Didactic strategy applying artificial intelligence and its impact on university teaching and learning (Original).
Keywords:
artificial intelligence; teaching learning; teaching strategyAbstract
The teaching strategy applying artificial intelligence in university teaching emerges as a crucial educational innovation. The relevance of this integration lies in its ability to transform the learning experience, personalizing instruction, improving feedback and promoting student autonomy. The main objective of this research was to analyze how artificial intelligence impacts teaching-learning processes, focusing on the optimization of pedagogical methods and the development of 21st century skills. The methodology involved selecting appropriate artificial intelligence techniques, such as recommendation systems and predictive analytics, to design interactive and adaptive content. Educational chatbots and automatic feedback systems were implemented to improve participation and continuous evaluation. The results demonstrated a positive transformation in the effectiveness of the educational process, evidenced by effective personalization, immediate feedback and development of key skills. The conclusions highlight the importance of this didactic strategy in the evolution of university education, marking its impact on the quality of teaching and learning. Artificial intelligence not only facilitates continuous improvement, but also contributes to the development of essential skills for students, preparing them for the challenges of a globalized and technological environment. This approach not only represents an innovative response to current educational challenges, but also paves the way for the future of higher education. This research was worked together with the research group "Development and Innovation in Information and Communications Technologies".
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