Investigation into the Use of Big Data for Enhancing Secondary School Curriculum Development in Jalingo Local Government, Taraba State
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Background of the Study
Curriculum development in secondary schools is a dynamic process that must adapt to changing educational needs and industry demands. In Jalingo Local Government, Taraba State, traditional curriculum development methods often rely on periodic reviews and limited feedback from stakeholders, resulting in curricula that may not fully address current student needs or future job market trends. The advent of big data analytics offers a transformative opportunity to enhance curriculum development by leveraging large volumes of diverse data, including student performance metrics, teacher evaluations, labor market trends, and feedback from educational surveys (Nasir, 2023). Big data tools can analyze these datasets to identify emerging patterns and skill gaps, thereby informing curriculum revisions that are both evidence-based and forward-looking. The integration of big data in curriculum development allows educators to develop programs that are responsive to student learning outcomes and aligned with industry requirements. Moreover, the continuous monitoring enabled by big data facilitates real-time adjustments to curricula, ensuring that educational content remains relevant and effective over time (Chinwe, 2024). However, the application of big data in this context faces challenges related to data integration, quality, and privacy. Educational institutions must invest in robust data infrastructure and develop analytical competencies among staff to fully harness these benefits. This study aims to investigate the role of big data in enhancing secondary school curriculum development in Jalingo Local Government by comparing traditional curriculum development practices with data-driven approaches and providing recommendations for best practices in leveraging big data to create more adaptive and effective curricula (Musa, 2025).
Statement of the Problem
Secondary schools in Jalingo Local Government face challenges in developing curricula that effectively prepare students for future academic and career challenges. Traditional methods, which rely heavily on sporadic stakeholder feedback and historical data, are often unable to capture the dynamic and rapidly changing educational landscape (Nasir, 2023). Consequently, curricula may become outdated, failing to address emerging skills and industry demands. While big data analytics presents an innovative solution by enabling the analysis of comprehensive and real-time data, its implementation in curriculum development remains limited due to issues such as data fragmentation, inconsistent data quality, and concerns regarding data privacy (Chinwe, 2024). Additionally, the lack of technical expertise in educational institutions further hinders the integration of big data into curriculum design processes. This results in curricula that are not fully informed by current trends, leading to gaps in student preparedness and misalignment with labor market needs. The absence of an evidence-based framework for using big data in curriculum development creates a critical gap that needs to be addressed. This study seeks to bridge that gap by developing a model that integrates big data analytics into the curriculum development process, thereby enhancing the responsiveness and relevance of educational programs. The ultimate goal is to provide secondary schools in Jalingo with actionable insights that can lead to the continuous improvement of curricula and better educational outcomes for students (Musa, 2025).
Objectives of the Study:
- To develop a big data-driven framework for curriculum development in secondary schools.
- To evaluate the effectiveness of the data-driven approach compared to traditional methods.
- To recommend strategies for integrating big data analytics into ongoing curriculum review processes.
Research Questions:
- How can big data analytics enhance the process of curriculum development?
- What are the limitations of traditional curriculum development methods in secondary schools?
- What strategies can improve data integration and usage in curriculum design?
Significance of the Study
This study is significant as it explores the application of big data in enhancing secondary school curriculum development in Jalingo Local Government. The insights derived will help educators design curricula that are responsive to current educational trends and labor market needs, ultimately improving student preparedness and academic success (Nasir, 2023).
Scope and Limitations of the Study:
This study is limited to the use of big data for curriculum development in secondary schools in Jalingo Local Government, Taraba State.
Definitions of Terms:
• Big Data Analytics: The process of analyzing large datasets to uncover trends and insights (Chinwe, 2024).
• Curriculum Development: The systematic planning and design of educational courses (Nasir, 2023).
• Adaptive Curriculum: Educational content that evolves based on data-driven insights (Musa, 2025).
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