Chapter 1: Introduction
1.1 Background
Evaluating the performance of faculty members is essential for maintaining the quality of education in any academic institution. However, many universities still rely on traditional, paper-based evaluation systems that are often slow, inefficient, and prone to errors. These manual processes can lead to delayed feedback, lost data, and missed opportunities for faculty improvement.
At Wesleyan University-Philippines, the BSIT program under the College of Engineering and Computer Technology (CECT) recognizes the need for a better system. This project aims to create an Online Faculty Performance Evaluation System with integrated Data Analytics.
Data analytics plays an increasingly important role in modern education systems. Beyond simply collecting scores, it allows institutions to uncover patterns, measure trends, and make evidence-based decisions. Administrators can identify areas where faculty members excel and detect early signs of challenges. This supports targeted professional development and improved teaching strategies.
1.2 Statement of the Problem
- What challenges and inefficiencies are present in the current manual evaluation process?
- How can an online platform make faculty evaluations quicker, more reliable, and more meaningful?
- In what ways can data analytics enhance the interpretation of evaluation results for better decision-making?
1.3 Objectives
General Objective: To design and develop an online faculty performance evaluation system with data analytics for the BSIT program at CECT.
Specific Objectives:
- Identify issues and limitations in the current evaluation process.
- Create a web-based platform where students can submit evaluations easily.
- Integrate data analytics tools that provide clear summaries and insights from the evaluation results.
- Assess the system's usability, reliability, and overall effectiveness.
1.4 Scope
This project focuses on the online creation and submission of faculty evaluation forms, real-time aggregation and basic analysis of evaluation data, and visualization of results through dashboards and summary reports. The system will be implemented specifically for the BSIT program during AY 2024-2025.
1.5 Significance of the Study
- Students: Easier, faster, and anonymous feedback submissions.
- Faculty Members: Timely and detailed evaluations to guide improvement.
- Administrators: Access to data-driven reports to support decisions about faculty development.
Chapter 2: Method
2.1 Research Design
This study used a developmental-descriptive research design. The developmental part focused on building the system, while the descriptive part evaluated its effectiveness and usability.
2.2 Participants
- 50 BSIT students who completed faculty evaluations.
- 5 faculty members who were evaluated.
2.3 System Development Approach
The Agile development method was used, which included planning, designing, coding, testing, and refinement phases. The system used:
- HTML, CSS, and JavaScript for the frontend
- PHP and MySQL for backend and database
- Chart.js for data visualization
2.4 Data Collection Procedures
- Interviews with administrators and students
- Surveys measuring system satisfaction
- System logs tracking usage and performance
2.5 Data Analysis
- Quantitative: Survey responses were analyzed using descriptive statistics.
- System Metrics: Error rates, load times, and submission rates were monitored.
- Qualitative: Open-ended feedback was reviewed for insights.
2.6 Ethical Considerations
All participants gave informed consent. Confidentiality was maintained and no personally identifiable data was shared in reports.