AI Institute coming
winter 2025
March 3rd, 4th, and 5th
Attend one day, two days or all three
The AI Institute is a collaborative professional learning opportunity for the Humber community, focusing on exploration and understanding of Artificial Intelligence, especially Generative AI (GenAI), in higher education. Participants will engage with each other to highlight the fundamental concepts, capabilities, and limitations of GenAI in teaching and learning, along with its implications for employability, assessment, and ethical considerations. The AI Institute will provide practical strategies for effectively integrating AI tools into teaching practices while fostering cross-disciplinary conversations to share differing perspectives, knowledge and resources. Attendees will also create learning tasks that demonstrate the application of GenAI, translating their knowledge into actionable strategies for their professional practice.
Artificial Intelligence (AI) Institute Learning Outcomes:
Participants who complete all 3 days of the AI Institute will be able to:
- Identify and describe the fundamental concepts, capabilities, and limitations of Generative AI, including its underlying technologies, and its potential impact on higher education.
- Explore and analyze the employability, assessment, ethical considerations, and practical applications of Generative AI in higher education.
- Identify how to integrate AI tools effectively into one's teaching and learning practices.
- Engage in cross-disciplinary conversations to share knowledge, resources, and ideas on the advancement of AI use in education.
- Critically evaluate ethical issues surrounding AI use across Humber with a focus on ensuring equitable and responsible AI practices.
- Utilize AI tools to design inclusive and flexible learning environments, applying Universal Design for Learning (UDL) principles to remove barriers and support diverse learners in their academic success.
- Create a learning task that incorporates GenAI to demonstrate its application in teaching and learning.
Participation and Recognition of Attendance and Completion
Participants of the AI Institute will have the flexibility to attend one, two, or all three days of the event. Each day of participation will earn the participants a digital badge, which they can collect at the end of each day. These badges are stackable, meaning participants who attend all three days and successfully complete a final assessment on Day 3 will earn a Micro-Credential. This Micro-credential recognizes the participants' comprehensive understanding and application of AI in higher education.
- The AI Primer will introduce Generative AI through an asynchronous, reflection module. This AI Primer will provide participants with foundational knowledge of GenAI concepts and tools, encouraging them to reflect on its implications for higher education. The module will help participants build a basic understanding of AI, preparing them for additional review and exploration during the Winter 2025 AI Institute.
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Morning Session (AM): Welcome and Introduction to AI
- Day 1 will begin with a welcome session, setting the stage for the AI Institute. Participants will be introduced to the foundational concepts of AI, including a teaching and learning framework that outlines the various types of AI, with a focus on Generative AI. This session will highlight the role of AI in higher education, its potential for teaching and learning, and key considerations for its ethical and effective use.
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Afternoon Session (PM): Interactive Working Groups with Subject Matter Experts (SMEs)
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In the afternoon, participants will engage in interactive working groups led by Subject Matter Experts
(SMEs). These sessions will be tailored to participants' levels of AI knowledge, offering opportunities to
explore a variety of AI tools and applications in a hands-on environment. Using “sandbox environments”,
participants will experiment with AI technologies, receive guidance from the subject matter experts, and
discuss practical ways to incorporate AI into their teaching practices. This session will encourage
exploration and collaborative learning.
Each working session will offer participants the opportunity to engage with subject matter experts and experiment with AI tools, tailored to different levels of experience.
-
In the afternoon, participants will engage in interactive working groups led by Subject Matter Experts
(SMEs). These sessions will be tailored to participants' levels of AI knowledge, offering opportunities to
explore a variety of AI tools and applications in a hands-on environment. Using “sandbox environments”,
participants will experiment with AI technologies, receive guidance from the subject matter experts, and
discuss practical ways to incorporate AI into their teaching practices. This session will encourage
exploration and collaborative learning.
-
Morning Session (AM): Keynote with Janet Corral
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In Day 2 we will begin with a keynote address by Janet Corral, focusing on the opportunities with AI,
ethical considerations and critical thinking necessary when incorporating AI and emerging technologies in
higher education.
This keynote will be streamed and open to the entire Humber community and will address the broader societal, ethical, and educational opportunities and implications of AI, setting the tone for thoughtful reflection and discussion throughout the day.
-
In Day 2 we will begin with a keynote address by Janet Corral, focusing on the opportunities with AI,
ethical considerations and critical thinking necessary when incorporating AI and emerging technologies in
higher education.
-
Afternoon Session (PM): Interactive Workshop with Janet Corral
- Day 2 afternoon session(s) will feature an interactive workshop led by Janet Corral, where participants will engage in deeper discussions about the ethical use of AI. The workshop will challenge participants to think critically about their own practices and explore the balance between innovation and responsibility in AI-driven education.
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Morning Session (AM): Practical Application of AI in UDL
- Day 3 will focus on the practical integration of AI through the lens of the Universal Design for Learning (UDL) framework. The morning session will explore how AI can be utilized to remove barriers to learning by supporting UDL principles. Participants will dive into how AI tools can create more inclusive learning environments by supporting faculty to offer multiple means of representation, engagement, and expression. This session will address specific scenarios where AI can enhance accessibility, tailor learning experiences to individual needs, and reduce cognitive load for diverse learners.
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Afternoon Session (PM): Integration into Practice and AI-Enhanced Assessment
- Day 3 afternoon session will have participants work on developing strategies for incorporating AI into their teaching practices, focusing on the "how" and "when" AI should be used to support students and promote inclusive learning.
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Key topics of the afternoon session will include:
Integration into Practice: Facilitators/coaches will guide discussions on practical ways AI can be embedded into everyday teaching to align with UDL principles. Participants will consider when AI should and should not be used to ensure it supports students equitably and ethically.
AI-Enhanced Assessment: Participants will have the option to develop an AI-supported assessment or a teaching strategy that aligns with UDL. They will be encouraged to create assessment models that allow students to demonstrate learning in multiple ways, reducing barriers for students with different learning styles or needs.
Throughout the day, participants will revisit key concepts from Days 1 and 2 of the AI Institute, drawing connections between foundational AI knowledge, ethical considerations, and UDL integration. Working questions similar to those used in the UDL Institute will guide discussions, helping participants critically reflect on the role of AI in creating more inclusive and flexible learning environments.
- The day will conclude with a reflective session where participants will share their insights and ideas for implementing AI-driven UDL strategies in their classrooms. This collaborative exchange will emphasize the importance of peer support and knowledge sharing as faculty integrate AI into their teaching practices to remove learning barriers and promote equitable access for all students.
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