Gamifying Children's Linguistic Intelligence With the Duolingo App

This chapter discusses the use of Duolingo App to enhance children's linguistic intelligence. Linguistic intelligence is expertise in applying vocabularies effectively and efficiently. Duolingo is an application based on the Android platform which helps children mastering other languages that they can practice speaking, reading, listening, and writing through a play. Children in early childhood are in the period of ‘playing' spontaneously. They will do activities of playing without any instruction from others. The activity of playing naturally will stimulate the aspects of linguistic and symbolic that this development is closely related to learning to speak by involving the ability to vocalize. The use of this application will implement toward gamification method. Gamification uses game-based mechanics, aesthetics, and game thinking to engage people, motivate action, promote learning, and solve problems. This chapter provides an illustration that gamification can be used specifically in stimulating linguistic intelligence based on a case study in Indonesia.

Media Pembelajaran Pengenalan Alat Transportasi dan Rambu Lalu Lintas Berbasis Android untuk Sekolah Dasar

Transportation equipment and traffic signs are one of the important lessons for elementary school students. However, many elementary school students only know the means of transportation without knowing the traffic signs. The purpose of this study is to build and create learning media to make it easier for students to recognize transportation tools and traffic signs using the Android platform. The method used in building this application is the waterfall method, which starts with making observations to testing the system. The tests used are black box testing and Mean Opinion Score (MOS). The results of the black box testing test are that the menu has been able to run according to their respective functions, while for MOS, it produces about 98% results stating that the application is running well. So that this application is used in accordance with the needs of elementary school students in helping to recognize means of transportation and traffic signs.

Technologies and implementation of an integration with geolocation and maps in mobile application development

This article describes native and cross-platform technologies used to implement the functionality of geolocation and geographic maps in the development of mobile applications for iOS and Android platforms. The implementation for iOS platform using Swift programming language, for Android platform using Kotlin programming language and cross-platform implementation using Flutter framework are considered in detail.

The Development of Interactive Learning Media on Android Platform Assisted By Google Sites

This study aims to (1) produce interactive learning media on the android platform assisted by Google Sites that is feasible for junior high school Science learning of respiratory system, (2) produce media that is practical for junior high school Science learning of respiratory system. This development research employed 4D model (Define, Design, Development, and Dissemination). The subject of this research was the second semester of the eighth-grade students in Junior High School 1 Wonosari. Research instruments used in this research included validation sheets, practicality assessment sheets, and student response questionnaires. The results of this study indicate that (1) media is feasible with a percentage value in terms of material is 80% (feasible) and in terms of media is 87% (very feasible). (2) media are practically used with values of V in the aspect of material clarity of 0.86 with a very practical category, the aspect of clarity of display 0.80 with a practical category, the benefit aspect of 0.81 with a very practical category, the aspect of ease of use 0.79 with a practical category. The results from the students’ responses of media's practicality showed a P value of 79 %, included in the practical category.

Implementation of Optical Character Recognition and Voice Recognition of House of Words (How) Dictionary Application on Android Platform

People with different languages need to be assisted by translator to establish the communication between them. The technology development which exists to fulfill communication needs is digital dictionary as translator tool. The capability of digital dictionary to translate the languages yet has a weakness in putting the input. Through this research, Optical Character Recognition using Tesseract library and Voice Recognition technologies using Google Speech-To-Text are used to replace the previous input system. Based on the implementation and testing, the OCR and Voice Recognition have been successfully recognizing the text and voice input with the amount of similarity of 92,72% for OCR and 95,46% for Voice Recognition. The result of the implementation is expected to help a group of people with different language to communicate easily.