Intelligent assistants in engineering education

Resumen

The advance of artificial intelligence and its integration into education has enabled the development of intelligent assistants that improve teaching and learning in various disciplines. In engineering, these technologies optimise the personalisation of learning, facilitate the understanding of complex concepts and improve interaction between students and teachers. However, the adoption of these systems faces challenges such as the digital divide, technological infrastructure and resistance to change in academic environments. This study analyses the impact of the use of intelligent assistants in engineering education, identifying their benefits, challenges and applications in different pedagogical models. A document review methodology was employed based on the analysis of previous research and case studies that demonstrate the effectiveness of these tools in higher education. In addition, various platforms and applications that have integrated artificial intelligence to personalise teaching and enhance the learning experience for students were examined. The results indicate that intelligent assistants can enhance adaptive learning, improve knowledge retention and facilitate task automation in educational environments. Their integration with innovative methodologies such as gamification, problem-based learning and STEM education has proven to be effective in improving academic performance and fostering the development of technical and analytical skills in engineering students. However, their implementation requires adequate teacher training, improvements in technological infrastructure and strategies to reduce the digital divide to ensure equitable access to these tools.