Yuwei XiaAll research

Research area

Dynamic assessment research in second language learning

Focus

Dynamic assessment, grounded in Vygotskian sociocultural theory, integrates instruction and assessment by offering learners graduated mediation and treating their responsiveness to that support as evidence of abilities still in development. Yuwei Xia's research extends this approach to AI-assisted L2 writing, to vocabulary knowledge, and to the preparation of teachers who mediate learning.

Her doctoral research at Penn State is advised by Dr. Xiaofei Lu and Dr. Matthew Poehner.

AI-assisted dynamic assessment of L2 writing

This strand asks how mediation changes when part of it is carried by an AI system. The work reconceptualizes mediation as distributed across teacher-designed prompts, AI-generated feedback, and teacher mediation, and applies that view in the design of WriteMed.

Dynamic assessment of vocabulary knowledge

Mediation in ESL teacher education

Mediate is a practice environment in which ESL teachers hold conferences with simulated English learners and rehearse a core skill of dynamic assessment: judging how much help a learner needs. Its graduated scale of five teaching moves, from waiting and open questions to examples and explicit telling, is modeled on Aljaafreh and Lantolf's regulatory scale and Poehner's typology of mediation. A coach report then describes what each turn did for the learner. See mediate.training.

Related

A systematic review of AI in second language writing education (2025)  ·  Word360, a concept-based approach to vocabulary learning