Project – The Influence of Data-Driven Decision-Making on Educational Resource Allocation in Selected Public Secondary Schools in Ilorin South Local Government Area, Kwara State.

CHAPTER ONE

INTRODUCTION

TITLE: THE INFLUENCE OF DATA-DRIVEN DECISION-MAKING ON EDUCATIONAL RESOURCE ALLOCATION IN SELECTED PUBLIC SECONDARY SCHOOLS IN ILORIN SOUTH LOCAL GOVERNMENT AREA, KWARA STATE

1.1 Background to the Study

Education is widely recognised as an important instrument for national development, social transformation and economic growth. The achievement of educational objectives depends not only on the quality of teachers and students but also on the availability, distribution and effective utilisation of educational resources. These resources include financial allocations, qualified teachers, classrooms, libraries, laboratories, instructional materials, furniture, information and communication technology facilities and other essential learning infrastructure. The effective management of these resources is particularly important in public secondary schools because government institutions are expected to provide accessible and quality education to students from different socioeconomic backgrounds. However, educational resources are often limited in relation to the increasing demands of school populations, making it necessary for educational administrators to adopt appropriate approaches to planning, allocation and utilisation. According to the World Bank (2018), improving education systems requires effective management of available resources, better institutional accountability and the use of reliable evidence to guide educational policies and administrative decisions.

In contemporary educational administration, decision-making has increasingly moved beyond the traditional practice of relying exclusively on personal experience, administrative assumptions and subjective judgement. School administrators are now encouraged to utilise relevant information and empirical evidence when making decisions concerning school operations and resource management. Data-driven decision-making refers to the systematic collection, examination, interpretation and application of relevant information to guide decisions and improve organisational performance. In educational institutions, such information may include students’ enrolment figures, academic performance, teacher availability, classroom conditions, financial records, attendance registers, school inspection reports and inventories of instructional materials. These sources of information enable school administrators to identify areas of greatest need and establish priorities when distributing available resources. Schildkamp (2019) explains that data-based decision-making involves collecting different forms of educational evidence, interpreting the information, implementing improvement actions and evaluating the outcomes of those actions. Consequently, the application of data-driven decision-making can strengthen the quality of administrative decisions and promote more responsible resource allocation in schools.

Furthermore, educational resource allocation involves the process through which available resources are identified, prioritised, distributed and utilised to meet the educational needs of students and schools. Effective allocation requires administrators to understand the differences in resource requirements among schools rather than distribute resources without considering their actual circumstances. For instance, a school with a high student population may require additional classrooms, teachers, desks and instructional materials, while another school may require laboratory equipment, library facilities or improvements in its physical infrastructure. When decisions are based on reliable school-level information, educational authorities can identify these differences and distribute resources according to demonstrated needs. In contrast, allocation based primarily on assumptions, administrative convenience or equal distribution without considering differences in school needs may result in resource shortages in some institutions and underutilisation in others. The World Bank (2018) emphasises the importance of using evidence to identify weaknesses in education systems and direct resources towards interventions capable of improving learning outcomes. This makes data-driven decision-making an important consideration in achieving equitable and efficient educational resource allocation.

The importance of data-driven decision-making is also reflected in the different categories of information that school administrators can use to determine resource requirements. Student enrolment data, for example, can assist administrators in identifying schools that require additional classrooms, teachers and furniture. Teacher-related information can reveal shortages in particular subject areas, unequal teacher distribution and the need for recruitment or professional development. Similarly, financial records can provide information about the availability and expenditure of funds, while facility inventories can reveal deficiencies in laboratories, libraries, classrooms, sanitation facilities and other learning infrastructure. Academic performance records can also help administrators identify subjects and student groups requiring additional instructional support and learning materials. Schildkamp, Poortman, Ebbeler and Pieters (2019) argue that effective data use in schools requires collaboration among school leaders and teachers, clear improvement goals and an organisational environment that encourages the interpretation and application of evidence. Therefore, the usefulness of educational data depends not merely on its availability but also on the ability of school administrators to analyse and translate the information into appropriate resource allocation decisions.

