College Students’ Learning Dilemmas and Solving Paths in the Era of AI
DOI:
https://doi.org/10.54097/fsp06d20Keywords:
Artificial Intelligence (AI) in Education, Learning Dilemmas, Academic Integrity, Human-AI CollaborationAbstract
The rapid integration of artificial intelligence (AI) into higher education has introduced transformative opportunities—such as personalized learning, democratized access to resources, and career readiness—while simultaneously creating critical dilemmas. College students now grapple with over-reliance on AI tools, information overload, skills gaps, ethical ambiguities, and psychological anxiety about competing with AI-driven automation. These challenges stem from institutional inertia, lagging curricula, and a lack of AI literacy among educators and learners. To address these issues, this essay proposes multifaceted solutions: pedagogical reforms emphasizing active learning and AI literacy, curriculum modernization to blend technical proficiency with uniquely human skills, institutional policies for ethical AI governance, and mental health support to mitigate AI-induced anxiety. By advocating for strategic collaboration between humans and AI, the essay underscores the urgency of reimagining education to balance technological efficiency with intellectual rigor, creativity, and ethical integrity. The path forward lies in fostering adaptability, equitable access, and human-AI synergy to empower students as resilient, ethically grounded leaders in an AI-augmented future.
Downloads
References
[1] LI Yan, XU Jie, JIA Chengyuan, et al. Investigation of College Students’ Generative ArtificialIntelligence (GAI) Usage Status and its Implication: Taking Zhejiang University as an Example, Open Education Research. 2024, Vol. 30(No.1), P91-92.
[2] Nguyen Quoc Phu, Vo Duc Hong. Artificial Intelligence and Unemployment: An International Evidence, Structural Change and Economic Dynamics. 2022, Vol. 63, P40-55. DOI: https://doi.org/10.1016/j.strueco.2022.09.003
[3] Zawacki-Richter, Olaf, Marín, et al. Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International journal of educational technology in higher education. 2019, Vol. 16(No.1), 1-27. DOI: https://doi.org/10.1186/s41239-019-0171-0
[4] Selwyn, Neil. Should robots replace teachers?: AI and the future of education. John Wiley & Sons, 2019.
[5] Zhang, H., & Aslan, A. B. AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence. 2021, Vol. 2, 100025. DOI: https://doi.org/10.1016/j.caeai.2021.100025
[6] Biesta, G. Risking ourselves in education: Qualification, socialization, and subjectification revisited. Educational Theory. 2020, Vol. 70(No.1), 89-104. DOI: https://doi.org/10.1111/edth.12411
[7] Qiu, Xiaoyan, Diego FM Oliveira, Alireza Sahami Shirazi, et al. Limited individual attention and online virality of low-quality information. Nature Human Behaviour. 2020, Vol. 4(No.5), 466-475.
[8] Wineburg, S., & McGrew, S. Lateral reading and the nature of expertise: Reading less and learning more when evaluating digital information. Teachers College Record. 2019, Vol. 121(No.11), 1-40. DOI: https://doi.org/10.1177/016146811912101102
[9] Cotton, D. R., Cotton, P. A., & Shipway, J. R. Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international. 2024, Vol. 61(No.2), 228-239.
[10] Eaton, S. E. Academic integrity in the age of AI: Policies and pedagogies beyond plagiarism. International Journal for Educational Integrity. 2023, Vol. 19(No.1), 1-16.
[11] Brynjolfsson, E., & McAfee, A. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton, 2014.
[12] Holmes, W., Porayska-Pomsta, K., Holstein, K., et al. Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education. 2022, Vol. 32(No.3), 504-526. DOI: https://doi.org/10.1007/s40593-021-00239-1
[13] Nguyen, Andy, Ha Ngan Ngo, et al. Ethical principles for artificial intelligence in education. Education and Information Technologies. 2022, Vol. 28(No.4), 4221-4241. DOI: https://doi.org/10.1007/s10639-022-11316-w
[14] Miao, Fengchun, Wayne Holmes, et al. UNESCO. (2021). AI and education: A guidance for policymakers.
[15] Williamson, B. The social life of AI in education. Learning, Media and Technology. 2023, Vol. 48(No.2), 338-350. DOI: https://doi.org/10.1080/17439884.2023.2167830
[16] Luckin, R. Machine learning and human intelligence: The future of education for the 21st century. UCL Press, 2018.
[17] Di Battista, Attilio, Sam Grayling, et al. Future of jobs report 2023. World Economic Forum. 2023 Nov, (pp. 978-2).
[18] Ellingrud, Kweilin, Saurabh Sanghvi, et al. Generative AI and the future of work in America. 2023.
[19] Antoninis, Manos, Benjamin Alcott, et al. Global Education Monitoring Report 2023: Technology in education: A tool on whose terms?. 2023.
[20] Cotton, Debby RE, Peter A. Cotton, et al. Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international, Vol. 61(No.2), 228-239. DOI: https://doi.org/10.1080/14703297.2023.2190148
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Academic Journal of Management and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

