¿Lo hice yo o lo hizo la inteligencia artificial? Impacto de la inteligencia artificial en la propiedad psicológica y el síndrome del impostor del alumnado en la educación superior

Santiago Batista-Toledo; Diana Gavilan

doi:10.51302/tce.2026.24625

Authors

Santiago Batista-Toledo Graduate teaching assistant in the Martketing Department of the Universidad Complutense de Madrid (Spain) https://orcid.org/0000-0003-4467-4464
Diana Gavilan Associate professor in the Marketing Department of the Universidad Complutense de Madrid (Spain) https://orcid.org/0000-0002-5293-779X

DOI:

https://doi.org/10.51302/tce.2026.24625

Keywords:

higher education, impostor syndrome, psychological ownership, student experience, sleeper effect, artificial intelligence (AI), task delegation

Abstract

The use of artificial intelligence (AI) tools in higher education has transformed how students (men and women) approach academic tasks. Their ability to solve problems within seconds makes them highly attractive, though they may pose risks to student learning if not used appropriately. This study examines how the type of task –delegable or supported– affects students' learning experience when using AI. Through two experimental studies conducted with undergraduate Social Sciences students, the research explores perceived learning, perceived effort, student agency (makes decisions or delegates them), psychological ownership of the task, and impostor syndrome. The findings show that task design significantly impacts students' learning experience, particularly in how they perceive authorship and feelings of impostorism. Moreover, a temporal effect is observed, where students' self-perceptions about the task evolve over time. The study concludes that effective integration of AI requires both careful instructional design by educators and appropriate student training and practices in using such tools.

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Author Biographies

Santiago Batista-Toledo, Graduate teaching assistant in the Martketing Department of the Universidad Complutense de Madrid (Spain)

Doctorando en Administración y Dirección de Empresas por la Universidad Complutense de Madrid. Investigador en comportamiento del consumidor y marketing educativo. Miembro del grupo de investigación Ecosistemas de Consumo Inteligentes (ECOIN). Autor de cuatro artículos publicados en revistas de impacto, de ocho aportaciones a congresos nacionales e internacionales y de dos capítulos de libro. Ha sido beneficiario de un contrato predoctoral de personal investigador en formación (FPI-UCM) y del VI Premio ASEPELT Jóvenes Investigadores: Premio Bernardo Pena, otorgado por la Asociación Internacional de Economía Aplicada.

Diana Gavilan, Associate professor in the Marketing Department of the Universidad Complutense de Madrid (Spain)

Acreditada a catedrática. Investigadora en comportamiento del consumidor, marketing sensorial y experiencial. Doctora en Ciencias Económicas y Empresariales (Premio Real Academia de Doctores). Directora del grupo de investigación Ecosistemas de Consumo Inteligentes (ECOIN). Ha liderado 11 proyectos competitivos y dirigido ocho tesis doctorales. Autora de más de 70 publicaciones en revistas de impacto con más de 3.000 citas en Google Scholar. Coautora del modelo work experiential engagement (WEE), empleado en empresas como Guggenheim o Telepizza. Premio OTRI UCM 2016. Ha colaborado en proyectos de transferencia de conocimiento con empresas como Coca-Cola, IKEA, Ogilvy, Indigitall y Llorente & Cuenca, entre otras.

References

Aisyah, Dwi Yulianti, P., Yandhini, S., Putri Sari, A. D., Herawani, I. y Oktarini, I. (2024). The influence of AI on students´ mind patterns. BICC Proceedings, 2(1), 184-186. https://doi.org/10.30983/bicc.v1i1.125

Alharbi, W. (2024). Mind the gap, please! Addressing the mismatch between teacher awareness and student AI adoption in language education within higher education. International Journal of Computer-Assisted Language Learning and Teaching, 14(1), 1-16. https://doi.org/10.4018/IJCALLT.351245

Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133-148. https://doi.org/10.1080/01587919.2018.1553562

Balalle, H. y Pannilage, S. (2025). Reassessing academic integrity in the age of AI: a systematicliterature review. Social Sciences y Humanities Open, 11, 1-12. https://doi.org/10.1016/j.ssaho.2025.101299

Clark, A. y Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7-19. http://www.jstor.org/stable/3328150

Cooper-Martin, E. (1994). Measures of cognitive effort. Marketing Letters, 5(1), 43-56. https://www.jstor.org/stable/40216323

Cozzarelli, C. y Major, B. (1990). Exploring the validity of the impostor phenomenon. Journal of Social and Clinical Psychology, 9(4), 401-417. https://doi.org/10.1521/jscp.1990.9.4.401

Cubillos, C., Mellado, R., Cabrera-Paniagua, D. y Urra, E. (2025). Generative artificial intelligence in computer programming: Does it enhance learning, motivation, and the learning environment? IEEE Access, 13. https://doi.org/10.1109/ACCESS.2025.3532883

Draxler, F., Werner, A., Lehmann, F., Hoppe, M., Schmidt, A., Buschek, D. y Welsch, R. (2024). The AI ghostwriter effect: When users do not perceive ownership of AI-generated text but self-declare as authors. ACM Transactions on Computer-Human Interaction, 31(2), 40.438-40.455. https://doi.org/10.1145/3637875

Duncan, L., Taasoobshirazi, G., Vaudreuil, A., Kota, J. S. y Sneha, S. (2023). An evaluation of impostor phenomenon in data science students. International Journal of Environmental Research and Public Health, 20(5), 1-13. https://doi.org/10.3390/ijerph20054115

Gerlich, M. (2025). AI tools in society: impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), 1-28. https://doi.org/10.3390/soc15010006

Gherheș, V. y Obrad, C. (2018). Technical and humanities students´ perspectives on the development and sustainability of artificial intelligence (AI). Sustainability, 10(9), 1-16. https://doi.org/10.3390/su10093066

Ghotbi, N. y Ho, M. T. (2021). Moral awareness of college students regarding artificial intelligence. Asian Bioethics Review, 13(4), 421-433. https://doi.org/10.1007/s41649-021-00182-2

Gray, J. A. y DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), 98-119.

