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Teaching & Learning with GAI

Note: This is a living document. Humber will continue to adapt this resource as new topics and issues arise due to the rapidly changing landscape of Generative Artificial Intelligence (GAI).

Generative AI in the Classroom

Higher education has faced similar disruptions with previous technology innovations, including calculators, Google search, and Wikipedia. While these innovations can be disruptive to our practices of teaching and assessment, incorporating them into our teaching practice is also an opportunity to prepare our learners to live and thrive in a changing world. When intentionally leveraged for classroom instruction, generative AI technologies may also provide new possibilities for enhancing accessibility and engagement for students with varied learning needs.

Integrating GAI into Your Courses

When integrating GAI into your courses, there are several opportunities to foster an inclusive learning environment:

  • Encourage AI literacy and future readiness. As generative AI tools develop in capabilities, they will continue to shape what distinctive human skills are prioritized across disciplines and fields of work. By incorporating opportunities within courses to explore, use, and assess generative AI tools, students are better prepared to strategically engage with and critically reflect on these emerging technologies.
  • Encourage metacognition, creativity, and critical thinking. By designing carefully constructed assessments and forms of active engagement, students have the opportunity to explore different viewpoints, self-reflect, and engage in analysis and knowledge synthesis.
  • Address barriers to equity and accessibility. Generative AI tools can be leveraged to provide multiple options for motivating and engaging learners, for representing information, and for inviting learners to express and communicate. This can create learning experiences that are personalized to students’ diverse needs and abilities.

Considerations for Integration GAI into Your Courses

When integrating GAI into your courses, there are several considerations to ensure equitable and responsible use, including:

  • Accuracy and bias. Text created by generative AI technology may be biased and may not be correct.
  • Privacy and security. A version of Microsoft Copilot is currently available to the public (and the Humber Community). The public version does not have full privacy and data protections in place. Humber has access to the enterprise edition of Microsoft Copilot, which conforms to Humber’s privacy and data protections, unlike the public version. Note that other publicly available generative AI chatbots like ChatGPT may not offer such privacy and data protections. Humber has access to the enterprise edition of Microsoft Copilot, which conforms to Humber’s privacy and data protections, unlike the public version. Note that other publicly available generative AI chatbots like ChatGPT may not offer such privacy and data protections. Refer to this checklist on using publicly available tools.
  • Copyright and intellectual property. It is important to be mindful of what content is entered into generative AI platforms that do not have institutional data protections in place. Never input confidential information or intellectual property for which you do not have the rights or permissions. All content entered may become part of the tool’s dataset and may inadvertently resurface in response to other prompts.

This work is has been adapted from the University of Toronto for the Humber context and is licensed under a Creative Commons BY-NC-SA 4.0 International License.

The resources below will help guide you in this new era of teaching with AI. Explore key considerations and strategies to enhance your teaching practice and support effective student learning.

Guiding Resources

The intention of these guiding resources is to offer a starting point for instructors to consider the potential uses of generative AI in teaching and learning prior to the start of teaching courses at Humber Polytechnic. More importantly they provide an opportunity to think about and reflect on how we teach. The resources below will help guide you in this new era of teaching with AI. Explore key considerations and strategies to enhance your teaching practice and support effective student learning.

Considerations for Teaching

  • UniversaL Design for Learning (UDL)
  • Learning Outcomes Development
  • Foster Higher Order Thinking
  • Assessment and Assignment Design
READ MORE

Academic Integrity Resources

  • Setting Expectations for GAI Use in Your Courses
  • Sample Language for Critical Path and Assignments
READ MORE

Resources for the Classroom

  • Template Downloads
  • Learning Modules to integrate with your courses
  • Academic Integrity & Citation Literacy Module
  • AI, Algorithms and You Module
READ MORE

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