增强高等教育中的心理健康--19 病毒大流行后。基于人工智能的支持系统的作用--文献计量学评论

Nguyen Thuy Van, Mohd Amran Mohd Daril, Masroor Ali, Muhammad Saleem Korejo
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引用次数: 0

摘要

心理健康是学生在高等教育中取得成功的基石。然而,在 Covid-19 大流行期间甚至之后,许多学生都在与压力、焦虑和抑郁等心理健康挑战作斗争。这些挑战往往源于学业、个人、社会或职业方面的担忧,对学生的学习和发展产生了负面影响。这凸显了在高等教育(HE)中建立强大支持系统的必要性。人工智能(AI)作为教育技术领域的一个前景广阔的领域,可为学生在通往幸福的道路上提供随时可用的指导。本研究以《PRISMA 声明 2015》为指导,通过系统性综述概述了人工智能在高等教育中的应用。从 2021 年到 2023 年间最初确定的 270 篇出版物中,最终有 24 篇文章符合我们的纳入标准,并进行了最终的综合分析。本文揭示了基于人工智能的系统可以支持学生福祉的三个关键领域:i) 人工智能的进步与潜力:探索人工智能在这方面不断发展的能力和前景:iii) 在高等教育中实施人工智能的障碍:解决学术环境中特有的伦理问题和挑战。这项研究的结论和未来之路是,亟需基于伦理、精心设计的人工智能系统来克服现有障碍,提供卓越的学生福祉支持服务。通过优先考虑学生的心理健康并为他们提供必要的工具和资源,我们可以让他们充分发挥潜力,在学业上茁壮成长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Psychological Well-being in Higher Education Post-Covid-19 Pandemic. The Role of AI-Based Support Systems—Bibliometric Reviews
Psychological well-being is a cornerstone of student success in higher education. However, many students struggle with mental health challenges like stress, anxiety, and depression during and even after the Covid-19 pandemic. These challenges, often stemming from academic, personal, social, or career concerns, negatively impact student learning and development. This underscores the need for robust support systems within higher education (HE). Artificial intelligence (AI) emerges as a promising field in educational technology, offering students readily available guidance on their path to well-being. This research, guided by the PRISMA Statement 2015, provides an overview of AI applications in higher education through a systematic review. From an initial pool of 270 publications identified between year 2021 and 2023, finally, 24 articles met our inclusion criteria and were analyzed for the final synthesis. This paper revealed three key areas where AI-based systems can support student well-being: i) AI’s Advancement and Potential: Exploring the evolving capabilities and promise of AI in this context. ii) Building Effective AI Systems: Identifying crucial components for successful AI-based well-being interventions. iii) Barriers to Implementing AI in Higher Education: Addressing ethical considerations and challenges unique to academic settings. The conclusions and the road ahead from this research is the critical need for ethical, well-designed AI-based systems to overcome existing barriers and deliver exceptional student well-being support services. By prioritizing student mental health and providing them with the necessary tools and resources, we can empower them to achieve their full potential and thrive in their academic endeavors.
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