The introduction of Generative AI (GenAI) has definitely revolutionized the way I approach studying, GenAI tools act as my personal digital ‘study tutors’. For instance, one of the features I use the most is its ability to generate explanations of difficult academic topics making it easier to understand these concepts. Moreover, instead of spending hours reading articles, it helps me to quickly extract the highlights of the text, saving me time and helping me understand the key ideas more efficiently. In addition to automating repetitive, lengthy tasks, I also use the tool to prepare for exams by simulating exam questions on course content. This engages me in active learning, making studying more interactive and less passive. Especially since my self-proclaimed ‘study tutor’ resonates with my personal learning preferences, so it adjusts to my learning pace and style, which ultimately enhances my learning process.
However, when I compare the AI-generated ‘study tutor’ to a professor teaching, there are some notable differences. Lectures typically offer in-depth analysis and a structured approach to teaching and conveying knowledge. Furthermore, the professor’s expertise and contextual understanding add extra layers of insight that the GenAI tool sometimes lacks. So I would say that my ‘study tutor’ is useful for quick clarifications and generating summaries/practice exams, but doesn’t yet replace the depth and nuance of traditional learning methods.
In conclusion, while GenAI greatly enhances my learning through summaries and adaptive tutoring, it works best as a supplement to traditional methods, providing efficiency and customization alongside more extensive academic resources.
