Supporting Dataset for “Empathy as Resilience: Teachers’ Perspectives on Educational Recovery in Wartime Ukraine”: Annotated Interview Data, Thematic Analysis Tables, and Survey Responseshttps://doi.org/10.48788/DVUA/VDDZHZTatsenko, NataliiaMolhamova, LiliiaDataverseUA2026-06-082026-06-08T11:23:06ZThis dataset supports the article “Empathy as Resilience: Teachers’ Perspectives on Educational Recovery in Wartime Ukraine” and contains qualitative and quantitative research materials examining the role of empathy as a pedagogical resource and resilience mechanism in wartime education. The dataset was developed to document Ukrainian teachers’ perspectives on empathy, emotionally responsive teaching practices, and the challenges of sustaining educational continuity under conditions of war, displacement, instability, and prolonged psychological stress. The dataset includes anonymized semi-structured interview questions, transcripts from ten Ukrainian teachers, thematic analysis tables, individual and cross-case coding matrices, and survey data used in the study. The qualitative materials capture educators’ reflections on empathy as a professional competence, its importance for students’ emotional well-being and engagement, and attitudes toward empathy-oriented educational initiatives, including the Roots of Empathy (ROE) program. The dataset also documents perceived institutional, pedagogical, and contextual barriers to implementing structured empathy-based practices within Ukrainian schools. The scope of the dataset covers themes related to empathy in education, teacher resilience, psychosocial support, wartime educational adaptation, emotionally responsive pedagogy, and recovery-oriented educational practices. The materials are intended to support research transparency, reproducibility, and future interdisciplinary studies in education, discourse analysis, psychology, sociology, and conflict-related educational research. All personal identifiers have been removed to ensure participant confidentiality and ethical data sharing.Arts and HumanitiesSocial Sciencesempathy2026-06-08Tatsenko, Nataliia2026-05-13The dataset is primarily qualitative textual data with complementary survey (quantitative) data, suitable for machine-readable formats and secondary analysis in qualitative and mixed-methods researchCC0 1.0