El gaming condicional y el aprendizaje distribuido:  propuesta de modelo teórico-pedagógico para  plataformas educativas adaptativas

Dionisio Gutierrez Lira

doi:10.56200/mentor.v5i5.13452

Autores/as

Dionisio Gutierrez Lira Universidad Veracruzana, Sistema de Enseñanza Abierta. Xalapa-México https://orcid.org/0009-0003-9291-2604

DOI:

https://doi.org/10.56200/mentor.v5i5.13452

Palabras clave:

Gamificación educativa, aprendizaje distribuido, acceso condicional, inteligencia artificial educativa, diseño instruccional

Resumen

La gamificación educativa y el aprendizaje distribuido contaban con fundamentos teóricos y evidencia independiente, pero su integración en plataformas adaptativas mediante acceso lúdico condicionado al desempeño académico permanecía insuficientemente articulada. El objetivo fue construir y fundamentar teóricamente un modelo de gaming condicional que integrara gamificación educativa, aprendizaje distribuido y Teoría de la Autodeterminación, así como establecer condiciones pedagógicas, tecnológicas y éticas para su futura implementación. Se realizó una revisión documental de literatura científica e institucional sobre gamificación, práctica distribuida, motivación, inteligencia artificial educativa, analítica de aprendizaje y diseño inclusivo, seleccionada en bases de datos académicas y repositorios especializados. Como resultado, se formuló una arquitectura conceptual compuesta por capa académica, capa lúdica y motor de evaluación adaptativa con supervisión docente, además de criterios preliminares sobre selección de juegos, transparencia, privacidad, equidad digital y prevención del desplazamiento motivacional. Se concluyó que el modelo presentó plausibilidad teórica para ser evaluado como estrategia de integración entre aprendizaje distribuido y experiencias lúdicas condicionadas al desempeño, sin que ello permitiera afirmar todavía eficacia, viabilidad operativa o impacto educativo demostrado.

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Biografía del autor/a

Dionisio Gutierrez Lira, Universidad Veracruzana, Sistema de Enseñanza Abierta. Xalapa-México

Universidad Veracruzana, Sistema de Enseñanza Abierta. Xalapa-México

Citas

Bautista Godínez, T., Castañeda Garza, G., Pérez Mora, R., Ceballos, H. G., Luna de la Luz, V., Moreno-Salinas, J. G., Zavala-Sierra, I. R., Santos-Solórzano, R., Moreno Arellano, C. I., & Sánchez-Mendiola, M. (2024). Perspectives and opportunities for learning analytics integration: A qualitative study in Mexican universities. In Journal of Learning Analytics, 11(1), (pp. 49–66). https://doi.org/10.18608/jla.2024.8125

Bulut, A., & Ulusoy, F. (2026). Artificial intelligence in gamification: A systematic review. In Entertainment Computing, 57, Article 101112. https://doi.org/10.1016/j.entcom.2026.101112

Carpenter, S. K., Pan, S. C., & Butler, A. C. (2022). The science of effective learning with spacing and retrieval practice. In Nature Reviews Psychology, 1(9), (pp. 496–511). https://doi.org/10.1038/s44159-022-00089-1

Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. In Psychological Bulletin, 125(6), (pp. 627–668). https://doi.org/10.1037/0033-2909.125.6.627

Dehghanzadeh, H., Farrokhnia, M., Dehghanzadeh, H., Taghipour, K., & Noroozi, O. (2024). Using gamification to support learning in K-12 education: A systematic literature review. In British Journal of Educational Technology, 55(1), (pp. 34–70). https://doi.org/10.1111/bjet.13335

Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining “gamification.” In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (pp. 9–15). https://doi.org/10.1145/2181037.2181040

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. In Psychological Science in the Public Interest, 14(1), (pp. 4–58). https://doi.org/10.1177/1529100612453266

European Commission, Directorate-General for Education, Youth, Sport and Culture. (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Publications Office of the European Union. https://doi.org/10.2766/153756

European Parliament, & Council of the European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Publications Office of the European Union. https://op.europa.eu/es/publication-detail/-/publication/dc8116a1-3fe6-11ef-865a-01aa75ed71a1/language-en

Gao, F. (2024). Advancing gamification research and practice with three underexplored ideas in self-determination theory. In TechTrends, 68, (pp. 661–671). https://doi.org/10.1007/s11528-024-00968-9

Gravel, J. W., Tucker-Smith, N., Rose, D. H., Fornauf, B., Hughes, M. M., Lester, L., Rao, K., Singer, S., & Waitoller, F. R. (2026). UDL Guidelines 3.0: A community-driven, research-based process toward fulfilling the promise of Universal Design for Learning. In The International Journal of Universal Design and Universal Design for Learning, 1(2). https://doi.org/10.34874/PRSM.ijududl-vol1iss2.6592

