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

Recognizes that professors, as educators and experts in their fields, have the choice to use, or not use, GenAI. Ideally, a strong rationale is offered in either case which is evidence-informed and/or research-based and aligns with the curriculum.

Pedagogy Drives Technology (GenAI) Use

Believes that pedagogy drives technology use, not the other way around.  
Technology disruption within higher education, such as GenAI, provides an opportunity to design learning activities that are authentic and support deep learning. Decisions for integrating GenAI for learning are best informed by intentional pedagogy rather technology use for its own sake.   
 

Context Influences Use of GenAI

Acknowledges and respects that contextual and situational factors influence if and how GenAI is used for teaching and learning. Impacts and adoption of GenAI will vary according to discipline and industry. Accordingly, when and how programs and professors approach the use of GenAI tools in their specific courses will differ.  

Intentional, Meaningful Integration of GenAI

Supports the meaningful integration of GenAI. When used, GenAI will intentionally support learning outcomes and prepare students for their future workplace.Adoption by faculty and students will also be in accordance with Algonquin policies related to Academic Integrity (AA48) and its Generative AI Guidelines for Institutional Use. 

Staying Current with GenAI Critical For Student Success

Understands that staying current with discipline, industry, and educational standards of GenAI use is critical for student success. To equip learners with the skills competencies needed in a rapidly changing digital society, educators will continuously learn about GenAI use in their fields and may apply GenAI practices within their own work. 
 

Supporting Development of Digital Fluency Skills

Commits to supporting students and faculty to develop digital fluency skills including the ethical and responsible use of GenAI. Reviewing GenAI generated content to identify possible bias and fact-check accuracy is vitally important. Ultimately, we are all responsible for being accurate and transparent with what we create, share, and call our own work. 

Exploration of GenAI Part of Teaching Practice

Believes that developing one’s own teaching practice involves open exploration and experimentation with technology, and with GenAI, where applicable. By modelling a critically reflective stance and a transparent approach to continuous learning as an educator, others may embrace and emulate these approaches through their engagement with tools including GenAI.  
 

Privacy and Personal Safety is Paramount

Maintains that privacy and personal safety for both educator and learner is paramount when using GenAI tools. This applies to both informal and formal learning contexts connected to curriculum, teaching, and learning activities at Algonquin College. Educators will adopt GenAI tools and college-recommended practices, such as those outlined in the Generative AI Guidelines for Institutional Use, that safeguard individual identities and personal data. 

 


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:

  1. 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.
  2. 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.

Program and Course Preparation

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Teaching with GenAI

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Supporting Academic Integrity

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GenAI Tools and Data Protection

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