Learn Baybáyin: An e-Learning Mobile Application Using a Convolutional Neural Network

James Arnold Nogra, Cherry Lyn Sta Romana and Elmer Maravillas

The Philippine Congress has approved and signed the Bill 1022 which states that the Baybáyin will become the national writing system of the country. Public signages will now have their Baybáyin translation aside from the Latin characters A to Z. This would also mean that schools will start introducing and teaching this writing system. The problem is that only a few Filipinos knows about this writing system. By introducing this script to the people through an Electronic Learning (e-Learning) mobile application, the interaction needed between students and teachers will be reduced. The proposed Learn Baybáyin e-Learning app is divided into five stage groups for introduction, three writing stages, and reading. In the reading and writing stages, the app will upload the hand-drawn character by the user and then a convolutional neural network online will return the rating of that drawn character. After five months in the Android PlayStore, a total of 524 people used the app. For all the five stage groups, the users got an average score of 54.75%. This means that these users know how to read and write most of the Baybáyin characters. A usability measurement tool was emailed to the users of the app in which 102 responded. The usability review has 10 measurement items in which users can respond from 1 (strongly disagree) to 5 (strongly agree). The average for all the measurement items gathered from the users is 4.3 which indicates that they agreed in almost every aspect of the e-Learning app.

Volume 11 | 10-Special Issue

Pages: 1127-1135

DOI: 10.5373/JARDCS/V11SP10/20192915