Guidelines for Teaching with Generative AI
Introduction
With the rapid evolution of Generative AI (GenAI), our understanding of its impact on learning and teaching changes daily. The following guidelines offer a starting point for making informed choices about integrating AI into the design and facilitation of learning experiences.
These guidelines will continue to evolve as we monitor the dynamic landscape of GenAI adoption within higher education.
Part 1: Principles
Part 2: Guidelines
Part 1: Principles
At Algonquin College, we prioritize a human-centered approach to integrating Artificial Intelligence (AI) into our curriculum, teaching, and learning. We believe in adopting Generative AI technology with an intentional focus on supporting creative, critical, and ethically sound principles of practice by educators and learners alike. These principles provide context to inform the use of GenAI in our programs and courses. By embracing innovation and flexibility as a learning institution, Algonquin College:
Choice to Use/Not Use Generative AI
Pedagogy Drives Technology (GenAI) Use
Context Influences Use of GenAI
Intentional, Meaningful Integration of GenAI
Staying Current with GenAI Critical For Student Success
Supporting Development of Digital Fluency Skills
Exploration of GenAI Part of Teaching Practice
Privacy and Personal Safety is Paramount
Part 2: Guidelines
This section provides general recommendations to guide programs and professors in planning their approach for the use of GenAI in their courses. Ultimately, it is important to keep in mind that:
- Learning with and about GenAI is beneficial for students
Purposeful integration of AI into learning activities and assessments can prepare students for a work world in which AI tools are ubiquitous. Use of certain GenAI features may reduce barriers to learning and working for many students. Furthermore, understanding how GenAI tools work and what their strengths and limitations are will serve graduates well in their careers. - Identifying instances of GenAI use with tools is difficult
Existing AI detection tools are imperfect. Students can apply various techniques to avoid detection. Also, detector tools are currently unreliable and disproportionately target non-Native English speakers (Perkins et. Al, 2024).
There is an opportunity to reconsider the learning goals, focus and structure of course learning activities and assessments to reinforce critical thinking, problem solving, creativity, and reflection – all essential skills for our digital information age.
The rapidly evolving GenAI landscape does mean that impacts will unfold and change in character over time. Collaboration, discussion, and reflection on approaches taken within and across program and subject-area groups may be the best planning strategy for the continual change that is expected.