Exploring the Impact of AI-Assisted Learning-Oriented Assessment on Vocabulary Acquisition Among Iranian EFL Learners

Given that technology-enhanced assessment has transformed language education by providing adaptive and interactive evaluation methods, the current study examined the effect of AI-assisted learning-oriented assessment (LOA) on Iranian EFL learners' vocabulary learning. A quasi-experimental design was employed where 40 male intermediate-level learners were non-randomly distributed into experimental (AI-supported Nearpod platform) and control groups. The homogeneous treatment groups were verified using the Oxford Placement Test, and the Vocabulary Knowledge Scale assessed vocabulary development before and after intervention. Statistically significant differentiations were estimated from analyses of data using an independent samples t-test in SPSS 27, indicating that the control group does not show such significant improvement in post-VKS scores compared with the experimental group. The results reveal that AI-assisted LOA with adapted feedback and scaffolding benefited vocabulary learning. The findings highlighted that the incorporation of AI tools in EFL curricula can be optimized for engagement and personalized learning; nevertheless, effective implementation of AI tools has technical and pedagogical challenges.