When it comes to exams in the era of AI, Armando Fox (University of California, Berkeley) and Craig Zilles (University of Illinois at Urbana-Champaign) argue that computer-based testing is often a superior option to paper exams. The authors explain that computer-based testing offers more flexibility in question format and opens up the possibility of creating unique versions of exams for each student. This, they explain, nullifies the benefit of overhearing “what’s on the exam” and introduces more flexibility and efficiency for exam scheduling. Automated grading—with or without AI—of computer-based tests can also save time for instructors by letting a computer handle grading the simple portions of a test. They conclude by asserting that computer-based testing can leverage technology to the benefit of students and faculty alike.
