Adaptive testing—used in platforms like Duolingo English Test—is an innovative, computer-mediated assessment that adjusts question difficulty based on a learner’s previous responses. If a student answers correctly, the system presents harder items; if not, it offers easier ones. This creates a personalized testing path for each user.

This approach increases efficiency, reduces testing time, and provides more accurate estimates of ability. It also minimizes frustration by keeping tasks within an appropriate difficulty range. However, adaptive systems rely heavily on algorithms, which may introduce bias if not properly designed. They also require strong internet access and raise concerns about transparency since students cannot review the full set of questions.