Measurement of learning and misinformation about artificial intelligence in university students through a statistical model in the context of the knowledge society

Abstract

This study examines learning and misinformation about Artificial Intelligence (AI) among University students within the context of the Knowledge Society. Using a previously validated statistical model, we evaluated the perceptions of 142 students before and after a lecture on AI during the "Learn to Start" conferences in February 2024. Initial results indicated that 81 students correctly understood the concept of AI, while 51 had an incorrect understanding. Following the lecture, the number of students with correct understanding increased to 95, and those with incorrect understanding decreased to 43. Indicators of misinformation and ignorance were reduced from 39% to 32% and from 40% to 31%, respectively. This study highlights the importance of education in reducing misinformation and promoting a more accurate understanding of AI, which are crucial elements in the Knowledge Society. The results suggest that targeted educational interventions can significantly improve the understanding of complex concepts and reduce misinformation among students.