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AUTHOR(S): Giovanna Avellis
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ABSTRACT Our objective is to make STEM education more gender inclusive for women, to achieve their career aspirations through the application of Generative AI technologies. This is the result from our investigation on Software Engineering and AI [5], where we were studying the application of intelligent chatbots to design software and have applied it to address a more gender inclusive science, namely the Gender Inclusive Chatbot (GIChatbot). The more general scope of our investigation is how to design responsible Generative AI technology for gender equality, i.e., address how Generative AI technology supports inequalities [3]. One of the aims of this project is to tackle diversity and inclusion of girls in science through the digital living mentoring and learning hub. The project builds on bringing informal learning into the classroom, driving engagement through co-design thinking principles building on the practical informal maker-style activities to develop resilience in learners and mentoring guide to provide important guidance and the process of “instrumententalising”. Hence, to take ownership of materials and adapting and repurposing the artefacts into 'instruments’. These 'instruments’ of bring an act of learning to an owned artefact, enable capacity building [7]. The Research Methodology and Approach as well as the Originality and innovative aspects of the research programme will also be addressed, as well as a scenario of usage of the chatbot “mentor-me” as an illustrative example of application of the research concepts. |
KEYWORDS Chatbot, Gender Inclusive Science, Generative AI, IoT, STEM |
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Cite this paper Giovanna Avellis. (2025) Generative AI in STEM Education. International Journal of Internet of Things and Web Services, 10, 69-76 |
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