The AI coding tutor paradox grows as educators scramble to rethink how they test real skills

A survey of 763 computer science educators reveals that 68 percent have altered their assessment methods to mitigate the impact of AI tools on student work. Many instructors are shifting focus from code generation to comprehension, increasingly relying on oral exams and proctored environments. This trend reflects a broader attempt by academic institutions to ensure that graduates retain fundamental programming skills despite the availability of automated coding assistance.