Keywords
adaptive feedback
blended learning
academic writing
multimodal corpus
corpus linguistics
AFAI index
research design.
How to Cite
Abstract
This paper puts forward a conceptual model for designing AI-based feedback systems capable of adapting to individual learners' needs. Two core ideas are advanced: a multimodal corpus architecture that brings together text, audio, video, and colour-coded annotation, and an Adaptive Feedback Alignment Index (AFAI) that measures how well feedback matches a given learner. A quasi-experimental research design and a set of measurement tools have been developed to test the model, and a worked example is provided to illustrate how the index would operate in practice. The paper closes with a set of hypotheses for testing at a later stage.References
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