Formación Docente en IA Generativa: Impacto Ético y Retos en Educación Superior
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Referencias
Almassaad, A., Alajlan, H., & Alebaikan, R. (2024). Student Perceptions of Generative Artificial Intelligence: Investigating Utilization, Benefits, and Challenges in Higher Education. Systems, 12(10). Scopus. https://doi.org/10.3390/systems12100385
Archambault, S. G., Ramachandran, S., Acosta, E., & Fu, S. (2024). Ethical dimensions of algorithmic literacy for college students: Case studies and cross-disciplinary connections. Journal of Academic Librarianship, 50(3). Scopus. https://doi.org/10.1016/j.acalib.2024.102865
Baron, P. (2024). Are AI detection and plagiarism similarity scores worthwhile in the age of ChatGPT and other Generative AI? Scholarship of Teaching and Learning in the South, 8(2), 151-179. https://doi.org/10.36615/sotls.v8i2.411
Bendechache, M., Tal, I., Wall, P., Grehan, L., Clarke, E., Odriscoll, A., Der Haegen, L. V., Leong, B., Kearns, A., & Brennan, R. (2021). AI in My Life: AI, Ethics & Privacy Workshops for 15-16-Year-Olds. 34-39. Scopus. https://doi.org/10.1145/3462741.3466664
Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138. Scopus. https://doi.org/10.1016/j.chb.2022.107468
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00408-3
Chiu, T. K. F. (2024). Future research recommendations for transforming higher education with generative AI. Computers and Education: Artificial Intelligence, 6. Scopus. https://doi.org/10.1016/j.caeai.2023.100197
Chun, J., & Elkins, K. (2023). THE CRISIS OF ARTIFICIAL INTELLIGENCE: A NEW DIGITAL HUMANITIES CURRICULUM FOR HUMAN-CENTRED AI. International Journal of Humanities and Arts Computing, 17(2), 147-167. Scopus. https://doi.org/10.3366/ijhac.2023.0310
Cordero, J., Torres-Zambrano, J., & Cordero-Castillo, A. (2024). Integration of Generative Artificial Intelligence in Higher Education: Best Practices. Education Sciences, 15(1), 32. https://doi.org/10.3390/educsci15010032
Corfmat, M., Martineau, J. T., & Régis, C. (2025, enero). High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare. En BMC medical ethics (Vol. 26, Número 1, p. 4). https://doi.org/10.1186/s12910-024-01158-1
Crawford, J., Cowling, M., Ashton-Hay, S., Kelder, J.-A., Middleton, R., & Wilson, G. S. (2023). Artificial Intelligence and Authorship Editor Policy: ChatGPT, Bard Bing AI, and beyond. Journal of University Teaching and Learning Practice, 20(5). Scopus. https://doi.org/10.53761/1.20.5.01
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8
Dai, Y., Liu, A., & Lim, C. P. (2023). Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education. 119, 84-90. Scopus. https://doi.org/10.1016/j.procir.2023.05.002
Diao, S. (2020). The Reform of Teaching Management Mode Based on Artificial Intelligence in the Era of Big Data. 1533(4). Scopus. https://doi.org/10.1088/1742-6596/1533/4/042050
Eager, B., & Brunton, R. (2023). Prompting Higher Education Towards AI-Augmented Teaching and Learning Practice. Journal of University Teaching and Learning Practice, 20(5). Scopus. https://doi.org/10.53761/1.20.5.02
Feigerlova, E., Hani, H., & Hothersall-Davies, E. (2025). A systematic review of the impact of artificial intelligence on educational outcomes in health professions education. BMC Medical Education, 25(1), 129. https://doi.org/10.1186/s12909-025-06719-5
Flores-Vivar, J.-M., & García-Peñalvo, F.-J. (2023). Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4). Comunicar, 30(74), 35-44. Scopus. https://doi.org/10.3916/C74-2023-03
Gómez-Diago, G. (2022). Perspectives to address artificial intelligence in journalism teaching. A review of research and teaching experiences. Revista Latina de Comunicacion Social, 80, 29-46. Scopus. https://doi.org/10.4185/RLCS-2022-1542
Hagendorff, T. (2024). Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. Minds and Machines, 34(4), 39. https://doi.org/10.1007/s11023-024-09694-w
Javed, R. T., Nasir, O., Zea, E., Gupta, S., Vinuesa, R., & Qadir, J. (2022). Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula Loïs Vanhée. En KTH Royal Institute of Technology FLOW, Engineering Mechanics Osquars (Vol. 73, p. 44). https://wasp-hs.org/projects/
Keith, M., Keiller, E., Windows-Yule, C., Kings, I., & Robbins, P. (2025). Implementation and evaluation of generative artificial intelligence (GAI) in chemical engineering education. Education for Chemical Engineers. https://doi.org/10.1016/j.ece.2025.01.002
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructors: A case study. Computers and Education: Artificial Intelligence, 5. Scopus. https://doi.org/10.1016/j.caeai.2023.100156
Leoste, J., Jõgi, L., Õun, T., Pastor, L., San Martín López, J., & Grauberg, I. (2021). Perceptions about the future of integrating emerging technologies into higher education—The case of robotics with artificial intelligence. Computers, 10(9). Scopus. https://doi.org/10.3390/computers10090110
Lozano, A., & Blanco Fontao, C. (2023). Is the Education System Prepared for the Irruption of Artificial Intelligence? A Study on the Perceptions of Students of Primary Education Degree from a Dual Perspective: Current Pupils and Future Teachers. Education Sciences, 13(7). Scopus. https://doi.org/10.3390/educsci13070733
