As someone who’s created many online quizzes I’ve noticed how AI is making them less effective. It’s not just about taking screenshots of questions for ChatGPT anymore. You can now make programs that log into learning platforms and finish whole quizzes automatically.
I made a tool to test which of my assessments are easiest for AI to solve. It’s pretty cool to see it in action. When I tried it on some science questions from a well-known university it got them all right. The whole process only took about 90 seconds from start to finish including logging in answering and seeing the results.
While students might use this to cheat I think it’s more valuable for teachers. We can use it to make our quizzes harder for AI to crack. It’s a wake-up call to rethink how we test knowledge in the age of artificial intelligence.
Your tool sounds innovative and timely. As an educator, I’ve been grappling with the AI challenge in assessments. Have you explored incorporating more open-ended questions or real-world problem-solving scenarios? These tend to be more resistant to AI manipulation. Additionally, timed assessments with randomized question banks could help mitigate automated responses. It’s crucial we adapt our methods to ensure genuine learning outcomes. Perhaps collaborating with learning platform developers to implement AI-detection features would be beneficial. This is certainly a complex issue that requires ongoing attention from the education community.
thats really interesting! as a teacher myself, i’ve been worried about AI and cheating. your tool sounds super helpful for improving our assessments. have u considered sharing it with other educators? it could be a game-changer for adapting our teaching methods. maybe we need to focus more on application and critical thinking instead of just facts
As an IT specialist in education, I’ve seen firsthand how AI is reshaping assessment strategies. Your tool is a brilliant approach to staying ahead of the curve. We’ve been experimenting with similar concepts at our institution, focusing on creating ‘AI-resistant’ quizzes.
One technique that’s worked well is incorporating more context-dependent questions. For example, instead of asking ‘What year did X event occur?’, we ask ‘How did X event influence Y societal change?’. This requires a deeper understanding that current AI struggles with.
We’ve also had success with audio or video-based questions, where students need to analyze spoken content or visual cues. These formats are trickier for AI to process accurately.
Your tool could be invaluable for benchmarking these new question types. Have you considered expanding it to analyze different question formats beyond traditional text-based ones?