Artificial intelligence is creating a new and challenging reality in higher education. It is changing the way we teach, learn, assess, and design instruction. Questions and dilemmas are emerging regarding the ethics of using AI and the impact of these new tools on students’ independent and critical thinking abilities.
At the same time, there are additional topics that must be addressed in the context of academic education in the age of AI: the proper integration of AI-based tools in learning makes it possible to develop dynamic teaching environments that foster critical thinking, creativity, teamwork, and innovation. AI contributes to the improvement of knowledge, but also to the cultivation of a wide range of cognitive, communicative, and professional skills. Integrating AI into active methodologies such as Project-Based Learning (PBL) and Challenge-Based Learning (CBL) encourages experiential learning based on solving real-world problems and promotes essential skills for integration into the workforce. AI-based tools enable students to practice academic writing, information search and analysis, presentation building, coding, communication scenarios, and even prepare résumés and practice job interviews—all with personalized adaptation, progress monitoring, and immediate feedback.
For some time now, the Center for the Promotion of Learning and Teaching has been leading activities on the informed integration of artificial intelligence in academic teaching in STEM fields at the Technion. We invite you to join the Technion community, raise issues that interest and concern you these days, and participate in the discussions and workshops we hold periodically.
Here you can find recommendations, suggestions, and explanations, as well as examples of using AI tools in academic teaching. We have compiled for you a list of recommended tools for teaching with AI.
