AI-Powered Learning: Increasing User Retention and Productivity Through Personalised Learning Paths

人工智能驱动的学习：通过个性化学习路径提高用户保留率和生产力

• 批准号: 10079009
• 金额: $ 6.37万
• 依托单位: MUSIC HACKSPACE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10079009
• 关键词: AI; Powered; Learning; Increasing; User

The recent innovations in Artificial Intelligence have sent disrupting waves across all industries, and across the Education sector in particular. Schools around the world have banned the use of ChatGPT, fearing its impact on learning, while edtech startups embraced the opportunity to lower barriers to education. The divide between offline and online learning grows stronger, and schools and higher education are forced to offer hybrid approaches to learning.Knowledge has become a commodity. To remain relevant and economically competitive, learning institutions need to adapt, and refocus their pedagogical approach not on the knowledge itself, but on its delivery mechanisms, such that students will thrive in their learning, be supported when encountering difficulties and be enticed to continuously learn.This project is led by Music Hackspace, an online learning platform for music technologies, and the Creative Computing Institute of University of the Arts London. It focuses on studying the feasibility of personalised learning journeys, using an existing repository of over 300 on-demand courses created by Music Hackspace between 2020 and 2023\. The project will analyse the transcripts of Music Hackspace courses to help students discover new content and decide what to study, with a conversational tool that offers bespoke advice based on student needs and contexts.Both teams have collaborated on a IUK grant in 2021, to build a Machine Learning powered engine to rank courses by complexity. This project is a continuation of the successful research started then, but which didn't use large language models. The teams have an existing codebase and prototype, a clear IP strategy, and are used to working together.This project leverages three key components: (1) the world-class Machine Learning and music technology expertise of Prof Rebecca Fiebrink's team, (2) the experience of teaching online and in-person of academics and professionals, (3) a thriving startup ideally positioned to integrate the results of this research to gain traction and market share.Statista estimates the global e-learning market to grow CAGR 9.84%(2023:£133B,2027:£191B), while the global music e-learning segment grows twice as fast (2023: £174M,2027:£341M/CAGR:18.40%, Research&Markets), highlighting an urgent need to bolster the UK position in this rapidly growing sector. Machine Learning is key to differentiating innovation in this space. Successful completion of this project is projected to increase MHS's revenue by 62% over its current forecast, underscoring the transformative potential of AI in education.

人工智能最近的创新给所有行业，尤其​​是教育行业带来了颠覆性的浪潮。世界各地的学校都禁止使用 ChatGPT，担心它会影响学习，而教育科技初创公司则抓住了降低教育障碍的机会。线下和在线学习之间的鸿沟越来越大，学校和高等教育被迫提供混合学习方法。知识已经成为一种商品。为了保持相关性和经济竞争力，学习机构需要适应并重新将教学方法的重点放在知识本身，而不是知识本身，而是其传递机制上，这样学生就能在学习中茁壮成长，在遇到困难时得到支持并被吸引继续学习。该项目由音乐技术在线学习平台 Music Hackspace 和伦敦艺术大学创意计算研究所牵头。它专注于研究个性化学习旅程的可行性，利用 Music Hackspace 在 2020 年至 2023 年间创建的 300 多个点播课程的现有存储库\。该项目将分析 Music Hackspace 课程的成绩单，帮助学生发现新内容并决定学习什么，并使用根据学生需求和背景提供定制建议的对话工具。两个团队已于 2021 年合作获得 IUK 资助，以构建机器学习驱动的引擎，根据复杂性对课程进行排名。该项目是当时开始的成功研究的延续，但没有使用大型语言模型。这些团队拥有现有的代码库和原型、明确的知识产权战略，并且习惯于一起工作。该项目利用了三个关键组成部分：(1) Rebecca Fiebrink 教授团队的世界一流的机器学习和音乐技术专业知识，(2) 学者和专业人士的在线和现场教学经验，(3) 一家蓬勃发展的初创公司，处于理想位置，可以整合这项研究的结果，以获得吸引力和市场份额。Statista 估计 全球电子学习市场复合年增长率为 9.84%（2023 年：133B 英镑，2027 年：191B 英镑），而全球音乐电子学习领域的增长速度是其两倍（2023 年：1.74 亿英镑，2027 年：3.41 亿英镑/复合年增长率：18.40%，研究与市场），这凸显了迫切需要巩固英国在这个快速增长领域的地位。机器学习是该领域创新差异化的关键。该项目的成功完成预计将使 MHS 的收入比当前预测增加 62%，凸显人工智能在教育领域的变革潜力。