Ido seeks to understand how students become better learners and scientists and how this process can be supported using artificial intelligence and innovative interaction design. Towards that goal, Ido develops intelligent and adaptive learning environments that facilitate meaningful learning in which learners explore, err, and make sense of their learning. Developing learning analytics techniques allows him to assess learning processes, inform theories of learning, and provide tools for teachers. Ido is particularly interested in using large-scale fine-grain data across different time scales, from seconds (in problem solving environments and simulations) to months (in MOOCs and full courses).
Ido is an adjunct professor in the Faculty of Data and Decision Sciences at the Technion. He is also a member of the PISA Special Domains Expert Group, as well as the PISA Research and Innovation Group. He previously chaired the international conferences on Artificial Intelligence in Education and on Learning@Scale. Ido received his PhD from Carnegie Mellon University, and later served as the Director of the Institute for Scholarship of Teaching and Learning at the University of British Columbia.
