人工智能增强学生福利应用的评估:心灵导师的试点随机试验

Christian Ehrlich, Sarah E. Hennelly, Natalie Wilde, Oliver Lennon, Alan Beck, Hazel Messenger, Kat Sergiou, Emma L. Davies
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引用次数: 0

摘要

近年来,英国大学生披露心理健康状况的人数有所增加。本文描述了对Mind Tutor应用程序的评估,这是一款专门为一年级本科生设计的基于人工智能的健康应用程序,其中包括一个聊天机器人功能,可以引导学生了解相关的健康内容。这款应用的内容是根据学生报告的心理健康和幸福问题数据开发的,重点关注焦虑、情绪低落、学术学习、向大学过渡和人际关系。进行了两项随机对照评估研究,N = 177和N = 240来自两所英国大学的一年级本科生(第二所大学是由于开发工作的延迟和第一次试验的招聘困难)。心灵导师对学生的幸福感没有显著影响。这项研究的招聘率和留任率都很低。然而,有必要进行进一步的研究,以了解可能增加基于应用程序的工具的参与度和可接受性的因素,从而提高学生的幸福感。
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Evaluation of an Artificial Intelligence Enhanced Application for Student Wellbeing: Pilot Randomised Trial of the Mind Tutor
Abstract There has been an increase in the number of UK university students disclosing mental health conditions in recent years. This paper describes the evaluation of the Mind Tutor app, an artificial intelligence based wellbeing app specifically designed for first year undergraduate students, which included a chatbot function that guided students to relevant wellbeing content. The content of the app was developed based on data about mental health and wellbeing issues reported by students and focussed on anxiety, low mood, academic study, transition to university and relationships. Two randomised controlled evaluation studies were conducted with N = 177 and N = 240 first year undergraduate students from two UK universities (the second due to delays in development work and difficulties with recruitment in the first trial). The Mind Tutor had no significant impact on student wellbeing. The study suffered from poor recruitment and retention rates. However, further research is warranted to understand factors that may increase engagement and acceptability of app based tools to increase student wellbeing.
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