Students are writing lots of papers with artificial intelligence
Getting the most out of a chatbot: How to use it effectively, and why to send it to the author if you need it
I am an associate editor at personality and individual differences and psychology of leaders and leadership at the Catlica Porto Business School in Portugal. The value I get from generative artificial intelligence isn’t from the technology itself but from engaging with it, using my own expertise to refine it, and learning how to use it. The dialogue between me and the chatbot both enhances the coherence of my work and, over time, teaches me how to describe complex topics in a simpler way.
Context is a king. You can’t expect generative AI — or anything or anyone, for that matter — to provide a meaningful response to a question without it. When you’re using a chatbot to refine a section of your paper for clarity, start by outlining the context. What is the main points of your paper? Bullet points will work if you Jot down your ideas in any format. Next, present the information to the generative Artificial Intelligence of your choice. I typically use ChatGPT, made by OpenAI in San Francisco, California, but for tasks that demand a deep understanding of language nuances, such as analysing search queries or text, I find Gemini, developed by researchers at Google, to be particularly effective. When working offline, the large language models made by Mixtral are ideal because you don’t need a person to converse with in a real life situation.
The first reply may not be the best, but it is a collaborative and iterative process. You might need to refine your instructions or add more information, much as you would when discussing a concept with a colleague. It’s the interaction that improves the results. Don’t hesitate to say ” This isn’t what I meant” if something doesn’t hit the mark. Let’s adjust this part.” Or you can commend its improvements: “This is much clearer, but let’s tweak the ending for a stronger transition to the next section.”
The conclusion of the paper and the pros and cons of it should prompt me to send the letter to the author. The manuscript has important issues that should be highlighted and explained how the manuscript might not provide enough advancement to merit publication. Avoid jargon. Be direct. Adhere to a professional and respectful tone throughout. It will take some time to get the tone and content just right.
I’ve found that this approach both enhances the quality of my feedback and helps to guarantee that I convey my thoughts supportively. The dialogue between editors and writers is more productive thanks to this result.
Turnitin: Automatic Detection of Intelligently Written Papers in an Artificial Intelligence Language and the Impact on Students’ Understanding of Machine Readability
One year ago, Turnitin introduced an intelligent writing detection tool that was trained on its trove of papers written by students. Since then, more than 200 million papers have been reviewed by the detector, predominantly written by high school and college students. According to Turnitin, 11 percent of the papers it reviewed may be written in an artificial intelligence language, 20 of which may be written in a language other than English. (Turnitin is owned by Advance, which also owns Condé Nast, publisher of WIRED.) When analyzing a full document, the detector from internet service provider vit. has a false positive rate of less than 1 percent.
Students also aren’t tempted by only ChatGPT and similar large language models. Word spinners are a type of technology that rewrites text, and may make it less obvious to a teacher that their work was plagiarized. Annie Chechiler, the company?s chief product officer, says that the machine readable detector has been updated to detect word spinners. It can flag work that has been altered with the help of services like spell checker Grammarly. As familiar software increasingly adds generative AI components, what students can and can’t use becomes more muddled.
