News
AI Transforms Learning as Universities Adapt to New Technologies
Source: kansan.com
Published on December 29, 2025
Updated on December 29, 2025

The University of Kansas (KU) is at the forefront of a transformative shift in education, as generative artificial intelligence (AI) reshapes how students learn, study, and interact in the classroom. This evolution, decades in the making, has reached a pivotal moment, with AI becoming an integral part of the academic experience. As universities like KU navigate this new landscape, the focus is not just on adapting to AI but on leveraging it to enhance learning while addressing the challenges it presents.
The Role of AI in Modern Classrooms
For many students at KU, AI has evolved from a novelty to a practical tool. Max Biundo, a senior studying computer science, describes AI as "almost like a calculator for code," with professors increasingly allowing its use in assignments, provided students document their processes. This shift reflects a broader trend in higher education, where AI is no longer seen as a shortcut but as a companion that can augment learning when used responsibly.
Lindsey True, a master’s student in business analytics, highlights how AI has improved her coursework by helping her solve coding errors and learn more efficient task management practices. "AI has helped me in my coursework by aiding in my learning comprehension and helping me to efficiently and quickly problem-solve certain tasks," she notes. Professors are also integrating AI into their teaching methods, with Rory Brennan, a senior in political science, sharing how her professor uses ChatGPT to create graphs for discussions and demonstrate ideas.
Challenges and Opportunities in AI Integration
While AI offers significant benefits, its integration into education is not without challenges. Dr. James Basham, director of the Center for Innovation, Design, and Digital Learning at KU, emphasizes the high stakes for universities in navigating this transition. A survey by the American Association of Colleges & Universities (AAC&U) and Elon University’s Imagining the Digital Future Center reveals that 89% of university leaders believe at least half of their students use generative AI tools, but only 62% estimate that fewer than half of their faculty do.
This disparity underscores the need for universities to provide clear guidelines and support for educators. KU researchers have published frameworks to help educators responsibly implement AI in their classrooms, but the process is complex. Dr. Doug Ward, associate director at KU’s Center for Teaching Excellence, warns that many classrooms are still trying to block or ignore AI rather than embracing it as a tool for learning. He argues that universities must rethink their approach to grading and assessment to focus more on competency and less on credentials.
Some students have expressed concerns about the overreliance on AI. AJ Fire, a sophomore in education, recounts a special education class taught by an AI researcher that prioritized AI over accurate instruction about disabilities. Nash Trumbly, a junior in political science, worries that AI could hinder students’ ability to think critically if they rely too heavily on it to summarize readings rather than engaging with the material themselves.
The Human Element in AI-Driven Education
As AI continues to advance, Dr. Basham believes the next chapter in AI-driven education will revolve around human connection and support. While AI can handle many tasks, the responsibility to create meaningful learning environments remains with educators. "I’m hoping one of the lessons learned in these early stages of AI is that being human is probably the most important thing that our education systems have to focus on," he says.
The balance between leveraging AI’s capabilities and preserving the human aspects of education is critical. As KU and other institutions adapt to this new reality, the focus must be on ensuring that AI complements rather than replaces the core values of education. By prioritizing human interaction and critical thinking, universities can harness AI’s potential while addressing its challenges.