Day 1 - Keynote Address

09:00 AM To 09:30 AM

Keynote Address 1: The Future Of Education: How AI Is Transforming Teaching And Learning

Emmanuel Duplàa

Director

University of Ottawa

AI And Adaptive Learning Systems

09:30 AM To 10:00 AM

How Adaptive Learning Systems Can Personalize Learning And Adjust The Pace And Level Of Instruction To Suit Each Student's Abilities And Learning Style

Case Study: How The University Of Waterloo Collaborated With AI Startups To Develop Adaptive Learning Platforms That Cater To Diverse Student Learning Styles And Pace

Glaucia Melo

Faculty Lecturer

University of Waterloo

AI Intelligent Tutoring System

10:00 AM To 10:30 AM

Using AI To Create Intelligent Tutoring Systems And Provide Individualized Feedback And Instruction To Students

Case Study: How York University Developed An AI Intelligent Tutoring System (ITS) That Significantly Improves Student Learning Outcomes In Complex Subjects

Mayy Habayeb

Lead Instructor, Professor

York University

Networking

10:30 AM To 11:00 AM

Networking And Refreshment

Personalized Learning Using AI

11:00 AM To 11:30 AM

How AI Can Be Used To Personalize The Learning Experience For Each Student Based On Their Strengths, Weaknesses, And Preferences

Case Study: How Ontario Tech University Uses AI To Create Personalized Learning Paths For Students In Their Online Courses, Leading To Higher Completion Rates

Akira Tokuhiro

Professor

Ontario Tech University

Debate

11:30 AM To 12:00 PM

Debate Session: Will The Use Of AI In Education Lead To The Deskilling And Relevance Of Teachers?

Steve Angels

Professor

University of Toronto

Pamela Robinson

Professor

Toronto Metropolitan University

AI-Assisted Grading And Feedback

12:00 PM To 12:30 PM

How AI Can Be Used To Grade Assignments And Provide Feedback To Students, Saving Educators Time And Resources

Case Study: How Seneca College Implemented An AI System For Grading Assignments In Classrooms Helping To Reduce Turnaround Time And Increasing Overall Quality Of Feedback

Navid Nazhand

Professor

Seneca College

Lunch

12:30 PM To 01:30 PM

Lunch And Networking

Educational AI Chatbots

01:30 PM To 02:00 PM

How AI-Driven Chatbots In Answering Students' Queries, Providing Information, And Making The Learning Process Smoother

Case Study: How Seneca College Integrates AI Chatbots To Facilitate Student Navigate Course Selection And Academic Resources Which Helps To Improve Student Satisfaction And Overall Administrative Efficiency

Viji Angamuthu

Professor

Seneca College

Day 1 - Roundtable Discussion

02:00 PM To 03:00 PM

Roundtable 1:

  • Roundtable A: AI And Adaptive Learning Systems (Glaucia Melo)

  • Roundtable B: AI Intelligent Tutoring System (Mayy Habayeb)

  • Roundtable C: Personalized Learning Using AI (Akira Tokuhiro)

  • Roundtable D: AI-Assisted Grading And Feedback (Navid Nazhand)

Glaucia Melo

Faculty Lecturer

University of Waterloo

Mayy Habayeb

Lead Instructor, Professor

York University

Akira Tokuhiro

Professor

Ontario Tech University

Navid Nazhand

Professor

Seneca College

Networking

03:00 PM To 03:30 PM

Networking And Refreshment

Student Predictive Analytics

03:30 PM To 04:00 PM

How AI Can Be Used To Analyze Student Data And Predict Their Performance, Allowing Educators To Intervene And Provide Support When Needed

Case Study: How British Columbia Institute Of Technology Adopted Predictive Analytics To Identify Students At Risk Of Underperforming Enabling Timely Intervention

Ayesha Anzer

Faculty

British Columbia Institute of Technology

Generative AI

04:00 PM To 04:30 PM

How Generative AI Enables Quick Generation Of Content Based On A Variety Of Inputs Which Helps To Boost Educators Productivity And Efficiency

Case Study: How York University Uses Generative AI For Producing Custom Textbooks Based On Course Content, Offering A Tailored Study Experience