Hair, J. F., Black, B., Babin, B. y Anderson, R. E. (2009). Multivariate Data Analysis (7.ª ed.). Prentice Hall.

Hassan, M. y Abubakar Funsho, A. (2025). Exploring the impact of integrative artificial intelligence tools on the writing proficiency of university students. Global Online Journal of Academic Research, 4(1), 90-101.

Isave, S. G. (2024). A study of the use of artificial intelligence by student-teachers. E-Methodology, 10, 123-134. https://doi.org/10.15503/emet2023.123.134

Joshi, N. y Vogel, D. (2024). Writing with AI lowers psychological ownership, but longer prompts can help. arXiv, 1-17. https://arxiv.org/abs/2404.03108

Kolligian Jr., J. y Sternberg, R. J. (1991). Perceived fraudulence in young adults: Is there an «impostor syndrome»? Journal of Personality Assessment, 56(2), 308-326. https://doi.org/10.1207/s15327752jpa5602_10

Kourtesis, P. (2024). The extended mind y body in extended realities: a scoping review of XR applications and risks in the metaverse [Preprint]. Preprints.org. https://doi.org/10.20944/preprints202409.0857.v2

Kumkale, G. T. y Albarracín, D. (2004). The sleeper effect in persuasion: a meta-analytic review. Psychological Bulletin, 130(1), 143-172. https://doi.org/10.1037/0033-2909.130.1.143

Lammertyn, M. (2024). Las estadísticas de ChatGPT más impactantes y lo que revelan sobre el avance de la IA. InvGate [Blog]. https://blog.invgate.com/es/estadisticas-de-chatgpt

Leary, M. R., Patton, K. M., Orlando, A. E. y Funk, W. W. (2000). The impostor phenomenon: self-perceptions, reflected appraisals, and interpersonal strategies. Journal of Personality, 68(4), 725-756. https://doi.org/10.1111/1467-6494.00114

Lubars, B. y Tan, C. (2019). Ask not what AI can do, but what AI should do: towards a framework of task delegability. Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) (pp. 1-11), Vancouver, Canadá. https://tinyurl.com/2yyv5hzm

Nylenna, M., Fagerbakk, F. y Kierulf, P. (2014). Authorship: attitudes and practice among Norwegian researchers. BMC Medical Ethics, 15(1), 1-6. https://doi.org/10.1186/1472-6939-15-53

Nypadymka, A., Lakiychuk, O. y Korbut, O. (2024). The role of AI in completing writing tasks by university students. Actual Problems of the Humanities, 73(2), 351-355. https://doi.org/10.24919/2308-4863/73-2-54

Papaioannou, G., Volakaki, M.ª-G., Kokolakis, S. y Vouyioukas, D. (2023). Learning spaces in higher education: a state-of-the-art review. Trends in Higher Education, 2(3), 526-545. https://doi.org/10.3390/higheredu2030032

Pedreño Muñoz, A., González Gosálbez, R., Mora Illán, T., Pérez Fernández, E. M., Ruiz Sierra, J. y Torres Penalva, A. (2024). Artificial Intelligence in Universities: Challenges and Opportunities. Group 1MillionBot. https://andrespedreno.com/ai-universities.pdf

Pierce, J. L., Kostova, T. y Dirks, K. T. (2003). The state of psychological ownership: integrating and extending a century of research. Review of General Psychology, 7(1). https://doi.org/10.1037/1089-2680.7.1.84

Risko, E. F. y Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676-688. https://doi.org/10.1016/j.tics.2016.07.002

Slimi, Z. (2023). The impact of artificial intelligence on higher education: an empirical study. European Journal of Educational Sciences, 10(1), 17-28. http://dx.doi.org/10.19044/ejes.v10no1a1

Song, J. y Lin, H. (2023). Exploring the effect of artificial intelligence intellect on consumer decision delegation: the role of trust, task objectivity, and anthropomorphism. Journal of Consumer Behaviour, 23(2), 727-747. https://doi.org/10.1002/cb.2234

Sutrisman, H., Simanjuntak, R., Prihartanto, A. y Kusumo, B. (2024). The impact of using AI in learning on understanding of material by young students. International Journal of Educational Research, 1(3), 24-32. https://doi.org/10.62951/ijer.v1i3.43

Tapal, A., Oren, E., Dar, R. y Eitam, B. (2017). The sense of agency scale: a measure of consciously perceived control over one´s mind, body, and the immediate environment. Frontiers in Psychology, 8, 1-11. https://doi.org/10.3389/fpsyg.2017.01552

Yang, X. (2022). Consumers' purchase intentions in social commerce: the role of social psychological distance, perceived value, and perceived cognitive effort. Information Technology y People, 35(8), 330-348. https://doi.org/10.1108/ITP-02-2022-0091

Zhao, P. y He, G. (2024). The impostor phenomenon of workplace artificial intelligence augmentation. Academy of Management Proceedings, 2024(1). https://doi.org/10.5465/AMPROC.2024.148bp