Abstract:

In the technological evolution, artificial intelligence (AI) is occupying an increasingly important place, including in the field of education.

AI can influence personalized learning, can provide assessment and feedback to students, apply analysis algorithms in order to customize the learning process, to adapt, in real time, to students' needs.

The paper goal is to explain in simple terms what does AI do at its core and how the today's research try to simulate human perception and human actions with the aim of AI. It is hoped, through this paper, to understand how AI provides machines with the capability to adapt, to learn, to reason and to provide solutions. It will be explained how AI is different from Machine Learning and Deep Learning, how the machines mimic the behavior of humans, how the human brain inspired the research in AI, what are those algorithms by which machines are able to learn independently, to spot patterns and to make predictions. Obviously, AI is very present in our every day live: Google deliver such accurate search results in a short period of time; Facebook feed can give content exactly based on someone interest. In conclusion is highlighted why the humans will have to plan and work very carefully to ensure that in future they need to use this powerful technology wisely.

AI allows personalized adaptive learning by data-driven approach, which tracks the student's performance, using Machine Learning algorithms in order to predict results and adapt content to reflect student’s expertise and preferences.

Keywords:

Artificial Intelligence, Deep Learning, Machine Learning, Neuronal Network, Algorithms, Training data.