Dr. Osmar R. Zaiane

University of Alberta

Computing Science Professor
AMII Fellow
 

Osmar R. Zaïane is a Professor in Computing Science at the University of Alberta, Canada, Fellow of the Alberta Machine Intelligence Institute (Amii), and Canada CIFAR AI Chair. He is also a Fellow of the Canadian Academy of Engineering. Dr. Zaiane obtained his Ph.D. from Simon Fraser University, Canada, in 1999. He has published more than 400 papers in refereed international conferences and journals. He is Associate Editor of many International Journals on data mining and data analytics and served as program chair and general chair for scores of international conferences in the field of knowledge discovery and data mining. Dr. Zaiane received numerous awards including the Killam Professorship award, the McCalla Research Professorship, and the ACM SIGKDD Service Award from the ACM Special Interest Group on Data Mining, which runs the world’s premier data science, big data, and data mining association and conference.

https://webdocs.cs.ualberta.ca/~zaiane/
https://www.amii.ca/

 

© 2018—2024 Intellimedia LP

Guiding Questions

As a result of participating in this pre conference, you will have the opportunity to address these learning outcomes through these guiding questions:

  1. How can artificial intelligence be leveraged to build effective relationships and advance practice and enhance and extend access to learning for all students?
  2. How can system education leaders ensure policies provide an ethical  frame for potential uses in ways that support inclusion, equity, decolonization and optimum learning?
  3. What risks, barriers and biases must system education leaders mitigate?
    • What are the ethical considerations related to AI in teaching and learning?
  4. How can system education leaders use AI to inform decision-making, realize efficiencies and improve operations? ( e.g., business administration, strategic/education planning).

This will close in 0 seconds

Learning Outcomes

As a result of participating in this pre conference, you will have the opportunity to create the conditions for “optimum learning for all” through the following themes: (The following content was generated with the assistance of an AI language model, ChatPGP 3.5).

  • Fundamental Questions
    • Uncover the fundamental questions surrounding AI's influence on education and participate in discussions led by experts and system leaders.
  • Potential Benefits and Challenges
    • Gain insights into the potential benefits of AI in education while addressing the inherent challenges it brings.
  • Policy and Practice
    • Explore the implications of AI for policy and practice, paving the way for informed decision-making at various levels.

This will close in 0 seconds