Data-Driven Decision-Making for Inclusive Institutional Policies

Policy, Accreditation, and Global Frameworks for Inclusive Higher Education 2026 Book chapter

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Authors: Fahad A. Salendab, Victorino M. Laviste, Peping A. Badal, Joycelle C. Lumogdang
DOI: 10.4018/979-8-3373-6132-1.ch005
Cited by: 1
References: 44

Abstract

Data-driven decision-making enables higher education institutions to craft and implement policies that advance inclusion and equity. By analyzing enrollment patterns, student performance data, campus climate surveys, and accessibility assessments, institutions can uncover disparities and develop targeted interventions. The approach aligns with accreditation standards and global inclusion frameworks, ensuring both compliance and innovation. Case studies illustrate how evidence-based strategies translate into measurable institutional change. Ethical dimensions—such as data privacy, cultural sensitivity, and fair interpretation—are emphasized to protect marginalized voices. Practical recommendations are offered for using data as a strategic tool to promote diversity, equity, and belonging in higher education.

Fields of Study & Subjects

Higher Education Research Studies Online Learning and Analytics E-Learning and COVID-19

Publication details

Journal / source
Policy, Accreditation, and Global Frameworks for Inclusive Higher Education
Publisher
IGI Global Scientific Publishing
Pages
109–134
Publication date
2 April 2026
Language
NG
Document type
Book chapter