Faraz Zaidi

Data Scientist, Professor

York University

Smart Content Using AI

04:30 PM To 05:00 PM

How AI Can Be Used To Create And Deliver Dynamic Content That Adapts To Each Student's Learning Level And Style

Case Study: How McMaster University Partnered With AI Firms Across Toronto To Create Smart Content For Stem Courses Enhancing Learning With Interactive Simulations

Ben Tee Taylor

Professor, Postdoctoral Fellow

McMaster University

Champagne Networking

05:00 PM To 05:30 PM

We would like to invite you to the champagne networking session at the end of the first day of our conference. During this event, you will have the opportunity to network with a wide range of industry leaders and business partners, as well as broaden your business networks.

This powerful networking session will give you access to key influencers and our partners in the industry who have a wealth of experience and knowledge through the sessions they deliver at the main conference.

Day 2 - Keynote Address

09:00 AM To 09:30 AM

Keynote Address 2: Navigating The Pitfalls Of AI In Education: Lessons From The Frontlines

Dr. Kerstin Dautenhahn

Canada 150 Research Chair in Intelligent Robotics, Director

University of Waterloo

Immersive Learning Using Augmented And Virtual Reality

09:30 AM To 10:00 AM

How AI-Powered Augmented And Virtual Reality Tools Can Create Immersive Learning Experiences And Enhance Student Engagement

Case Study: How Queen's University Employs AR And VR Powered By AI To Create Immersive Realities With Students In The Classroom

Malek EL Kouzi

Professor, Information Technology Specialist

Queen's University

Gamification With AI

10:00 AM To 10:30 AM

How AI-Powered Games And Simulations Can Engage Students And Promote Learning Through Interactive Experiences

Case Study: How Ontario Tech University's Use Of Gamification Methods Using AI Has Helped Its Students Adapt Their Learning Speeds And Styles In Real-Time, Thereby Increasing Engagement And Motivation Among Them

Alvaro Joffre Uribe

Associate Professor

Ontario Tech University

Networking

10:30 AM To 11:00 AM

Networking And Refreshment

AI Digital Assistants

11:00 AM To 11:30 AM

The Use Of AI-Driven Digital Assistants In Providing Support And Guidance To Students

Case Study: How Toronto Metropolitan University Introduced An AI Digital Assistant That Helps Students Manage Their Academic Life From Scheduling To Study Resources

Xavier Fernando

Professor

Toronto Metropolitan University

Day 2 - Roundtable Discussion

11:30 AM To 12:30 PM

Roundtable 2:

  • Roundtable A: Immersive Learning Using Augmented And Virtual Reality (Malek EL Kouzi)

  • Roundtable B: Gamification With AI (Alvaro Joffre Uribe)

  • Roundtable C: AI Digital Assistants (Xavier Fernando)

  • Roundtable D: AI In Plagiarism Detection (Michelle Sengara)

Malek EL Kouzi

Professor, Information Technology Specialist

Queen's University

Alvaro Joffre Uribe

Associate Professor

Ontario Tech University

Xavier Fernando

Professor

Toronto Metropolitan University

Michelle Sengara

Director

York University

Lunch

12:30 PM To 01:30 PM

Lunch And Networking

AI In Plagiarism Detection

01:30 PM To 02:00 PM

How AI Can Be Used To Detect Academic Plagiarism And Maintain The Integrity Of The Learning Process

Case Study: How Universities Are Leveraging Next-Generation AI Tools To Uphold Academic Integrity In Digital Submission Environments

Michelle Sengara

Director

York University

Panel

02:00 PM To 02:30 PM

Panel Address: Will AI-Based Grading Eventually Become More Accurate And Fair Than Traditional Grading Methods?

