Using hybrid-AI software to scale delivery and heighten effectiveness of Meee’s FUEL student self-help mental health training programmes
Using hybrid-AI software to scale delivery and heighten effectiveness of Meee’s FUEL student self-help mental health training programmes
批准号:
10043562
负责人:
金额:
$6.05万
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
Meee的FAST Start项目提案将提供行业领先的技术解决方案,以帮助克服那些参加继续教育和高等教育机构的人越来越多地遇到的心理健康挑战。超过20%的大学生有心理健康诊断,学生团体中的一些群体面临更大的风险。非二元制学生出现心理健康问题的可能性是二元制学生的四倍,在2019- 2020年进入英国大学的第一个学位的学生中,有5.3%在一年后不再接受高等教育。一些大学的辍学率高达32.3%。这是学生由于缺乏适当支持而无法科普的症状。我们的愿景是将尖端的人工智能驱动的软件纳入我们现有的和经过验证的学生FUEL培训计划,以改善其交付,可扩展性和有效性,从而提高更多学生的心理自我管理,心理弹性,和长期的积极行为。我们这个项目的主要目标是提供一个软件产品“Meee学生燃料模块”,(a)快速分析大量的学生反馈,(B)使用创新和道德的人工智能来提供比人类更有价值的反馈分析,并且(c)为了支持我们的FUEL计划的原则,结构和交付而进行调整。另一个目标是将智能对话机器人作为一种新的,引人入胜的,和低摩擦调查方法,供学生在任何阶段使用,24/7,他们的旅程通过大学。这将提高学生反馈数据的数量和质量,这些数据将由新的人工智能软件模块进行分析。这笔资金将加速开发和交付AI驱动的解决方案,以满足他们的迫切需求。由于我们的FUEL计划旨在(a)帮助学生提高自我保健能力,(B)向大学的各种支持人员传授知识,我们将积极解决现有心理健康支持的不足。整体提高学生保留率1%将平均每年为大学节省139万英镑。提高学生的参与度和成功将在当地,地区和国家产生长期的社会经济效益。
英文摘要
Meee's FAST Start project proposal will deliver an industry-leading technical solution to help overcome the mental-wellbeing challenges increasingly experienced by those attending further and higher education institutions.Over 20% of university students have a mental health diagnosis with some groups within student bodies being at greater risk. Non-binary students are four times as likely to experience mental health problems than binary students.5.3% of students taking their first degree who entered UK universities in 2019-20 were no longer in higher education a year later. Some universities had drop-out rates as high as 32.3%. This is a symptom of students being unable to cope due to a lack of suitable support. It also has a considerable negative financial and reputational impact on universities.Our vision is to incorporate cutting-edge AI-driven software into our existing and proven student FUEL training programmes to improve their delivery, scalability, and effectiveness, thereby increasing levels of success in more students' mental self-management, mental resilience, and long-term positive behaviours.Our key objectives for this project are to deliver a software product 'Meee Student FUEL module' that (a) analyses huge quantities of student feedback rapidly, (b) uses innovative and ethical AI to provide more forensic, and therefore valuable, analysis of the feedback than humans can do and (c) is aligned to do this in support of our FUEL programme's principles, structure, and delivery.An additional objective is to incorporate a smart conversation bot as a new, engaging, and low-friction survey method for students to use at any stage, 24/7, of their journey through university. This will increase the quantity and quality of the feedback data from students that will be analysed by the new AI software moduleUniversities are actively looking to leverage data better through digital transformation. This funding will accelerate development and delivery of an AI-driven solution that will meet their urgent requirements. As our FUEL programme is designed to (a) enable students to improve their own self-care and (b) be taught to a wide variety of support staff in universities, we will be actively addressing the shortfall in existing mental health support.Improving student retention by 1% overall will save a university on average £1.39m per year. Improving student engagement and success will have a long-term socio-economic benefit locally, regionally, and nationally.
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