This expanded article provides an in-depth theoretical and methodological analysis of innovative assessment technologies in modern language education. It investigates how advances in artificial intelligence, psychometrics, multimodal learning theory, cognitive linguistics, and learning analytics reshape traditional paradigms of language assessment. By synthesizing current research, the paper critically examines the epistemological, methodological, and pedagogical implications of AI-based scoring, adaptive testing, digital portfolios, multimodal evaluation environments, and predictive analytics. The article argues that these innovations represent not only technological improvements but also a fundamental shift toward evidence-centered, learner-driven and research-oriented assessment frameworks.
| Mualliflar | ABDULLAYEVA, Feruza Suyunovna |
|---|---|
| Jurnal | Lingvospektr |
| Nashr sanasi | 2025-12-27 |
| Jild | 12 |
| Son | 2 |
| Betlar | 501-503 |
| Til | Ingliz |
innovative assessment, AI-based scoring, adaptive testing, learning analytics, digital portfolios, multimodality, psychometrics, cognitive linguistics
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