Resilient Peacebuilding in Conflict-Affected Educational Institutions: A Deep Learning Approach

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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2026
Pages: 24
Source title: Understanding Women's Avoidance of Leadership in Higher Education
Source Author(s)/Editor(s): Heidi L. Schnackenberg (State University of New York at Plattsburgh, USA)
DOI: 10.4018/979-8-3373-0260-7.ch004

Keywords: Education / Educational Administration and Leadership / Higher Education / Information Science Reference

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Abstract

This research assesses resilient peacebuilding in education in schools experiencing armed conflict based on a mixed-methods study. Field data for teachers were collected using focus group interviews and in-depth interviews and measured the effects of armed conflict on schooling. Preprocessing of the data was conducted through standardization and principal component analysis (PCA) for feature reduction. Stacked artificial neural network (ANN) was applied to screen resilience factors and identified most critical determinants like psychological support, active engagement of society, and institutional recovery processes. The study findings provide evidence-based facts regarding sustainable peacebuilding projects and offer meaningful recommendations to policymakers and educators who work in conflict zones.

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Resilient Peacebuilding in Conflict-Affected Educational Institutions: A Deep Learning Approach

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