Artificial Intellegent In Higher Education: Opportunities and Challenges
DOI:
https://doi.org/10.63034/esr-334Keywords:
artificial intelligence, higher education, personalized learning, ethical issues, data privacyAbstract
Artificial Intelligence (AI) is transforming higher education by introducing innovative tools and methodologies that enhance teaching and learning processes. This paper explores the opportunities AI provides, such as personalized learning, intelligent tutoring systems, automated assessments, and data-driven decision-making. These technologies enable educators to focus on strategic and creative tasks while improving the efficiency and accessibility of education.However, the integration of AI into higher education also presents significant challenges. Ethical concerns, data privacy, and the digital divide are among the most pressing issues. Furthermore, the adaptation of faculty and students to AI-based technologies requires comprehensive training and a cultural shift in educational institutions. This study discusses how higher education institutions can balance these opportunities and challenges to effectively incorporate AI into their ecosystems.The research highlights the importance of collaboration between technology developers, educators, and policymakers to ensure AI’s ethical and equitable implementation in higher education. It provides recommendations for leveraging AI to foster innovation, improve educational outcomes, and address potential risks.
References
Sadia, Sultana. (2024). 2. AI in Higher Education. Advances in educational marketing, administration, and leadership book series, doi: 10.4018/979-8-3693-3534-5.ch006
Pengfei, Cui., Bity, Salwana, Alias. (2024). 4. Opportunities and challenges in higher education arising from AI: A systematic literature review (2020–2024). Journal of infrastructure, policy and development, doi: 10.24294/jipd.v8i11.8390
Henry, Onderi. (2024). 5. Artificial Intelligence. Advances in educational technologies and instructional design book series, doi: 10.4018/979-8-3373-0025-2.ch003
BENOUACHANE. (2024). AI in Higher Education: Balancing Pedagogical Benefits and Ethical Challenges. https://www.researchgate.net/profile/Benouachane-Hassan/publication/382455404_AI_in_Higher_Education_Balancing_Pedagogical_Benefits_and_Ethical_Challenges/links/669ea540cb7fbf12a4692097/AI-in-Higher-Education-Balancing-Pedagogical-Benefits-and-Ethical-Challenges.pdf
Huaiqing. (2006). Intelligent agent supported personalization for virtual learning environments. https://www.sciencedirect.com/science/article/pii/S0167923605000989
Jonathan. (2021). A comprehensive analysis of personalized learning components. https://link.springer.com/article/10.1007/s40692-021-00188-7
Khan. (2020). Artificial Intelligence Virtual Assistants (Chatbots) are Innovative Investigators. https://www.researchgate.net/profile/Shakir-Khan-6/publication/374557704_Artificial_Intelligence_Virtual_Assistants_Chatbots_are_Innovative_Investigators/links/652512f9d717ef1293dea026/Artificial-Intelligence-Virtual-Assistants-Chatbots-are-Innovative-Investigators.pdf
Ontario. (2023). Managing the strategic transformation of higher education through artificial intelligence. https://www.mdpi.com/2076-3387/13/9/196
Scott, Leslie, Sambhav, & Terri. (2023). Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. https://link.springer.com/article/10.1007/s10796-022-10291-4
Tatineni. (2020). Recommendation Systems for Personalized Learning: A Data-Driven Approach in Education. https://www.researchgate.net/profile/Sumanth-Tatineni/publication/379052592_Recommendation_Systems_for_Personalized_Learning_A_Data-Driven_Approach_in_Education/links/65f91bf21f0aec67e2a67ee9/Recommendation-Systems-for-Personalized-Learning-A-Data-Driven-Approach-in-Education.pdf
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Copyright (c) 2025 Nur Rafi Abdurohman
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