2024 Volume 39 Issue 1 Pages 59-64
This paper investigates misconceptions surrounding artificial intelligence (AI) concepts identified during a course titled "Informatics Education in the Age of AI", aimed primarily at first-year university students. The study highlights the importance of accurately understanding AI in today's technology-driven society. Through a series of lectures and hands-on exercises using tools such as Google's "Teachable Machine", students engaged in creating AI models while addressing common misconceptions. Eight categories of misconceptions were identified, ranging from the belief that small datasets can yield high accuracy to underestimating the necessity of data preprocessing and hyperparameter tuning. The findings underscore the need for effective educational strategies to equip students with a solid understanding of AI, thereby preparing them for both academic and professional challenges in a rapidly evolving landscape.
