The African continent lacks enough qualified teachers which hampers the
provision of adequate learning support. An AI could potentially augment the
efforts of the limited number of teachers, leading to better learning outcomes.
Towards that end, this work describes and evaluates the first key output for
the NSMQ AI Grand Challenge, which proposes a robust, real-world benchmark for
such an AI: "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". The NSMQ is an annual live
science and mathematics competition for senior secondary school students in
Ghana 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 work, we built Brilla
AI, an AI contestant that we deployed to unofficially compete remotely and live
in the Riddles round of the 2023 NSMQ Grand Finale, the first of its kind in
the 30-year history of the competition. Brilla AI is currently available as a
web app that livestreams the Riddles round of the contest, and runs 4 machine
learning systems: (1) speech to text (2) question extraction (3) question
answering and (4) text to speech that work together in real-time to quickly and
accurately provide an answer, and then say it with a Ghanaian accent. In its
debut, our AI answered one of the 4 riddles ahead of the 3 human contesting
teams, unofficially placing second (tied). Improvements and extensions of this
AI could potentially be deployed to offer science tutoring to students and
eventually enable millions across Africa to have one-on-one learning
interactions, democratizing science education.

构建并评估 AI 参赛者 Brilla AI，通过在 2023 年 NSMQ 决赛的谜语环节进行远程实时比赛，展示 AI 在教育中的潜力，为数百万非洲学生提供科学教育的机会。

Brilla AI：全国科学与数学问答竞赛的人工智能参赛选手

Brilla AI: AI Contestant for the National Science and Maths Quiz

This study evaluates the efficacy of ChatGPT as an AI teaching and learning
support tool in an integrated circuit systems course at a higher education
institution in an Asian country. Various question types were completed, and
ChatGPT responses were assessed to gain valuable insights for further
investigation. The objective is to assess ChatGPT's ability to provide
insights, personalized support, and interactive learning experiences in
engineering education. The study includes the evaluation and reflection of
different stakeholders: students, lecturers, and engineers. The findings of
this study shed light on the benefits and limitations of ChatGPT as an AI tool,
paving the way for innovative learning approaches in technical disciplines.
Furthermore, the study contributes to our understanding of how digital
transformation is likely to unfold in the education sector.

该研究评估了 ChatGPT 作为人工智能教学和学习支持工具在一所亚洲国家的集成电路系统课程中的有效性，通过完成不同类型的问题和评估 ChatGPT 的回应来获得有价值的见解，以进一步调查。该研究的目标是评估 ChatGPT 在工程教育中提供见解、个性化支持和互动学习体验的能力。该研究包括对不同利益相关者（学生、讲师和工程师）的评估和反思。研究结果揭示了 ChatGPT 作为人工智能工具的益处和局限性，为技术学科中创新的学习方法铺平了道路。此外，该研究有助于我们对教育部门数字化转型的理解。