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Introduction:

Data-driven decision making in education is a crucial practice that involves using data to inform and guide educational policy and practice. By collecting and analyzing data on student performance, classroom outcomes, and school processes, educators can make informed decisions that lead to improved student learning and outcomes. This approach allows educators to identify trends, patterns, and areas for improvement, ultimately leading to more effective teaching and learning experiences.

Table of Contents:

Chapter One: Introduction
– Background of the Study
– Statement of the Problem
– Significance of the Study
– Objectives of the Study
– Research Questions
– Hypotheses
– Scope of the Study
– Limitations of the Study
– Definition of Key Terms

Chapter Two: Literature Review
– Overview of data-driven decision making in education
– The importance of data in education
– Benefits and challenges of data-driven decision making
– Existing research on data-driven decision making in education

Chapter Three: Research Methodology
– Research approach and design
– Data collection methods
– Data analysis techniques
– Sampling and participants

Chapter Four: Discussion of Findings
– Analysis and interpretation of data
– Discussion of key findings
– Implications for practice and policy

Chapter Five: Summary of Findings, Contributions to Knowledge, Recommendations for Future Research, Reflections on the Research Process, and Conclusion

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