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Found 11 papers, 2 papers with code
Brilla AI: AI Contestant for the National Science and Maths Quiz
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".
Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities
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.
Towards an AI to Win Ghana's National Science and Maths Quiz
Can an AI win Ghana's National Science and Maths Quiz (NSMQ)?
Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa
Africa has a high student-to-teacher ratio which limits students' access to teachers for learning support such as educational question answering.
Can an AI Win Ghana's National Science and Maths Quiz? An AI Grand Challenge for Education
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.
Multimodal Emotion Recognition among Couples from Lab Settings to Daily Life using Smartwatches
In this body of work contained in this thesis (8 papers - 5 published and 3 currently under review in various journals), we fill the current literature gap on couples' emotion recognition, develop emotion recognition systems using 161 hours of data from a total of 1, 051 individuals, and make contributions towards taking couples' emotion recognition from the lab which is the status quo, to daily life.
"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data
Couples generally manage chronic diseases together and the management takes an emotional toll on both patients and their romantic partners.
Kwame for Science: An AI Teaching Assistant Based on Sentence-BERT for Science Education in West Africa
Additionally, it displays the top 5 related past exam questions and their answers in addition to the 3 paragraphs.
"You made me feel this way": Investigating Partners' Influence in Predicting Emotions in Couples' Conflict Interactions using Speech Data
Insights from psychology research indicate that partners' behaviors influence each other's emotions in conflict interaction and hence, the behavior of both partners could be considered to better predict each partner's emotion.
BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions
Nevertheless, many basic questions about interactions are difficult to investigate because dyadic processes can be within a person and between partners, they are based on multimodal aspects of behavior and unfold rapidly.
Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses
Given the multilingual context of SuaCode students - learners across 42 African countries that are mostly Anglophone or Francophone - in this work, we developed a bilingual Artificial Intelligence (AI) Teaching Assistant (TA) - Kwame - that provides answers to students' coding questions from SuaCode courses in English and French.