Greving, C. E., & Richter, T. (2021). Beyond the distributed practice effect: Is distributed learning also effective for learning with non-repeated text materials? In Frontiers in Psychology, 12, Article 685245. https://doi.org/10.3389/fpsyg.2021.685245

Hou, H.-T. (2023). Diverse development and future challenges of game-based learning and gamified teaching research. In Education Sciences, 13(4), Article 337. https://doi.org/10.3390/educsci13040337

Ikram, M., Hanefar, S. B. M., Saleem, S. M. U., & Zulfiqar, F. (2026). Artificial intelligence in education: A systematic review of personalized learning trends and future directions. In Frontiers in Education, 11, Article 1782626. https://doi.org/10.3389/feduc.2026.1782626

Jisc. (2015). Code of practice for learning analytics. https://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics

Kurnaz, M. F., & Koçtürk, N. (2025). A meta-analysis of gamification’s impact on student motivation in K-12 education. In Psychology in the Schools, 62(12), (pp. 4997–5009). https://doi.org/10.1002/pits.70056

Lampropoulos, G., Mukta, B. G., & Anastasiadis, T. (2025). Gamification in learning management systems: A systematic literature review. Information, 16(12), Article 1094. https://doi.org/10.3390/info16121094

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084

Miao, F., & Holmes, W. (2024). Guía para el uso de IA generativa en educación e investigación. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000389227

Naseer, F., Khan, M. N., Addas, A., Awais, Q., & Ayub, N. (2025). Game mechanics and artificial intelligence personalization: A framework for adaptive learning systems. In Education Sciences, 15(3), Article 301. https://doi.org/10.3390/educsci15030301

OECD. (2026). OECD digital education outlook 2026: Exploring effective uses of generative AI in education. OECD Publishing. https://doi.org/10.1787/062a7394-en

Park, J., Kim, S., Kim, A., & Yi, M. Y. (2019). Learning to be better at the game: Performance vs. completion contingent reward for game-based learning. In Computers & Education, 139, (pp. 1–15). https://doi.org/10.1016/j.compedu.2019.04.016

Ratinho, E., & Martins, C. (2023). The role of gamified learning strategies in student’s motivation in high school and higher education: A systematic review. In Heliyon, 9(8), Article e19033. https://doi.org/10.1016/j.heliyon.2023.e19033

Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu (Y. Punie, Ed.). Publications Office of the European Union. https://doi.org/10.2760/159770

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. In American Psychologist, 55(1), (pp. 68–78). https://doi.org/10.1037/0003-066X.55.1.68

Sailer, M., & Homner, L. (2020). The gamification of learning: A meta-analysis. In Educational Psychology Review, 32(1), (pp. 77–112). https://doi.org/10.1007/s10648-019-09498-w

Tarigan, J. T., Zendrato, N., Isaias, P., & Kommers, P. (2025). Learn, earn, and game on: Integrated reward mechanism between educational and recreational games. Education Sciences, 15(9), Article 1202. https://doi.org/10.3390/educsci15091202

Triantafyllou, S. A., Georgiadis, C. K., & Sapounidis, T. (2025). Gamification in education and training: A literature review. In International Review of Education, 71(3), (pp. 483–517). https://doi.org/10.1007/s11159-024-10111-8

Viberg, O., Kizilcec, R. F., Jivet, I., Martínez Monés, A., Oh, A., Mutimukwe, C., Hrastinski, S., & Scheffel, M. (2024). Cultural differences in students’ privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United States. In Computers in Human Behavior Reports, 14, Article 100416. https://doi.org/10.1016/j.chbr.2024.100416

Yang, J., & Li, R. (2025). The art and science of serious game design: A quasi-experimental study based on self-determination theory in traditional Chinese culture education. Frontiers in Psychology, 16, Article 1536513. https://doi.org/10.3389/fpsyg.2025.1536513

Zeng, J., Sun, D., Looi, C.-K., & Fan, A. C. W. (2024). Exploring the impact of gamification on students’ academic performance: A comprehensive meta-analysis of studies from the year 2008 to 2023. In British Journal of Educational Technology, 55(6), (pp. 2478–2502). https://doi.org/10.1111/bjet.13471

Zhou, Y., Hartley, R., Bernardelli, A., & Tolmie, A. (2025). The impact of spaced learning within physics lessons in secondary schools. PLoS ONE, 20(4), Article e0321552. https://doi.org/10.1371/journal.pone.0321552