In Nigeria, the effective allocation of educational resources remains an important issue in the administration of public secondary education. Public secondary schools depend substantially on government funding and other approved sources of support to provide essential educational facilities, recruit and retain qualified teachers, maintain infrastructure and supply instructional materials. However, differences in student enrolment, school population, geographical location, infrastructure and institutional needs make resource distribution a complex administrative responsibility. The National Policy on Education recognises the importance of providing adequate educational facilities, qualified personnel and appropriate learning resources to support the achievement of educational objectives (Federal Republic of Nigeria, 2013). Similarly, the World Bank (2018) identifies the effective use of evidence, institutional accountability and improvements in education management as important elements in strengthening education systems. In this regard, data-driven decision-making provides an opportunity for educational administrators to move towards a more systematic approach to resource allocation by using verifiable information about school needs rather than depending entirely on routine administrative procedures.

The situation in Kwara State further demonstrates the importance of examining educational resource allocation at the local level. Research conducted by Omosibi, Atolagbe and Ajao (2021) on educational resource availability and utilisation in public and private secondary schools in Kwara State revealed that public secondary schools experienced shortages of physical educational resources compared with private secondary schools. The study also established that available physical resources were not sufficiently utilised in public schools, indicating the need for improved resource management and utilisation. Similarly, Abdulkareem, Atolagbe, Akinnubi and Afolabi (2013) examined public cost and internal efficiency in Kwara State public secondary schools and reported a significant relationship between public educational expenditure and internal efficiency. These findings suggest that the availability of financial resources alone may not guarantee effective educational service delivery unless the resources are appropriately distributed and utilised. Consequently, educational administrators in Kwara State need reliable information concerning enrolment, staffing, infrastructure, instructional materials and financial requirements to make informed decisions about the distribution of limited resources among public secondary schools.

At the local level, Ilorin South Local Government Area of Kwara State provides an important setting for examining the relationship between data-driven decision-making and educational resource allocation. Public secondary schools in the area operate within different institutional conditions and may have varying requirements regarding classrooms, qualified teachers, instructional materials, laboratories, libraries and other educational facilities. A study by Sulyman, Adaramaja, Ibrahim and Salihu (2024), which examined the quality of physical facilities in public and private secondary schools in Ilorin South Local Government Area, focused on the conditions of classrooms, laboratories and libraries. The study demonstrates the importance of assessing educational infrastructure at the local level rather than assuming that all schools have identical resource requirements. In addition, Nigeria’s 2024/2025 Annual School Census dashboard provides local education statistics for Ilorin South, including information on enrolment, teachers and school facilities, demonstrating the relevance of systematic educational data to planning and administration. Against this background, the present study seeks to examine the influence of data-driven decision-making on educational resource allocation in selected public secondary schools in Ilorin South Local Government Area, Kwara State, with particular attention to the use of school data, the identification of resource needs, the distribution of available resources and the challenges affecting evidence-based allocation decisions.

1.2 Statement of the Problem

The effective allocation of educational resources is fundamental to the achievement of educational objectives in public secondary schools. However, the management and distribution of available resources remain important challenges in educational administration, particularly where the needs of schools exceed the resources available to meet them. Public secondary schools require adequate classrooms, qualified teachers, instructional materials, functional laboratories, libraries, furniture and financial support to provide quality education. Despite the importance of these resources, differences in school enrolment, infrastructure, staffing and learning requirements may create situations where some schools experience shortages while others have relatively better access to available facilities. Omosibi et al. (2021) observed that public secondary schools in Kwara State experienced shortages of physical educational resources compared with private secondary schools. This situation raises concerns about the adequacy of existing resource allocation practices and the extent to which educational administrators consider the actual needs of individual schools when distributing available resources.

