Coded Interaction and Profiling Data from “Generative AI as a Cognitive Scaffold in Disrupted Educational Environments”

This dataset supports the qualitative and psycholinguistic analysis presented in the article Generative AI as a Cognitive Scaffold in Disrupted Educational Environments: A Ukrainian Case Study. It contains anonymized data derived from learner–AI interaction logs, thematic interview transcripts, and self-reported reflections of Ukrainian students navigating education during wartime conditions. The dataset includes four structured tables: (1) coded emotional-affective markers, (2) cognitive and narrative scaffolding indicators, (3) social identification and trust attributions toward generative AI, and (4) integrated behavioral profiles synthesizing linguistic and experiential data. All materials were coded using frameworks from psycholinguistics, discourse analysis, and sociocultural learning theory. Data are intended to support replication, secondary analysis, and educational technology development in crisis-affected environments. A complete codebook and README file are provided to facilitate transparency, reusability, and ethical reuse.