Enterprise AI Analysis
Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review
The increasing use of artificial intelligence (AI) in higher education is reshaping how students engage with their academic and personal lives. While AI offers benefits such as personalized learning and mental health support, it also raises concerns like digital fatigue, loneliness, technostress, and reduced face-to-face interactions. This mini-review synthesizes current literature to assess AI's impact on student well-being, advocating for balanced AI integration that promotes holistic well-being alongside academic success.
Executive Impact: AI in Higher Ed Well-being
The integration of AI in higher education presents both significant opportunities and challenges for student well-being. Leaders must navigate the benefits of personalized learning and efficiency against risks of social isolation, technostress, and privacy concerns. Strategic implementation can enhance academic performance and mental health, but requires careful management to ensure a holistic positive impact.
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Potential for Increased Happiness
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Reduction in Academic Stress
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Efficiency Gain in Learning
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The mini-review followed PRISMA guidelines, searching Web of Science and Scopus for empirical studies. After strict inclusion/exclusion criteria, 11 relevant studies were identified, and their findings were analyzed thematically to synthesize AI's impact on student well-being.
Enterprise Process Flow
PRISMA Guidelines & Database Search (Web of Science, Scopus)
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Inclusion/Exclusion Criteria Application
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Identification of 11 Eligible Empirical Studies
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Thematic Analysis for Patterns & Themes
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Synthesis of Benefits & Drawbacks
AI offers significant benefits by tailoring educational experiences, reducing stress, and making mental health support more accessible through tools like chatbots. It also improves communication efficiency and fosters inclusivity for diverse learning needs.
Enhanced Learning & Well-being
through personalized experiences and accessible support systems.
Despite benefits, AI integration poses challenges such as diminishing face-to-face interactions, increasing loneliness and technostress, and raising concerns about data privacy and potential job displacement.
| Area of Impact | Positive Aspect (AI Integration) | Negative Aspect (AI Integration) |
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| Social Interaction |
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| Mental Health |
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| Communication Skills |
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Educational institutions must adopt a balanced approach, combining AI efficiency with human-centered pedagogy. This involves promoting critical thinking, ensuring data privacy, and upskilling staff to collaborate effectively with AI, not be replaced by it.
Holistic AI Integration in Higher Education
To harness AI's potential while mitigating risks, institutions should prioritize human-centered design. This means leveraging AI for personalized learning and efficiency, but actively fostering face-to-face interactions and emotional intelligence. Implementing robust data privacy protocols and investing in staff upskilling are crucial. The goal is to prepare students and faculty for an AI-augmented future without compromising human connection or well-being.
Quantify Your AI Impact Potential
Estimate the potential time savings and cost efficiencies for your organization by strategically integrating AI, based on current industry benchmarks.
Estimated Annual Cost Savings
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Your AI Well-being Roadmap
A phased approach to integrating AI that prioritizes student well-being, ensures ethical use, and maximizes academic benefits.
Implement Balanced AI Strategy
Combine AI efficiency with human-centred pedagogical methods to foster interpersonal skills and emotional intelligence, avoiding over-reliance.
Develop AI Literacy & Critical Thinking Curricula
Integrate AI literacy to help students evaluate AI-generated content, recognize limitations, and critically assess information from varied sources.
Strengthen Data Privacy Policies
Implement robust policies addressing data privacy and ethical AI use to mitigate anxiety and build trust in AI technologies.
Upskill Staff for AI Collaboration
Provide training programs for educators and support staff to work alongside AI, addressing job displacement concerns and enhancing professional development.
Conduct Longitudinal Research on Well-being
Initiate rigorous experimental and clinical studies to understand the long-term effects of AI on mental health, social interactions, and academic performance.
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