L2 Dynamic Assessment: Analysis of AI-Integrated Research Framework

Xue Geng

doi:10.47297/wspiedWSP2516-250028.20261008

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L2 Dynamic Assessment: Analysis of AI-Integrated Research Framework

Volume 10, Issue 8

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L2 Dynamic Assessment: Analysis of AI-Integrated Research Framework
L2 Dynamic Assessment: Analysis of AI-Integrated Research Framework
School of Foreign Studies, Xi'an University of Posts and Telecommunication, Xi'an, Shaanxi, 710121, China
Vol. 10, Issue 8, Pages: 136-139(2026)
Published：30 August 2026
DOI：10.47297/wspiedWSP2516-250028.20261008
Accepted：

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Xue Geng.L2 Dynamic Assessment: Analysis of AI-Integrated Research Framework[J].Journal of International Education and Development,2026,10(08):136-139.
DOI：

Xue Geng.L2 Dynamic Assessment: Analysis of AI-Integrated Research Framework[J].Journal of International Education and Development,2026,10(08):136-139. DOI： 10.47297/wspiedWSP2516-250028.20261008.

摘要

Abstract

This study offers a necessary AI-integrated Dynamic Assessment (DA) that aims at tackling the present methodological limitations of the current research on DA

such as the constrain of scalability

the loss of the dialogic mediation in an computerized system and insufficient diagnosis of the sub-skill deficits. This study focuses on the current integration of AI in DA

concerning the disconnection between the way technology is used and the sociocultural foundations of DA. The proposal of an AI-integrated DA is based on 4 components: the ZPD-informed Mediation Engine (ZAME)

the Metacognitive Dialogue Interface (DMI)

the Predictive Diagnostic Analysis Module (PDAM) and the Theory-to-Practice Translation System (TPTS). This study is grounded in the concept of ZPD

the MLE

and the formative assessment theory. This framework reduces the theory-technology gap in L2 dynamic assessment.

关键词

Keywords

references

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