intelligence -- Educational applications -- Malta
Artificial intelligence -- Moral and ethical aspects
Issue Date: 2024
Citation: Borg, K. (2024). Leveraging generative AI to create 福利在线免费 Technology (IT) teaching material for local post-secondary institutions (Bachelor's dissertation).
Abstract: Over the past few years, there has been a boom within the technology industry, with artificial intelligence becoming a prominent sector, especially in education. Generative AI (artificial intelligence) is one of the many new AI trends that has seen an increase in usability in its implementation and use across many areas of business, especially in education. The purpose of this study is to shed new light on how post-secondary IT educators in Malta are using generative AI to compile their teaching material. It is evident that there is a lack of academic literature in this field as it is new. The purpose of this study is to gain insight into the generative AI being used and to give recommendations on how to make the best use of generative AI tools in teaching IT at post-secondary schools. A qualitative approach is employed to gain primary data in the local context. A sample of 10 participants, who are post-secondary IT educators, were involved in this study. The results were analysed and discussed to raise awareness of the proper use of such technology. The research concludes that there is room for improvement in both awareness and application of generative AI in the local education sector. This study, however, also reveals that this new area in education is moving in the right direction when it comes to ethical implications. It also points to the need for more research within this area of generative AI.
Description: B.Sc. (Hons) Bus.& IT(Melit.)
URI: https://www.um.edu.mt/library/oar/handle/123456789/127912
Appears in Collections:Dissertations - FacEma - 2024
Dissertations - FacEMAMAn - 2024

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