Artificial Intelligence impact on higher education
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2025-04-04
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Universidad de Deusto
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Artificial Intelligence (AI) is increasingly prevalent, making its implementation in higher education a topic of great interest. This thesis investigates the impact of AI on higher education through the critical analysis of four Scopus articles (3 articles in Q3 and 1 article in Q2). The research methods employed in each report include systematic review, unstructured interviews, surveys, and discourse analysis.
First Article - Systematic Review The first article conducts a systematic study using Web of Science, Scopus, and ERIC databases, focusing on publications from 1900 to 2021. It employs Rayyan Software for education quality, learning and teaching, evaluations, future careers, ethics analysis, and VOSviewer to examine co-authorship and keyword occurrence. The main findings reveal that while AI enhances learning, teaching, and evaluations, critical gaps exist in AI effect evaluations, ethics, and future employment studies warrant further investigation.
Second Article - Unstructured Interviews The second article utilises unstructured interviews with AI experts in higher education to explore AI's impact on administration, learning, instruction, and ethics. The findings emphasise AI's cost reduction, efficiency improvement, and personalised learning capabilities. AI is also found to play a significant role in maintaining academic integrity by providing precise and objective assessments. However, critical scrutiny of ethical considerations is necessary to mitigate potential drawbacks and ensure responsible AI deployment.
Third Article - Surveys The third article utilises surveys of AI-savvy professors and researchers to examine the drivers, challenges, and solutions of AI in higher education. The implications show that AI enhances productivity, program efficiency, and internationalisation, fostering educational equity and diversity. AI also assists in addressing student concerns and improving learning and performance. However, critical ethical considerations, policies, and privacy concerns must be thoroughly discussed to ensure the responsible deployment of AI.
Fourth Article - Discourse Analysis The fourth article utilises discourse analysis of significant AI ethics policies to address biased algorithms and the displacement of humans in higher education. The research emphasises the importance of stakeholder collaboration, the ethical deployment of AI, transparency, and traceability. The main findings highlight the critical need for fair AI usage and the protection of vulnerable groups from biased AI decisions.
Overall, this thesis sheds critical light on AI's transformative potential in higher education. It emphasises the importance of critical analysis, responsible AI implementation, stakeholder collaboration, and ethical considerations to maximise AI's benefits while critically evaluating potential risks. By embracing AI ethically and critically, higher education can offer equitable, personalised, and innovative learning experiences for students and educators, preparing them for the critical challenges of the future.
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Materias
Matemáticas
Ciencia de los ordenadores
Inteligencia artificial
Pedagogía
Teoría y métodos educativos
Teorías educativas
Ciencia de los ordenadores
Inteligencia artificial
Pedagogía
Teoría y métodos educativos
Teorías educativas