Trends and strategies in contemporary university teaching with the application of artificial intelligence

Authors

DOI:

https://doi.org/10.56368/Entrelineas311

Keywords:

educational technologies, artificial intelligence, personalized teaching, automated assessment, collaborative Learning

Abstract

With the objective of identifying and describing some of the most relevant trends and strategies in contemporary university didactics, a qualitative and cross-sectional study was carried out reviewing the literature from 2001 to 2024. This analysis covered the evolution of automation and examined the use of artificial intelligence as a support factor for didactic processes in online education. As a result, four trends and three strategies that integrate artificial intelligence into teaching approaches were identified. It is concluded that strategies such as personalized learning, automated assessment and the use of chatbots that use artificial intelligence are current trends, designed to adapt to virtual education and improve the effectiveness of the educational process.

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References

Bradáč, V., Smolka, P., Kotyrba, M., & Průdek, T. (2022). Design of an intelligent tutoring system to create a personalized study plan using expert systems. Applied Sciences, 12(12), 6236. https://doi.org/10.3390/app12126236

California State University San Marcos. (2022). Introduction to Trends and Issues. https://www.studocu.com/en-us/document/california-state-university-san-marcos/sales-management/introduction-to-trends-and-issues/21816357

Eibanna, A. (2022). Artificial Intelligence in E-learning. In Skolera. https://blog.skolera.com/artificial-intelligence-in-e-learning/

Frana, P. L. (2018). Telematics and the early history of international digital information flows. IEEE Annals of the History of Computing, 40(2), 32-47. https://doi.org/10.1109/MAHC.2018.02292144

García-Chitiva, M. D. P., & Suárez Guerrero, C. (2019). Estado de la investigación sobre la colaboración en Entornos Virtuales de Aprendizaje. Pixel-Bit: Revista de Medios y Educación, 56, 169-191. https://doi.org/10.12795/pixelbit.2019.i56.09

García-Peñalvo, F. J. (2005). Estado actual de los sistemas e-learning. Education in the knowledge society (EKS), 6(2). https://revistas.usal.es/index.php/eks/article/download/18184/18502

García-Peñalvo, F.J. (2024). Cómo afecta la inteligencia artificial generativa a los procesos de evaluación. Cuadernos de Pedagogía, (549), 1-7. https://revistas.usal.es/index.php/eks/article/download/18184/18502

Hidalgo Suárez, C. G., Llanos Mosquera, J. M., & Bucheli Guerrero, V. A. (2021). Una revisión sistemática sobre aula invertida y aprendizaje colaborativo apoyados en inteligencia artificial para el aprendizaje de programación. Tecnura, 25(69), 196-214. https://doi.org/10.14483/22487638.16934

Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001

Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017

Lévano-Francia, L., Sánchez Diaz, S., Guillén-Aparicio, P., Tello-Cabello, S., Herrera-Paico, N., & Collantes-Inga, Z. (2019). Competencias digitales y educación. Propósitos y representaciones, 7(2), 569-588. http://dx.doi.org/10.20511/pyr2019.v7n2.329

Maghsudi, S., Lan, A., Xu, J., & van Der Schaar, M. (2021). Personalized education in the artificial intelligence era: what to expect next. IEEE Signal Processing Magazine, 38(3), 37-50. https://arxiv.org/pdf/2101.10074

Mahala, A. (2024). The Integration of Artificial Intelligence in E-Learning: Opportunities and Challenges. Seagull Journals, 1(2), 7-19. https://www.seagulljournals.com/VolumeArticles/FullTextPDF/53_Research_Paper.pdf

Mallart i Navarra, J. (2001) Didáctica: concepto, objeto y finalidades. En Sepúlveda, Félix & Rajadell, Núria (Coords.) Didáctica general para psicopedagogos. UNED, pp. 23-57. https://bit.ly/45HmxIe

Míguez Palermo, M. (2005). El núcleo de una estrategia didáctica universitaria: motivación y comprensión. Revista ieRed: Revista Electrónica de la Red de Investigación Educativa, 1(3), 1-11. https://bit.ly/3zlS1aT

Neumann, A. T., Arndt, T., Köbis, L., Meissner, R., Martin, A., de Lange, P., ... & Wollersheim, H. W. (2021). Chatbots as a tool to scale mentoring processes: Individually supporting self-study in higher education. Frontiers in artificial intelligence, 4, 668220. https://doi.org/10.3389/frai.2021.668220

Orlich, D. C., Harder, R. J., Callahan, R. C., Trevisan, M. S. T., & Brown, A. H. (2010). Teaching strategies: A guide to effective instruction. Wadsworth, Cengage Learning.

Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.

Peters, O. (2002). Distance education in transition: New trends and challenges. Bis Verlag.

Rodríguez Illera, J. L. (2001). Aprendizaje colaborativo en entornos virtuales. Anuario de psicología/The UB Journal of psychology, 63-76. https://www.raco.cat/index.php/AnuarioPsicologia/article/download/61669/88436

Roos, S. (2018). Chatbots in education: A passing trend or a valuable pedagogical tool? Uppsala University.

Shum, S. B., & Ferguson, R. (2012). Social learning analytics. Journal of educational technology & society, 15(3), 3-26. https://acortar.link/5iyVBO

Stella Serrano, C. (2023). La llegada de la inteligencia artificial y el problema de la evaluación en la docencia universitaria. El sistema educativo en crisis. Encuentros Multidisciplinarios, (74), 1-15. http://hdl.handle.net/10486/711916

Sun, A., & Chen, X. (2016). Online education and its effective practice: A research review. Journal of information technology education: Research, 15, 157-190. https://acortar.link/8Qdzyt

Xia, X. & Li, X. (2022). Artificial Intelligence for Higher Education Development and Teaching Skills. Wireless Communications and Mobile Computing, 1-10. https://doi.org/10.1155/2022/7614337

Yu, S., & Lu, Y. (2021). An introduction to artificial intelligence in education. Springer.

Zabalza Beraza, M. Á. (2007). La didáctica universitaria. Bordón: Revista de Pedagogía, 59 (2-3), 489-509. https://dialnet.unirioja.es/descarga/articulo/2553099.pdf

Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542. https://doi.org/10.1155/2021/8812542

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Published

2024-06-30

Issue

Section

Theoric articles

How to Cite

Chanis, L. (2024). Trends and strategies in contemporary university teaching with the application of artificial intelligence. Entrelíneas, 3(1), 78-91. https://doi.org/10.56368/Entrelineas311

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