An AI-powered curriculum instructional hypergraph (knowledge graph) and intelligent hint system that triages student knowledge, curriculum materials and assessments to reduce attainment gaps

人工智能驱动的课程教学超图（知识图）和智能提示系统，可对学生知识、课程材料和评估进行分类，以缩小成绩差距

• 批准号: 10035378
• 金额: $ 44.59万
• 依托单位: STUDY HALL LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10035378
• 关键词: AI; powered; curriculum; instructional; hypergraph

The COVID-19 pandemic, closed down schools, thereby disrupting learning and increasing the need for personalised learning platforms that improve transparency, efficacy and accountability of public education systems. Student attainment gaps are deepening inequality, costing national economies tens of billions in future GDP growth. The UK alone estimates that improving attainment for a single cohort (2030 students) can add £60-90bn to GDP (DfE 2022). Adaptive learning and assessment can help optimise the large sums of public and private funds invested in high-dosage tutoring and school intervention programs.Study Hall (SH) is developing a cutting-edge AI-based adaptive learning and assessment platform that can accelerate student progress on both high-stakes (summative) and low-stakes (formative) assessments. SH's Knowledge Graph (KG) maps individual student knowledge against curriculum and standardised assessments to identify who has learned it, who has mastered it, and who has dropped off so teachers can intervene. The innovative, AI-based, Intelligent Hint System (IHS) provides scaffolded Socratic hints. SH's social features motivate learners to study together inside and outside of school. Study Hall boosts engagement, and increases teaching and learning efficiency, saving taxpayers, teachers, parents and students time and money.Study Hall has an experienced team including Paul Butcher (CTO), Professor Paul Schrater (behavioural neuroscience and deep learning scientist), Micheal Milchiadis (Lead Engineer), Gary Shiels (Data Scientist), Aisling Henihan (Instructional Design Lead), Nathan Llewellyn (Product Owner) and Sofia Fenichell (Chief Product Officer).

2019冠状病毒病疫情导致学校关闭，从而扰乱了学习，并增加了对个性化学习平台的需求，以提高公共教育系统的透明度、效率和问责制。学生成绩的差距正在加深不平等，使国家经济在未来的GDP增长中损失数百亿美元。仅英国就估计，提高一个群体（2030名学生）的成绩可以为GDP增加600亿至900亿英镑（DfE 2022）。自适应学习和评估可以帮助优化大量的公共和私人资金投入到高剂量的辅导和学校干预计划。研究大厅（SH）正在开发一个先进的基于人工智能的自适应学习和评估平台，可以加速学生在高风险（总结性）和低风险（形成性）评估中的进步。SH的知识图谱（KG）将学生的个人知识与课程和标准化评估进行映射，以确定谁已经学会了，谁已经掌握了，谁已经放弃了，以便教师可以进行干预。创新的、基于人工智能的智能提示系统（IHS）提供了脚手架式的苏格拉底提示。SH的社会性特点促使学习者在校内和校外一起学习。Study Hall提升参与度，提高教学效率，节省纳税人，教师，家长和学生的时间和金钱。Study Hall拥有经验丰富的团队，包括Paul Butcher（CTO），Paul Schrater教授（行为神经科学和深度学习科学家），Micheal Milchiadis（首席工程师）、加里希尔斯（数据科学家）、Aisling Henihan（教学设计主管）、Nathan Llewellyn（产品负责人）和索菲亚Fenichell（首席产品官）。