ARTIFICIAL INTELLIGENCE IN PHYSICS LEARNING: PERCEPTION AND APPLICATION

In terms of learning/teaching innovation, one of the topics generating the most analysis and discussion is the application of artificial intelligence, AI.Both, in learning and assessment processes.This work analyses the application of artificial intelligence in the learning process of Physics in Engineering studies (first-year students).Complementary, surveys have been carried out among students on the perception and degree of knowledge of AI.In general, they are more favorable to its application in learning and self-assessment processes than in professor assessment.A significant percentage of students are concerned about its future impact on the labor market.The practical application of AI has been carried out in the teamwork activities and, the generation of learning material.Concerning the perception of the AI risks, the survey statistical analysis shows that: i) provide insufficiently verified information, ii) provides incorrect or incomplete bibliography or iii) AI is not prepared for scientific or technological tasks/activities (even in paid versions of AI).In the generation of learning material, it has been found that AI easily provides incorrect material and that, if the student interacting is not an expert, the self-assessment material generated can be counterproductive.Some examples are shown.The system is evolving, and intelligent tutoring systems will end up being generated.In addition, as professors, we must be aware that current students are AI users, but in a few years, first-year students will already be AI natives.