Integrating Artificial Neural Network and Smartbot on the Development of an E-learning Platform

Authors

  • Gemma M. Pangilinan
  • Mary Ann F. Quioc
  • Luisito L. Lacatan

Abstract

An e-learning is overtaking conventional classroom teaching methods. It is a teaching-learning approach that entails to maximize learning opportunities of learners through the integration of current technology in the classroom and to practice the principle of Learning Management System (LMS). Through this approach, knowledge could propagate possibly and absorbed irrespective of the teaching personnel and learners. This study is specifically addressed the following objectives: (1) utilize an e-learning platform with the integration of Artificial Neural Network focused on the predictive readiness of Science, Technology, Engineering and Mathematics (STEM) learners for Work Immersion; (2)To evaluate the developed learning platform (SMARTBOT) using ISO 25010 in  terms of functional suitability, performance efficiency, usability, security, reliability and portability. In this study, applied and developmental research will utilize; it is a type of research design that deals on the formulation or development of such research output. The study came out with the following salient findings: 1) the ANN which is highly optimized system has a data accuracy of 92.80% based on WEKA results; and 2) the developed android application meets the software quality standards in terms of functional suitability, performance efficiency, usability, security, reliability, and portability.

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Published

2020-01-27

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Section

Articles