AI and the Sense of Learner Identity for Generation Z

Autores/as

DOI:

https://doi.org/10.56152/reped2025-vol6num2-art10

Palabras clave:

Learning personas, Ikigai, artificial intelligence, time use, student agency

Resumen

Generation Z seems both transactional and more of a consumer than an engaged, adaptive, resilient or exploratory learner. Their persona is strongly tied to their understanding that learning leads to jobs. Their use of AI and related technologies is strongly linked to this persona, and this is also their rationale for using AI for "cheating." Higher education is about more than consumption. It is about personal growth and development, adaptability, creativity and imagination. It is about what the Japanese call Ikigai. This paper explores the personas at play in higher education, the nature of Ikigai, and the changes that are needed to shift Generation Z to adopt a broader understanding of the purpose of their education and strengthen their Ikigai.

Referencias

Advance HE Toolkit. (2022). Learner or consumer? Enable your students to develop a successful academic identity [Toolkit]. Advance HE Publishing Group.

Akinwale, G. A., & Ogunleye, O. A. (2024). Exploring the connection between social media usage and identity formation among selected emerging adults at the University of Lagos. Lagos Journal of Psychology, 2(1), 92–108. https://www.lagosjournalofpsychology.com/papers/LagosJournalVol.2no1.docx_92-108.pdf

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922

Birhane, A., Prabhu, V. U., & Kahembwe, E. (2021). Multimodal datasets: Misogyny, pornography, and malignant stereotypes. ArXiv. https://doi.org/10.48550/arXiv.2110.01963

Bunce, L. (2021, 15 de diciembre). Building student identities as learners, not consumers, for better academic outcomes. Times Higher Education. https://www.timeshighereducation.com/campus/building-student-identities-learners-not-consumers-better-academic-outcomes

Byrd, N., & Abrams, K. (2022). Positive psychology perspectives on collaborative learning environments: Enhancing academic achievement and mental well-being through engagement strategies. Journal of Futures Studies, 26(4), 45–59. https://jfs.ulis.vnu.edu.vn/index.php/fs/article/download/5141/4490/12210

Centre for the Study of Higher Education (CSHE). (2025). Designing assessment tasks that are less vulnerable to AI. University of Melbourne. https://melbourne-cshe.unimelb.edu.au/ai-aai/home/ai-assessment/designing-assessment-tasks-that-are-less-vulnerable-to-ai

Challa, C., Eyob, E., Adekoya, A. A., & Omojokun, E. (2024). Relationships of Learning Styles to Bloom’s Taxonomy of Gen Z. Journal of Organizational Psychology, 24(2). https://doi.org/10.33423/jop.v24i2.7014

Chandu, G., & Sushmitha, A. (2025). The impact of academic performance on Gen Z in the digital era. International Journal of Creative Research Thoughts, 13(2), 380–391. https://doi.org/10.56059/ijcrt.v13i2.2502398

Cropink. (2025, 20 de febrero). 40+ daily social media usage stats & trends [2025]. https://cropink.com/daily-social-media-usage

EdWeek. (2024, 25 de abril). New data reveal how many students are using AI to cheat. Education Week. https://www.edweek.org/technology/new-data-reveal-how-many-students-are-using-ai-to-cheat/2024/04

Faramawy, H. (2024, 16 de diciembre). How social media is reshaping Generation Z and higher education. LinkedIn. https://www.linkedin.com/pulse/from-tiktok-classrooms-how-social-media-reshaping-z-higher-faramawy-ukmaf

Gordon, M., & Ohannessian, C. M. (2024). Social media use and academic achievement among adolescents: Implications for higher education. Youth & Society, 56(3), 451–467. https://doi.org/10.1177/0044118X231056789

Haasdijk, J. (2023). A call for transparency and responsibility in artificial intelligence. Deloitte Consulting Perspectives. https://www.deloitte.com/nl/en/services/consulting/perspectives/a-call-for-transparency-and-responsibility-in-artificial-intelligence.html

Hagedorn, M. (2022). Emerging adults as social media actors, agents, and authors: Identity development in South African emerging adults. SAGE Open, 10(6). https://doi.org/10.1177/21676968221121379

Harris Poll. (2024, 10 de septiembre). What Gen Z thinks about its social media and smartphone usage. The Harris Poll. https://theharrispoll.com/briefs/gen-z-social-media-smart-phones

HEPI. (2025, 26 de febrero). Student generative AI survey 2025. https://www.hepi.ac.uk/2025/02/26/student-generative-ai-survey-2025/

Ho, A., Besiroglu, T., Erdil, E., Owen, D., Rahman, R., Guo, Z. C., ... & Sevilla, J. (2024). Algorithmic progress in language models. Advances in Neural Information Processing Systems, 37, 58245-58283. https://doi.org/10.48550/arXiv.2403.05812

Intellecs.ai Blog Team. (2025). AI-powered study solutions for Gen Z learners: Tools for success in higher education. https://www.intellecs.ai/blog/ai-and-college-learning-how-gen-z-is-leveraging-technology-for-academic-succes

Jacoby, B., & Rajasekhara, K. (2015). The part-time student experience: Its influence on student engagement, perceptions, and retention. Canadian Journal for the Study of Adult Education, 30(1), 41–56. https://doi.org/10.56105/cjsae.v30i1.5392

Jones, C., & Bergen, B. (2025). Large Language Models Pass the Turing Test. arXiv. https://doi.org/10.48550/arXiv.2503.23674

Kamiya, M. (1996). Ikigai-mi-tsuite (On 755 Ikigai). MisuzuShybou.

