June 29, 2022, 1:12 a.m. | George Boateng, Samuel John, Andrew Glago, Samuel Boateng, Victor Kumbol

cs.CL updates on arXiv.org arxiv.org

Africa has a high student-to-teacher ratio which limits students' access to
teachers. Consequently, students struggle to get answers to their questions. In
this work, we extended Kwame, our previous AI teaching assistant, adapted it
for science education, and deployed it as a web app. Kwame for Science answers
questions of students based on the Integrated Science subject of the West
African Senior Secondary Certificate Examination (WASSCE). Kwame for Science is
a Sentence-BERT-based question-answering web app that displays 3 paragraphs as …

africa ai arxiv assistant education science teaching

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