Dear Farkad Adnan,

Using computer simulations to teach AI concepts could greatly improve students' understanding by offering an interactive, hands-on learning approach; however, the level of education and prior experience of students with such tools is to be ensured before giving any intervention.

These tools may assist students in visualizing abstract ideas, experimenting with AI models, and seeing real-time outcomes, making complex theories easier to grasp, but concerns such as digital learning paradox and superficial learning exist.

By allowing learners to tweak variables, test different scenarios, and analyze results, simulations encourage deeper conceptual learning and critical thinking, which is backed by many research studies. They can also boost engagement and make AI education more accessible; easy access - hard retention could be a challenge.

Much research shows that experiential learning through simulations enhances retention and comprehension better than traditional teaching methods. However, challenges like resource limitations and cognitive overload must be addressed to maximize their impact on AI education.

I hope this piece of info will be helpful.

Computer simulations serve as a potent educational resource for AI, simplifying complex ideas, boosting student involvement, and providing practical experience. When well-crafted and applied, these simulations can considerably improve students' comprehension, knowledge retention, and self-assurance in this vital domain. However, poorly designed simulations risk overwhelming learners instead of aiding them.