AI in Education: Lessons from Allowing Students to Use Generative AI for Essays

The emergence of powerful AI tools like ChatGPT has presented educators with unprecedented challenges and opportunities. Dr. Edmond, with his background in algorithms and AI's role in creative works, recognized that ignoring AI was not an option. He understood that as an educator, his responsibility was to equip students with the skills to understand and interact with the AI landscape surrounding them. For his second-year game development unit, where students typically write an essay on an ethical issue impacting the games industry, Generative AI became a natural and timely topic. Tools like Co-Pilot for coding, Ghost Writer for dialogue, and image generators were already making waves, raising questions about copyright and artistic rights. The concern that students, particularly those who might struggle with writing, would resort to AI for assignments was a valid one. Furthermore, the subtle nature of AI-generated text made detection difficult, leading to a reluctance to falsely accuse students. Inspired by a colleague's suggestion, Dr. Edmond decided to trial an 'acknowledgement form' to allow students to self-report their use of AI, creating a transparent and collaborative approach to this new academic terrain.

The experiment revealed that student engagement with AI was far from monolithic. Out of 80 students, only 13 reported using AI in their work, with many others proudly declaring their submissions to be 100% human-authored, especially when AI was the essay topic. Classroom discussions unveiled a nuanced understanding: some students found AI unsuitable for certain tasks but recognized its potential elsewhere. One student questioned the utility of AI when they could write it themselves. This challenged the prevailing narrative that all students would blindly adopt AI, suggesting that the fundamental human drive to learn and create remains strong and is not easily supplanted by technology. The fear that written assessments are obsolete was thus tempered by the reality of student agency and intrinsic motivation.

Dr. Edmond acknowledged that not all students may have reported their AI usage, but he remained unconcerned. He drew a parallel to traditional forms of academic dishonesty, noting that robust systems like the Academic Integrity team are in place to handle such cases. His primary objective was to cultivate an environment where students felt comfortable exploring emerging technologies openly. By asking students to respect the assessment processes, he aimed to foster a collaborative spirit. The positive outcome of this approach was that students were willing to meet educators halfway, demonstrating a readiness to engage honestly when given the space to do so. This mutual trust proved more effective than a purely punitive stance.

Dr. Cameron Edmond's experiment with Generative AI in his game development unit offers a compelling model for educators navigating the complexities of AI in academia. By shifting from prohibition to guided exploration, he demonstrated that AI can be a powerful tool for learning, critical thinking, and student engagement. The key lessons learned—the importance of scaffolding, understanding student perspectives, leveraging AI as a learning aid, fostering transparency, and encouraging experimentation—provide a roadmap for integrating AI responsibly. As AI continues to evolve, educators must embrace these opportunities to prepare students not just for the present, but for a future where AI literacy is paramount. The journey is ongoing, but by fostering curiosity and critical engagement, universities can empower students to harness the potential of AI ethically and effectively.