Abstract
There is a lack of enough qualified teachers across Africa which hampers efforts to provide adequate learning support such as educational question answering (EQA) to students. An AI system that can enable students to ask questions via text or voice and get instant answers will make high-quality education accessible. Despite advances in the field of AI, there exists no robust benchmark or challenge to enable building such an (EQA) AI within the African context. Ghana's National Science and Maths Quiz competition (NSMQ) is the perfect competition to evaluate the potential of such an AI due to its wide coverage of scientific fields, variety of question types, highly competitive nature, and live, real-world format. The NSMQ is a Jeopardy-style annual live quiz competition in which 3 teams of 2 students compete by answering questions across biology, chemistry, physics, and math in 5 rounds over 5 progressive stages until a winning team is crowned for that year. In this position paper, we propose the NSMQ AI Grand Challenge, an AI Grand Challenge for Education using Ghana's National Science and Maths Quiz competition (NSMQ) as a case study. Our proposed grand challenge is to "Build an AI to compete live in Ghana's National Science and Maths Quiz (NSMQ) competition and win - performing better than the best contestants in all rounds and stages of the competition." We describe the competition, and key technical challenges to address along with ideas from recent advances in machine learning that could be leveraged to solve this challenge. This position paper is a first step towards conquering such a challenge and importantly, making advances in AI for education in the African context towards democratizing high-quality education across Africa.
Abstract (translated)
在非洲大陆,缺乏足够的具备资格的教师,这妨碍了为 students 提供适当的学习支持,例如教育问答 (EQA) 的努力。一种能够让学生通过文本或语音提出问题并获得即时回答的 AI 系统将使得高质量的教育变得可行。尽管在 AI 领域取得了进展,但在非洲 context 内建立这样的 (EQA) AI 并没有可靠的基准或挑战。加纳的国家科学和数学竞赛 (NSMQ) 是评估这种 AI 潜力的完美比赛,因为它涵盖了广泛的科学领域、各种问题类型、高度竞争的性质,以及实时、实际的比赛形式。NSMQ 是一个年度的电视Quiz比赛,由三个团队和两个学生组成的三支队伍在五个阶段中的五个逐步阶段内竞争,直到一个获胜团队被宣布为止。在本文中,我们提出了 NSMQ AI Grand Challenge,这是一个用加纳的国家科学和数学竞赛 (NSMQ) 作为案例研究的 AI Grand Challenge。我们提出的 Grand 挑战是“建造一个能够在加纳的国家科学和数学竞赛 (NSMQ) 中实时竞争并获胜的 AI,比所有阶段和竞争中的最佳选手表现得更好。” 我们描述了比赛,以及需要解决的主要技术挑战,以及利用机器学习最近的进展以解决这个挑战的可能方法。本文是克服这种挑战的第一步,更重要的是,在非洲 context 内推动 AI 教育的进展,以促进非洲大陆上高质量的教育民主化。
URL
https://arxiv.org/abs/2301.13089