Ma, J. (2021). Intelligent Decision System of Higher Educational Resource Data Under Artificial Intelligence Technology. International Journal of Emerging Technologies in Learning, 16(5), 130-146. Scopus. https://doi.org/10.3991/ijet.v16i05.20305
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9). Scopus. https://doi.org/10.3390/educsci13090856
Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023). Generative AI tools and assessment: Guidelines of the world’s top-ranking universities. Computers and Education Open, 5. Scopus. https://doi.org/10.1016/j.caeo.2023.100151
Nam, B. H., & Bai, Q. (2023). ChatGPT and its ethical implications for STEM research and higher education: A media discourse analysis. International Journal of STEM Education, 10(1). Scopus. https://doi.org/10.1186/s40594-023-00452-5
Ng, D. T. K., Chan, E. K. C., & Lo, C. K. (2025). Opportunities, challenges and school strategies for integrating generative AI in education. Computers and Education: Artificial Intelligence, 8, 100373. https://doi.org/10.1016/j.caeai.2025.100373
Nikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G. M., Grundy, S., Lyden, S., Neal, P., & Sandison, C. (2023). ChatGPT versus engineering education assessment: A multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity. European Journal of Engineering Education, 48(4), 559-614. https://doi.org/10.1080/03043797.2023.2213169
Puerto, D. A., & Gutiérrez-Esteban, P. (2022). Artificial Intelligence as an Educational Resource during Preservice Teacher Training. RIED-Revista Iberoamericana de Educacion a Distancia, 25(2), 347-362. Scopus. https://doi.org/10.5944/ried.25.2.32332
Rudolph, J., Ismail, M. F. B. M., & Popenici, S. (2024). Higher Education’s Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania. Journal of University Teaching and Learning Practice, 21(6). Scopus. https://doi.org/10.53761/54fs5e77
Saltos, G. D. C., Oyarvide, W. V., Sánchez, E. A., & Reyes, Y. M. (2023). Bibliometric analysis on neuroscience, artificial intelligence and robotics studies: Emphasis on disruptive technologies in education. Salud, Ciencia y Tecnologia, 3. Scopus. https://doi.org/10.56294/saludcyt2023362
Sanusi, I. T., Oyelere, S. S., Vartiainen, H., Suhonen, J., & Tukiainen, M. (2023). A systematic review of teaching and learning machine learning in K-12 education. Education and Information Technologies, 28(5), 5967-5997. Scopus. https://doi.org/10.1007/s10639-022-11416-7
Silva-Rodriguez, J., Colomer, A., Dolz, J., & Naranjo, V. (2021). Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. IEEE Journal of Biomedical and Health Informatics, 25(8), 3094-3104. Scopus. https://doi.org/10.1109/JBHI.2021.3061457
Slimi, Z., & Carballido, B. V. (2023). Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies. TEM Journal, 12(2), 590-602. https://doi.org/10.18421/TEM122-02
Sperling, K., Stenberg, C.-J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6. Scopus. https://doi.org/10.1016/j.caeo.2024.100169
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning and Teaching, 6(1), 31-40. Scopus. https://doi.org/10.37074/jalt.2023.6.1.17
Tubella, A. A., Mora-Cantallops, M., & Nieves, J. C. (2024). How to teach responsible AI in Higher Education: Challenges and opportunities. Ethics and Information Technology, 26(1). https://doi.org/10.1007/s10676-023-09733-7
Usher, M., & Barak, M. (2024). Unpacking the role of AI ethics online education for science and engineering students. International Journal of STEM Education, 11(1). Scopus. https://doi.org/10.1186/s40594-024-00493-4
Vallis, C., Wilson, S., Gozman, D., & Buchanan, J. (2024). Student Perceptions of AI-Generated Avatars in Teaching Business Ethics: We Might not be Impressed. Postdigital Science and Education, 6(2), 537-555. Scopus. https://doi.org/10.1007/s42438-023-00407-7
van den Berg, G., & du Plessis, E. (2023). ChatGPT and Generative AI: Possibilities for Its Contribution to Lesson Planning, Critical Thinking and Openness in Teacher Education. Education Sciences, 13(10). Scopus. https://doi.org/10.3390/educsci13100998
Williams, R. T. (2023). The ethical implications of using generative chatbots in higher education. Frontiers in Education, 8. Scopus. https://doi.org/10.3389/feduc.2023.1331607
Yin Albert, C. C., Sun, Y., Li, G., Peng, J., Ran, F., Wang, Z., & Zhou, J. (2022). Identifying and Monitoring Students’ Classroom Learning Behavior Based on Multisource Information. Mobile Information Systems, 2022. Scopus. https://doi.org/10.1155/2022/9903342
Yue, M., Jong, M. S.-Y., & Ng, D. T. K. (2024). Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence education. Education and Information Technologies, 29(15), 19505-19536. Scopus. https://doi.org/10.1007/s10639-024-12621-2
Zhao, L., Wu, X., & Luo, H. (2022). Developing AI Literacy for Primary and Middle School Teachers in China: Based on a Structural Equation Modeling Analysis. Sustainability (Switzerland), 14(21). Scopus. https://doi.org/10.3390/su142114549