Sebastian Maurice

Board Member AI Society

McMaster University

Josephine Naicker

AI & Data Analytics Lecturer

The University of Lethbridge

Paolo Granata

Associate Professor

University of St. Michael's College

Sherif Saad

Associate Professor

University of Windsor

AI Student Support Services

02:30 PM To 03:00 PM

How AI Can Assist In Providing A Range Of Student Support Services, Including Mental Health Counselling, Financial Aid Advising, And Academic Advising

Case Study: How University Of Toronto's AI-Driven Platform Offers Personalized Mental Health Resources And Career Advice To Students Based On Their Specific Needs And Interests

Roger Vandomme

Data Scientist, Professor

University of Toronto

Networking

03:00 PM To 03:30 PM

Networking And Refreshment

Voice-Based Education

03:30 PM To 04:00 PM

How Voice-Based AI Technologies Can Provide Students With Hands-Free Access To Educational Resources And Information

Case Study: How George Brown College Developed A Voice-Activated Learning Assistant For Students And Hence Improving Access To Course Materials And Support

Vejey Subash Gandyer

Professor

George Brown College

AI In Special Education

04:00 PM To 04:30 PM

The Potential Of AI In Designing Tailored Education Programs For Students With Special Needs, Improving Accessibility And Inclusion

Case Study: How Lamar University's Special Education Department Uses AI To Develop Personalised Learning Plans And Tools For Students With Learning Disabilities, Enhancing Their Educational Outcomes

Alyse Jordan

Head of Research, Engagement and Learning

Lamar University

Collaborative Learning

04:30 PM To 05:00 PM

AI-Powered Collaborative Learning Systems Can Facilitate Group Work And Peer-To-Peer Learning, Providing Students With Valuable Social And Cognitive Skills

Case Study: How Ted Rogers School Of Management's AI Platform Fosters Global Collaborative Projects Among Students, Enriching Their Educational Experience Through Diverse Perspectives And Teamwork

Dr. Ozgur Turetken

Associate Dean, Research & Professor

Ted Rogers School of Management

Site Tour 1: University of Toronto, Faculty of Education and AI Research Facilities

09:00 AM To 12:00 PM

University of Toronto stands in the forefront of AI and education where cutting-edge research and innovative applications converge to shape the future of learning. During this exclusive site tour, participants will have the rare opportunity to explore the university's state-of-the-art AI research facilities and witness firsthand how these revolutionary technologies are being developed and implemented.


 

Site Tour 2: York University, AI@YorkU

01:00 PM To 04:00 PM

Experience the cutting-edge of AI in education at York University's renowned AI@YorkU. During this exclusive site visit, delegates will have the unique opportunity to witness firsthand how AI is revolutionizing the learning experience. Discover how AI@YorkU is developing personalized learning tools that adapt to each student's unique learning style, ensuring that every individual receives the support and guidance they need to excel.


 

25 November 2024: Champagne Networking Session

We would like to invite you to the champagne networking session at the end of the first day of our conference. During this event, you will have the opportunity to network with a wide range of industry leaders and business partners, as well as broaden your business networks.

This powerful networking session will give you access to key influencers and our partners in the industry who have a wealth of experience and knowledge through the sessions they deliver at the main conference.

27 November 2024: Site Tour to University of Toronto, Faculty of Education and AI Research Facilities

Immerse yourself in the forefront of AI and education at the prestigious University of Toronto, where cutting-edge research and innovative applications converge to shape the future of learning. As a global leader in AI and education, the University of Toronto's groundbreaking work perfectly aligns with the summit's mission to revolutionize education through artificial intelligence. During this exclusive site tour, participants will have the rare opportunity to explore the university's state-of-the-art AI research facilities and witness firsthand how these revolutionary technologies are being developed and implemented. Discover the latest breakthroughs in AI-driven tools, technologies, and learning platforms that are transforming the educational landscape by creating personalized learning paths tailored to each student's unique needs and abilities.

27 November 2024: Site Tour to York University, AI@YorkU

Experience the cutting-edge of AI in education at York University's renowned AI@YorkU. During this exclusive site visit, delegates will have the unique opportunity to witness firsthand how AI is revolutionizing the learning experience, making it more engaging, adaptive, and effective than ever before. Step into York's state-of-the-art classrooms and laboratories, where groundbreaking work is taking place at the intersection of education and technology. Discover how AI@YorkU is developing personalized learning tools that adapt to each student's unique learning style, ensuring that every individual receives the support and guidance they need to excel. Explore the university's innovative projects, such as intelligent tutoring systems, AI-powered assessment tools, and immersive educational experiences that bring learning to life.