Related papers: Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities

Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities

URL: http://arxiv.org/abs/2402.07397v2
Date: Fri, 26 Apr 2024 23:31:04 GMT
Title: Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities
Authors: George Boateng,
Abstract summary: We describe our work developing and deploying AI in Education tools in Africa for science and computing education. SuaCode is an AI-powered app that enables Africans to learn to code using their smartphones. AutoGrad is an automated grading, and feedback tool for graphical and interactive coding assignments. Kwame for Science is a web-based AI teaching assistant that provides instant answers to students' science questions.
Score: 1.2691047660244332
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Across the African continent, students grapple with various educational challenges, including limited access to essential resources such as computers, internet connectivity, reliable electricity, and a shortage of qualified teachers. Despite these challenges, recent advances in AI such as BERT, and GPT-4 have demonstrated their potential for advancing education. Yet, these AI tools tend to be deployed and evaluated predominantly within the context of Western educational settings, with limited attention directed towards the unique needs and challenges faced by students in Africa. In this chapter, we discuss challenges with using AI to advance education across Africa. Then, we describe our work developing and deploying AI in Education tools in Africa for science and computing education: (1) SuaCode, an AI-powered app that enables Africans to learn to code using their smartphones, (2) AutoGrad, an automated grading, and feedback tool for graphical and interactive coding assignments, (3) a tool for code plagiarism detection that shows visual evidence of plagiarism, (4) Kwame, a bilingual AI teaching assistant for coding courses, (5) Kwame for Science, a web-based AI teaching assistant that provides instant answers to students' science questions and (6) Brilla AI, an AI contestant for the National Science and Maths Quiz competition. Finally, we discuss potential opportunities to leverage AI to advance education across Africa.

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