Development of a Mobile Based Game with Image Recognition for Preschoolers

Abstract

Learning is not only confined in the classroom but also with the use of technology through the development of mobile games and learning management systems. Preschoolers are very active in the use of the technology by using their mobile devices to play games which are often not designed for their age and not educational.  Preschoolers prefer fun and engaging learning. This goal of the study is to design and develop a mobile application which aids in the learning experience of preschool students by providing an interactive game with the inclusion of image recognition. Incorporating image recognition technology will aid preschoolers in their ability to learn and identify various objects. This study was beneficial to preschoolers as this helped them in understanding the lessons in a fun and interactive manner. This study uses a descriptive-developmental research method with the ADDIE model being utilized in the development of the mobile application. The model for the image recognition part of the application was developed using Google’s Teachable Machine and a TensorFlow lite model was deployed in the application. The usability of the application was determined using the USE tool. The developed mobile based game presents a unique learning experience to preschoolers as it provides learning in a fun way and is suitable for preschoolers.