Thinking Twice: The Drawbacks of AI Usage for Students

• In Event: Roundtable: AI in Education

Abstract

The last few years have seen the rapid proliferation of Artificial Intelligence tools and the increasing capacity of models. The power of AI and ubiquity of it for personal use was unimaginable just a few years ago. As universities and professors grapple with how to manage the increasing use of AI among students, some PhDs have made a business of reviewing, recommending, and even teaching both undergrad and graduate students how to use AI research and writing tools. Some of these are incredibly helpful, without crossing the line into questions of academic integrity. Certain research and citation tools can improve the rigor of research and writing. However, I argue that there are also substantial downsides for students themselves in frequently using many popular AI tools. One unanticipated drawback being that it can increase, rather than save, time spent on homework. It has the potential to undermine students’ long-term success beyond the risk of plagiarism. Themes from a literature review on AI usage in academia, as well as suggestions for how students might better navigate the use of technology, are discussed. Faculty and grad student experiences and perspectives are encouraged.

Author

• Ashley Balavender, Rutgers University