A Web-Based Training and Evaluation System for Government Institutions with Application of Data Analytics

Authors

  • Rogine R. Calicdan Polytechnic University of the Philippines (PUP), Manila, Philippines
  • Aleta C. Fabregas Center for Computing and Information Sciences, Polytechnic University of the Philippines, Manila, Philippines

DOI:

https://doi.org/10.69478/JITC2022v4n2a02

Keywords:

Data analytics, Training and evaluation system, Web-based, k-means algorithm

Abstract

The study aimed to evaluate the Web-based Training and Evaluation System for use in training workforces. The system was intended to evaluate the ratings given by participants to the training speakers and the training as a whole through survey questionnaires indicating the participant’s level of satisfaction with the conducted training. The system was initiated in government institutions and will subsequently be used in educational institutions such as schools and training institutions. The purpose of the study was therefore to describe the effectiveness of the Web-Based Training and Evaluation Systems in identifying, analyzing, and measuring the level of satisfaction of each training and seminar conducted. A K-means algorithm was used to build the system, wherein the data gathered will be clustered and stored in a repository, and the data will be displayed on the system dashboard to give insight into the overall training process and help determine the effectiveness of the training program and the speakers. Precisely, the research study was focused on the level of satisfaction in the aspects of: Functionality, Reliability and Usability which are three of the subsections of the Software Quality Standards defined in ISO/IEC 9126, an international standard for the evaluation of software quality. The data were collected using descriptive and developmental methods. Purposive sampling was used, and fifteen (15) training personnel were the participants of the research. The results showed that in terms of the Functionality aspect, the participants’ rating had a weighted mean of 4.43, which was considered highly satisfied, while based on Reliability, the participants were highly satisfied with the system with a weighted mean of 4.27. Meanwhile, in terms of the system’s Usability, the participants were highly satisfied, as their ratings’ weighted mean is 4.53. It was deduced from the collected data using the three indicators’ overall weighted mean of 4.41; thus, the system got a highly satisfactory rating and can be classified as effective for use in the evaluation of the training programs.

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Published

2022-12-30

How to Cite

A Web-Based Training and Evaluation System for Government Institutions with Application of Data Analytics. (2022). Journal of Innovative Technology Convergence, 4(2). https://doi.org/10.69478/JITC2022v4n2a02

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