Educators Tackle AI Challenges in Classrooms

The emergence of AI in education has brought with it a new set of challenges for teachers, who are now grappling with how to address potential academic misconduct facilitated by AI tools.

Gary Ward, teaching physics, economics, and business at Brookes Westshore High School in Victoria, British Columbia, observes that student engagement with AI tools, particularly since the advent of ChatGPT in 2022, has heightened markedly this year. Ward now uses AI strategically, inviting ChatGPT to assist in formulating tasks that resist easy solutions by AI.

Ward explains, "I initiated a dialogue with ChatGPT, detailing my needs, and it guided me on crafting more personalized assignments that LLMs find harder to generate instant responses for."

University Innovations in AI Resistance

Richard Griffin from Manchester Metropolitan University shares a similar approach, utilizing an internal system to evaluate assignment vulnerability to AI manipulation and suggest enhancements for resilience.

"Our IT department developed a tool that rates the AI susceptibility of assignments, indicating necessary adjustments," Griffin comments. Though not detailed, the feedback prompts educators to introduce personalized challenges.

Reverting to Traditional Methods

Ward advocates for pen-and-paper assignments, believing it exposes genuine student effort and writing style, thus setting a baseline for future work comparison. "While grading these manually is time-intensive, it provides crucial insight," he asserts.

Paul Shockley, philosophy and religious studies assistant professor at Stephen F. Austin State University, remarks that substituting learning processes with AI use erodes crucial skills like critical thinking and originality.

Initially an AI proponent, Shockley explored dialogue assignments using LLMs to encourage incisive questioning and AI skepticism among students. However, widespread misuse led him to restrict AI to mature students undertaking research.

Incorporating Experiential Learning

Assigning projects with real-world engagement, such as visits to nature or religious sites, Shockley aims to connect students personally to subjects, reducing AI reliance and fostering reflection.

Griffin employs project-based learning in business courses, demanding student interaction with actual clients. This real-world complexity makes AI solution impractical, propelling students to deeper reflections.

Saying, "In-depth projects paired with client interaction demand honesty unattainable in typical assessments," Griffin highlights the importance of incorporating reflection to ensure deeper learning.

As AI technologies evolve, Griffin foresees a pivot to discussion-based and oral assessments, aiming for precise criticality and deeper thematic focus, acknowledging that broad topics might take a backseat.