Artificial intelligence (AI) is rapidly transforming the landscape of how we live – work, but also teaching and research. It offers unprecedented opportunities to enhance learning, accelerate discovery, and personalize education. In teaching, AI tools can support adaptive learning platforms, automate administrative tasks, provide real-time feedback, and facilitate inclusive, student-centered learning environments. In research, AI simplifies data analysis, uncovers patterns in vast datasets, enables predictive modeling, and even aids in hypothesis generation or academic writing. As these technologies evolve, educators and researchers must navigate not only the benefits but also the ethical, pedagogical, and methodological implications of integrating AI into their work. This intersection of AI with education and science invites us to rethink traditional roles, workflows, and the future of knowledge creation. In this session, we will look at how generative AI can help drive better outcomes in learning and research, how we can automate most tasks in these areas, and how to increase our productivity in the learning and research process.
- Teacher: Cvetko Andreeski
Cvetko Andreeski