Another problem relates to the extent to which educational administrators utilise reliable data when making decisions concerning resource allocation. In some educational institutions, administrative decisions may be influenced by personal judgement, previous administrative practices, incomplete records and general assumptions rather than systematic analysis of school-specific information. When accurate information about student enrolment, teacher distribution, classroom capacity, instructional materials and financial requirements is not adequately considered, resources may not reach the schools or departments where they are most urgently required. For example, allocating teachers without examining subject-specific staffing needs may result in shortages in certain subjects, while distributing instructional materials without considering student population may create inequalities in access to learning resources. Schildkamp (2019) observes that although different forms of educational data are available to support school improvement, their effective application depends on the ability of educational stakeholders to collect, interpret and translate information into appropriate actions. The problem, therefore, is not simply the availability of educational information but whether such information is systematically utilised to guide resource allocation decisions in public secondary schools.

Furthermore, the effectiveness of data-driven decision-making may be affected by several institutional and administrative challenges. These include inadequate data management systems, poor record-keeping practices, limited technological infrastructure, insufficient data analysis skills among school administrators, irregular collection of school information and inadequate collaboration between schools and educational authorities. Even where relevant data are collected, the absence of appropriate analytical skills and effective information management procedures may prevent administrators from using the information to identify resource gaps and establish allocation priorities. Schildkamp et al. (2019) explain that effective data use in educational institutions requires supportive leadership, collaborative data analysis, clear institutional goals and an organisational environment that encourages evidence-based decisions. Where these conditions are lacking, educational data may remain underutilised, thereby limiting its contribution to effective planning and resource distribution. Consequently, it becomes necessary to investigate the extent to which these challenges affect the application of data-driven decision-making in selected public secondary schools in Ilorin South Local Government Area.

Although previous studies have examined educational resource availability, utilisation and the quality of school facilities in Kwara State and Ilorin South Local Government Area, there remains a need to give specific attention to how data-driven decision-making influences the allocation of educational resources in public secondary schools. For instance, Omosibi et al. (2021) investigated the availability and utilisation of educational resources in Kwara State, while Sulyman et al. (2024) examined the quality of physical facilities in secondary schools in Ilorin South. These studies provide useful insights into resource conditions but do not directly establish how the systematic use of enrolment records, staffing information, financial data, infrastructure assessments and other school records influences resource allocation decisions. Therefore, the extent to which data-driven decision-making promotes the identification of educational needs, equitable distribution of resources and efficient utilisation of available resources in selected public secondary schools in Ilorin South remains an important issue requiring investigation. It is against this background that this study seeks to examine the influence of data-driven decision-making on educational resource allocation in selected public secondary schools in Ilorin South Local Government Area, Kwara State.

1.3 Objectives of the Study

The main objective of this study is to examine the influence of data-driven decision-making on educational resource allocation in selected public secondary schools in Ilorin South Local Government Area, Kwara State.

The specific objectives are to:

1. Examine the extent to which data-driven decision-making is utilised in educational resource allocation in selected public secondary schools in Ilorin South Local Government Area.

2. Determine the influence of student enrolment and academic performance data on the allocation of educational resources in selected public secondary schools.

3. Examine the influence of data-driven decision-making on the equitable distribution and utilisation of educational resources in selected public secondary schools.

4. Identify the challenges affecting the effective application of data-driven decision-making in educational resource allocation in selected public secondary schools.

1.4 Research Questions

The following research questions are formulated to guide the study:

1. To what extent is data-driven decision-making utilised in educational resource allocation in selected public secondary schools in Ilorin South Local Government Area?

2. How do student enrolment and academic performance data influence the allocation of educational resources in selected public secondary schools?

3. How does data-driven decision-making influence the equitable distribution and utilisation of educational resources in selected public secondary schools?

4. What are the challenges affecting the effective application of data-driven decision-making in educational resource allocation in selected public secondary schools?

1.5 Research Hypothesis

The following null hypothesis will be tested at a 0.05 level of significance:

H₀: There is no significant relationship between data-driven decision-making and educational resource allocation in selected public secondary schools in Ilorin South Local Government Area, Kwara State.

1.6 Significance of the Study

This study is expected to be significant to educational administrators, school principals, teachers, government and educational policymakers, students, researchers and other stakeholders in the education sector.

