Validation of E-Learning Software in Introductory Physics
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 7)Publication Date: 2020-07-05
Authors : Leah C. Navarro; Angelito L. Catajan Jr;
Page : 1910-1915
Keywords : e- learning software; instructional system design; e-learning modules;
Abstract
The advent of Education 4.0 leads to implicit application of technology especially in higher learning institutions. The use of E-learning platforms becomes prominent, and different studies proved its effectiveness. The study aims to validate an e-learning software in teaching introductory Physics, specifically it seeks to evaluate an e-learning modules in physics, assess and enhance the system as well as appraise the performance of the e- learning software based on the selected criteria of ISO 9126. The study is anchored in the e-learning model which emphasized the analysis, design and evolution of the software and is conducted as a research process. The study is a product and tool research as well as model research which focused on developing instructional system design model for science teachers. Through Purposive sampling 30 IT students, five science instructors and seven IT experts were used as participants respectively. The appraisal of the e-learning software was based on the selected criteria on international organization for standardization / international electro technical commission (ISO/IEC) 9126. The data were collected using weighted mean and Likert scale and interpreted using it. The program was successfully evaluated with a broad average of 4.54, which is translated as excellent based on the given scale and on ISO -9126 software evaluation selected criteria. This shows that the software developed conforms to the standard in question and can be used for instruction.
Other Latest Articles
- A Novel Technique for Fake News Detection using Machine Learning Algorithms and Web Scrapping
- Effect of Adding Mulligan Segmental Traction to Conventional Therapy on Pain and Function in Subjects with Chronic Mechanical Low Back Pain: An Experimental Study
- Body Mass Index as a Predictor of New-Onset Atrial Fibrillation after Coronary Artery Bypass Graft Surgery
- Improving Community Literation on Bank Perkreditan Rakyat and Bank Pembiayaan Rakyat Syariah (BPR/BPRS)
- Spammer Detection and Identification on Social Network Using Machine Learning
Last modified: 2021-06-28 17:09:23