Artificial Intelligence Strategies for Academic Integrity

The purpose of theses strategies is not only to help prevent the misuse of AI, but also to promote a culture of genuine learning, critical thinking, and ethical behavior among students.

Communicate Policies

Clearly state your course policies regarding the use of AI tools and technology in assignments and exams. Students should be aware of what is considered acceptable and what constitutes cheating. There is a section for this in the LWTech Syllabus Template, but it is something you should also discuss with students directly.

Clear Assignment Design

Provide specific instructions for assignments and exams that explicitly state whether or not AI tools are allowed. If you allow AI tools for certain tasks, make sure students understand the boundaries and expectations.

Authentic Assessments

Design assessments that require critical thinking, analysis, and personal insight, making it harder for AI to provide ready-made answers. This can include presentations, demonstrations, case studies, and open-ended essays.

Update Assignments

Update assignments and questions regularly to reduce the likelihood of finding pre-written answers online. Additionally, you can create assignments that relate to current events, recent research, or personal experiences.

In-Class Assessments

Conduct assessments in controlled environments, such as in-class exams, where access to AI tools is limited or monitored.

Use Unpredictable Questions

Include questions that require creativity, personal opinions, or real-time problem-solving, which are areas where AI currently struggles.

Emphasize the Learning Process

Foster a learning environment where the emphasis is on the process of learning rather than just the end result. This can discourage students from seeking shortcuts.

Discuss Ethics

Initiate discussions about AI ethics and its impact on education. Encourage students to reflect on the implications of using AI to bypass genuine learning.

Feedback and Revision

Provide feedback on drafts before final submissions. This process promotes learning and reduces the temptation to use AI as a shortcut.