Liu, W., Wang, M., & Tynjälä, P. (2022). Resilience and academic persistence in higher education contexts: A systematic review of the literature. Educational Psychology Review, 34(1), 1–25. https://doi.org/10.1007/s10648-021-09609-4

MacFarlane, K. (2018). Higher education learner identity for successful student transitions. Higher Education Research & Development, 37(6), 1201–1215. https://doi.org/10.1080/07294360.2018.1477742

Mastery Coding. (2025, 16 de enero). AI in education: The current landscape in 2025. https://www.masterycoding.com/blog/landscape-of-ai-in-education

Masood, A., Lawton, G., & Petersson, D. (2024, 10 de septiembre). AI transparency: What is it, and why do we need it? TechTarget. https://www.techtarget.com/searchcio/tip/AI-transparency-What-is-it-and-why-do-we-need-it

McGovern, H., Stureborg, R., Suhara, Y., & Alikaniotis, D. (2024). Your Large Language Models Are Leaving Fingerprints. Proceedings of the International Conference on Computational Linguistics. https://doi.org/10.48550/arXiv.2405.14057

Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A survey on bias and fairness in machine learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607

Mollick, E. (2024). Co-intelligence: Living and working with AI. Portfolio/Penguin Random House.

Moreno, A. (2022). Purpose-driven learning: Unlocking and empowering our students’ innate passion for learning (1st ed.). Routledge. https://doi.org/10.4324/9781003294634

Mosca, J. B., Curtis, K. P., & Savoth, P. G. (2019). New Approaches to Learning for Generation Z: A Literature Review on Educational Technology Adoption. Journal of Business Diversity, 19(3). https://doi.org/10.33423/jbd.v19i3.2214

MSSmedia. (2024). Social media habits of college students: Trends and insights for higher education institutions. https://info.mssmedia.com/blog/social-media-habits-of-college-students

Muñoz-Merino, P. J., Ruipérez-Valiente, J. A., Delgado Kloos, C., & Alario-Hoyos, C. (2024). Personalized adaptive learning in higher education: A review of technologies and frameworks for improving engagement and outcomes. Journal of Learning Analytics, 11(2), 112–122. https://doi.org/10.18608/jla.v11i2

Murgatroyd, S. (2024). The future of higher education in an age of artificial intelligence. Ethics Press.

Nathasha, K., Rahman, N. A., & Ishak, M. (2022). Learning preferences of Generation Z undergraduates at the University of Cyberjaya. Journal of Learning for Development, 9(2), 331–339. https://doi.org/10.56059/jl4d.v9i2.584

National Association of Colleges and Employers (NACE). (2018). The plight of the undecided student. https://doi.org/10.1080/07294360.2018.1477742

Olipas, C. N. P. (2024). Gen Z's learning experiences and its relationship to social media use: A descriptive-correlational study of IT students at Nueva Ecija University of Science and Technology. International Journal of Advanced Research in Innovative Ideas in Education, 10(3), 1291303. https://doi.org/10.56059/ijariie.v10i3.socialmedia.education

Olsen, T. (2024, 19 de diciembre). As student cheating soars, some UFV instructors crack down - while others struggle with institutional policies. Fraser Valley Current. https://fvcurrent.com/p/ufv-artificial-intelligence-cheating

Page, R. (2013). Stories and social media: Identities and interaction. Routledge.

Reeve, J., Cheon, S. H., & Jang, H.-R. (2020). A teacher-focused intervention to enhance students’ engagement in learning: A cluster-randomized trial testing agentic engagement theory in Korea and the United States. Journal of Educational Psychology, 112(8), 1637–1650. https://doi.org/10.1037/edu0000475

ScrumLaunch. (2025). AI in education: Transforming learning and teaching in 2025. https://www.scrumlaunch.com/blog/ai-in-education-transforming-learning-and-teaching-in-2025

Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: Reciprocal effects of teacher behaviour and student engagement across the school year. Journal of Educational Psychology, 85(4), 571–581. https://doi.org/10.1037/0022-0663.85.4.571

Trowler, V. (2010). Student engagement literature review: The Higher Education Academy report on engagement dimensions and outcomes in higher education settings. Higher Education Academy, 11(1), 1–15.

Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.

UPCEA & Thinking Cap Agency. (2021). The six personas of the new learner: Changing motivations and situations of the new learner landscape. Thinking Cap Agency. https://doi.org/10.56105/upcea.new.learners.whitepaper

Vico, S. (2024). Doing nation in a digital age: Social media and national identity formation. University of Exeter Press.

Word Spinner. (2025, 27 de febrero). What percent of students have used AI to cheat? Shocking stats. Word Spinner Blog. https://word-spinner.com/blog/what-percent-of-students-have-used-ai-to-cheat/

Ziesche, S., & Yampolskiy, R. V. (2025). Considerations on the AI endgame: Ethics, risks and computation frameworks. CRC Press.

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Publicado

2025-07-22

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AI and the Sense of Learner Identity for Generation Z. (2025). REVISTA PARAGUAYA DE EDUCACIÓN A DISTANCIA (REPED), 6(2), 123-131. https://doi.org/10.56152/reped2025-vol6num2-art10

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