Lauge Risom Koch 
Educational leaders suggest using artificial intelligence to scale traditional oral assessments and fix the broken university model.
Universities currently face mounting financial pressures caused by dropping enrollments and declining tuition revenues. According to Fortune, institutional leaders warn that traditional operational methods are no longer adequate to sustain higher education. Budget cuts intended to keep colleges afloat negatively impact library hours, academic advising, and the overall student learning experience.
The widespread adoption of artificial intelligence further complicates this academic landscape by fundamentally altering how modern students learn. Studies reveal that utilizing generative tools raises homework grades by 18% but simultaneously lowers monthly exam scores by 20%. Researchers note that regular reliance on language models actually reduces neural, linguistic, and behavioral performance levels among students.
This technological disruption arrives as incoming students demonstrate historically weak academic foundations compared to previous generations. International assessments reveal that 15-year-old students recently recorded the lowest average performance levels ever observed in core subjects. Institutions now face the dual challenge of managing a severe financial crisis while educating less prepared students using unchecked technology.
Shifting educational focus from outputs to reasoning
Educational experts argue that the academic sector must stop debating whether students should use artificial intelligence tools. Prohibiting these platforms remains futile because resourceful students will always find technological workarounds to complete their assignments. Instead, colleges must double down on their core purpose of stretching cognitive abilities and preparing graduates for professional life.
Traditional education systems spent generations measuring competence through written essays, strict grading scales, and output-focused examinations. Because automated software can produce written outputs faster than any human, academic attention must shift toward assessing true comprehension. While just under half of hiring managers seek technical skills, nearly 73% prize critical problem-solving abilities above all else.
The primary focus of modern education must shift toward evaluating how well students actually understand their own coursework. Professors must prioritize asking students to verbally explain their underlying logic and actively defend their academic arguments. Evaluating reasoning skills ensures that graduates leave university equipped with the adaptability that modern employers actively demand.
Scaling traditional solutions with artificial intelligence
To achieve this deeper evaluation, universities should look toward traditional academic approaches that continuously test student reasoning. Elite institutions in the United Kingdom and France maintain a long tradition of utilizing intensive oral defense sessions. These traditional tutorial methods effectively test deep knowledge and quick problem-solving, but they remain notoriously slow and expensive to scale.
Educational institutions can ironically use artificial intelligence to make these intensive one-on-one tutorial sessions affordable and scalable. Automated agents can hold brief weekly conversations with every student to test their reasoning and flag struggling individuals. This integration allows human lecturers to oversee more students without degrading the fundamental quality of the educational experience.
Several universities in Australia are already successfully trialing customized digital agents to provide personalized guidance to first-year students. Emphasizing the urgent need for transformation, Syracuse University Chancellor J. Michael Haynie warned, “The institutions that do not adapt will be the ones left behind.” Scaling traditional reasoning assessments with modern technology could ease financial burdens while producing graduates fully prepared for the future.