Educational administrators: The findings of this study will provide educational administrators with useful information on the importance of using reliable educational data when making decisions concerning resource allocation. It will encourage administrators to consider student enrolment, staffing requirements, academic performance, financial records and infrastructural conditions when determining the needs of individual schools. This may improve administrative planning, accountability and the utilisation of available educational resources.

School principals: The study will assist school principals in understanding how accurate record-keeping and systematic data analysis can improve resource management within their institutions. It will encourage them to maintain reliable records on students, teachers, facilities, instructional materials and school expenditure. The findings may also help principals identify areas requiring urgent attention and communicate their schools’ resource needs more effectively to relevant educational authorities.

Teachers: The findings will be beneficial to teachers because appropriate resource allocation can improve the availability of instructional materials, teaching facilities and other resources required for effective classroom activities. Teachers may also understand the importance of providing accurate information about students’ academic performance, learning difficulties and instructional needs to support administrative decisions.

Government and educational policymakers: The study will provide useful information to government agencies and policymakers responsible for educational planning and resource distribution. It may assist them in developing policies that promote evidence-based allocation of financial, human and physical resources. The findings may also encourage the adoption of improved data management systems and monitoring procedures to ensure that resources are distributed according to the actual needs of public secondary schools.

Students: Students may benefit indirectly from the study through improved access to classrooms, qualified teachers, libraries, laboratories, textbooks and other instructional materials. When educational resources are allocated according to identified needs, the learning environment may become more supportive of effective teaching and learning.

Researchers and future scholars: The study will contribute to existing literature on data-driven decision-making and educational resource allocation, particularly within the Nigerian secondary education system. It may serve as a reference material for future researchers interested in educational administration, evidence-based planning, resource management and school effectiveness.

1.7 Scope of the Study

The study focuses on the influence of data-driven decision-making on educational resource allocation in selected public secondary schools in Ilorin South Local Government Area, Kwara State.

Geographically, the study is restricted to selected public secondary schools within Ilorin South Local Government Area of Kwara State. It does not cover private secondary schools or public secondary schools in other local government areas.

Thematically, the study examines the extent to which educational data are utilised in resource allocation, the influence of student enrolment and academic performance information on resource allocation, the relationship between data-driven decision-making and equitable distribution and utilisation of educational resources, and the challenges affecting the application of data-driven decision-making.

The educational resources considered include human resources, financial resources, physical facilities and instructional materials. The respondents may comprise principals, teachers and other relevant school administrators in the selected public secondary schools.

1.8 Operational Definition of Terms

The following terms are defined according to their usage in this study.

Data-Driven Decision-Making: This refers to the systematic collection, analysis, interpretation and utilisation of relevant educational information to guide administrative decisions concerning the management and distribution of resources in public secondary schools.

Educational Resource Allocation: This refers to the process of identifying, prioritising, distributing and assigning available educational resources to meet the academic, administrative and infrastructural needs of public secondary schools.

Educational Resources: These are the human, financial, physical and instructional materials required for the effective administration and operation of secondary schools. They include teachers, funds, classrooms, laboratories, libraries, furniture, textbooks and teaching aids.

Student Enrolment Data: This refers to recorded information concerning the number of students admitted or registered in a school, including their distribution across classes and levels, which can be used to determine the resource requirements of the school.

Academic Performance Data: This refers to information obtained from students’ examination results, continuous assessment records and other academic evaluations, which helps school administrators identify learning needs and areas requiring additional educational support.

Equitable Resource Distribution: This refers to the fair allocation of available educational resources based on the actual needs, population and specific requirements of individual schools rather than merely distributing resources equally without considering differences in institutional needs.

Public Secondary Schools: These are secondary educational institutions established, funded or managed by government to provide post-primary education to students.

Ilorin South Local Government Area: This refers to the local government area in Kwara State, Nigeria, within which the selected public secondary schools covered by this study are located.

Project – The Influence of Data-Driven Decision-Making on Educational Resource Allocation in Selected Public Secondary Schools in Ilorin South Local Government Area, Kwara State.