Dataset for ESP Teachers' Survey on Online Debriefing and AI Integration in Ukrainian Universities (2024–2025)

This dataset contains qualitative and quantitative data collected during a study on the integration of online debriefing and artificial intelligence (AI) in English for Specific Purposes (ESP) courses in Ukrainian higher education. The dataset documents ESP teachers’ attitudes, experiences, perceived benefits, and challenges related to debriefing practices, including AI-assisted feedback and reflection. Data were collected from 34 ESP teachers representing three Ukrainian universities during 2024–2025. The dataset includes: (S1) the full questionnaire with anonymized responses exported from Google Forms (PDF); (S2) an Excel file with Likert-scale data processed for descriptive analysis; (S3) screenshots of aggregated questionnaire results generated by Google Forms; (S4) anonymized open-ended responses used for qualitative analysis; and (S5) a structured codebook with themes, codes, and illustrative citations developed through thematic analysis. Quantitative data were analyzed using descriptive statistics, while qualitative interview and open-ended responses were analyzed following Braun and Clarke’s six-step thematic analysis framework. The dataset supports transparency, replication, and secondary analysis in research on ESP pedagogy, reflective teaching practices, online debriefing, and responsible AI use in higher education. All data were collected with informed consent and anonymized prior to sharing.