IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATION

Artificial intelligence: challenges, opportunities and future plans. Ethical guidelines on the use of AI and data in teaching and learning. Digital skills including AI. New EU law on AI. Problems of intellectual property.

Adaptive learning: how to create the environments that adjust to each student's needs and abilities. How AI can be used to personalize the learning experience for each student based on their individual needs.

AI Grading Systems. How AI can be used to expedite the assessment process, provide feedback to students, and saving educators time? Live prompts and examples to show how tools can help with the process.

AI predictive analytics. How can Al can be used to analyze past academic records and behavior patterns and identify students who may be at risk of underperforming.

Leveraging AI to identify and close skills gaps.

Intelligent Tutoring Systems. Individualized feedback and instruction to students with AI: opportunities and challenges.

Implementing AI Chatbots. How 24/7 academic assistance enhance student support?

AI for students with learning disabilities. Best practice how to integrate voice-based platforms in a curriculum

Generative AI: how can be used to assist in research and to boost educators productivity.

Smart content creation: using AI to generate content that adapts to each student's learning level.

AI-powered augmented and virtual reality tools. How to enhance student engagement using AR And VR powered by AI?

Successful experience in integrating AI-Powered games and simulations at a university.

Al Detection. The usage of AI to detect academic plagiarism and maintain the integrity of the learning process.

AI student support services, including mental health counseling, financial aid advising, and academic advising.