As artificial intelligence becomes increasingly integrated into education, the conversation in higher education has largely centered on concerns about plagiarism and cheating. However, educators from Georgia Tech and American University caution that this focus misses the broader issue of what students are actually learning.

Amy Bruckman, a Regents’ Professor and Senior Associate Chair in the School of Interactive Computing at Georgia Institute of Technology, told Fox News Digital, "I don't think cheating is the right concept to use here." She expressed concern that instead of leveraging AI to enhance their education, some students are "avoiding learning" by relying on the technology. Bruckman also emphasized the need to redesign assessments to be resistant to AI, stating, "To say, 'I don't care whether you used AI or not, I'm going to give you a test that shows whether you learned the content that was part of the learning objectives.'"

Grace Alexis noted that many faculty initially viewed AI primarily through the lens of potential cheating and plagiarism but have since realized the necessity of rethinking how to incorporate this revolutionary technology into the classroom.

Despite concerns about generative AI, Bruckman said she has no interest in policing AI use, recognizing that students will need to use AI tools in their future careers. David Marchick, Dean of the Kogod School of Business at American University, highlighted the growing importance of AI literacy, noting that employer demand for AI skills has increased 3.5 times in the past three years.

Educators warn that the public discourse is missing the point, focusing too much on cheating rather than on ensuring meaningful student learning in the AI era.

Sources