Despite the negative impact that generative AI can have on academic integrity, it can be leveraged by instructors as a powerful tool to enhance teaching and learning. By implementing proper guidelines, educators can harness the capabilities of generative AI to promote creativity, streamline lesson planning, and provide personalized learning experiences for students.

With careful integration into andragogical practices, generative AI can support instructors in developing engaging content, fostering critical thinking skills, and adapting teaching strategies that meet the diverse needs of learners.

As technology continues to advance, it is imperative for educators to embrace innovative tools all the while balancing the benefits of AI with a commitment to upholding academic integrity. 

The PAIR (Problem, AI, Interaction, Reflection) framework (Acar, 2023) was developed to help educators integrate AI into course content. The key tenets of the framework are:

• Human-centric: AI is a tool to augment, not replace, human insight, judgment and creativity.
• Skill-centric: Focused on the development of transferable skills over mastery of specific tools.
• Responsibility-centric: Promoting effective and responsible use of genAI

Consider using the PAIR framework when planning your lessons. Click HERE to be directed to the King’s College London webpage for additional information about The PAIR Framework. 

AI Assignment Library (multidisciplinary)

AI in Teaching and Learning (multidisciplinary)

Discipline-specific Generative AI Teaching and Learning Resources

AI Prompts for Teaching (writing focus)

Bloom’s Taxonomy has served as an important tool for instructional design since its creation in 1956 by Benjamin Bloom and his colleagues. Educators continue to use a revised version of the framework (Anderson & Krathwohl, 2001) to generate learning outcomes that encourage higher-order thinking by building on lower-level student cognitive skills. The focus is not only on acquiring subject matter but also the desired depth of understanding. By aligning assessments with these levels of understanding, instructors support deep learning. The emergence of generative AI has prompted yet another revision of Bloom’s Taxonomy; one that incorporates AI capabilities but maintains human input and decision-making. The following image serves as a guide for an assessment redesign that embraces this new technology but continues to foster meaningful learning experiences. 

Acar, Oguz A. (2023). “Are Your Students Ready for AI? A 4-Step Framework to Prepare Learners for a ChatGPT World”, Harvard Business Publishing Education. https://hbsp.harvard.edu/inspiring-minds/are-your-students-ready-for-ai?

University of North Dakota Scholarly Commons. (n.d.). AI assignment library. Retrieved August 8, 2024 from https://commons.und.edu/ai-assignment-library/

Alby, C. (n.d.). AI prompts for teaching. Retrieved August 8, 2024, from https://docs.google.com/document/d/1Lo4aeiWT4f5xhcsAbWAfQRITghBhcmFN2m-JEX5OkJA/edit

Anderson, L. W., Krathwohl, D. R., & Bloom, B. S. (2001). A taxonomy for learning, teaching, and assessing : A revision of Bloom’s taxonomy of educational objectives. Longman.

Campbell, A. (2023, February 6). AI terms + education: A glossary of what you need to know. Turnitin. https://www.turnitin.com/blog/ai-terms-education-a-glossary-of-what-you-need-to-know

Miller, M. (2022, December 17). ChatGPT, chatbots and artificial intelligence in education. Ditch That Textbook. https://ditchthattextbook.com/ai/

Miller, M. (2023, November 13). 40 AI tools for the classroom. Ditch That Textbook. https://ditchthattextbook.com/ai-tools/

Oregon State University. (n.d.). Artificial intelligence tools. Faculty Support. Retrieved June 4, 2024 from https://ecampus.oregonstate.edu/faculty/artificial-intelligence-tools/meaningful-learning/

The University of British Columbia. (n.d.). Assignment and assessment design using generative AI. A.I. in Teaching and Learning. Retrieved August 8, 2024, from https://ai.ctlt.ubc.ca/assignment-and-assessment-design-using-generative-ai/