An investigation of media Ruangguru as educational online platform in studying English

Ruangguru is one of the educational online platforms that has existed in Indonesia since 2014. The application which focused on education-based services became the new phenomenon of online learning that attracted students’ attention, especially in this 4.0 era. Thus, the main objective of this research was to investigate the use of the medium Ruangguru as an educational online platform and the student's perspective on the use of Ruangguru in learning English. The sample of the study was 10 students in the ninth grade at SMP IT Nurul Ishlah Banda Aceh. The data were collected and analyzed by using a descriptive qualitative design. The results showed that the students felt convenient in using Ruangguru, for the reason that it could be accessed through mobile phone anytime and anywhere. Based on the students’ perspective, Ruangguru was quite interesting and it could attract students’ attention in learning English for the reason that it provided visual animation which made the learning atmosphere became fun. The results of the study were expected to become a reference for school practitioners, parents, students, and general readers to find the learning aids that are compatible with the sophistication of technology and information update in learning English.

Development of an evidence-based medicine mobile application for the use in medical education

BACKGROUND: Evidence-based medicine (EBM) is a methodology that is being incorporated into more medical school curricula. Boston University School of Medicine was one of early adopters of Evidence Based Medicine in the United States. A growing concern in the medical community was that the complexities of applying EBM might be lost when students enter into their clinical rotations, thus there is a need for development of a tool to help reinforce the EBM principles. METHODS: The research team in collaboration with the designers of the Finding Information Framework, a custom-made EBM finding information tool, worked to develop a mobile application to help reinforce the framework for medical students. The app was designed with both Apple and PC operating systems in mind. Key features that were identified from current literature to provide the most user-friendly mobile application. Thus, the research team specifically utilized iOS and Android platforms as both platforms have a centralized app store, possess the highest volume of medical apps available, and are most widely used in the United States by medical students. RESULTS: The Finding Information Framework was a custom-made tool developed to guide new users of EBM, and help them to apply the principles in practice. The mobile application served an added convenience by allowing easy access and fast utilization of the EBM tools. The app was designed on an Android platform first due to its open-source OS and ease in app development to new programmers. Initially, the user-friendly web-based tool, App Inventor (AI), powered by Massachusetts Institute of Technology was evaluated to program the pilot Android app. Using both the AI Component Designer and the Block Editor, several problems were encountered in AI, such as the simplicity of the program and the lack of freedom in design. This moved the project to create the app natively and with a collaborative effort with the BU's Global App Initiative club. Initially, a wireframe was built using Balsamiq. Subsequently, the Android app was built using Android SDK and the iOS app was built in XCode with Objective C; both platforms had design sections prepared in Sketch, Adobe Photoshop and Illustrator. The last and final step was to obtain Boston University branding privileges for the app. CONCLUSION: The research team identified necessary features based on research to build a user-friendly, professional mobile application of an information mastery framework that can be used off-line. The app is called FIF as it is the title of the information mastery tool designed by BUSM EBM-VIG. With a clear mobile interface, it will be beneficial to the learning and training of medical students in EBM

Text Analytics for Android Project

Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and emotion analysis, document summarization, entity relation modelling, interpretation of the output. Already existing text analytics and text mining cannot develop text material alternatives (perform a multivariant design), perform multiple criteria analysis, automatically select the most effective variant according to different aspects (citation index of papers (Scopus, ScienceDirect, Google Scholar) and authors (Scopus, ScienceDirect, Google Scholar), Top 25 papers, impact factor of journals, supporting phrases, document name and contents, density of keywords), calculate utility degree and market value. However, the Text Analytics for Android Project can perform the aforementioned functions. To the best of the knowledge herein, these functions have not been previously implemented; thus this is the first attempt to do so. The Text Analytics for Android Project is briefly described in this article

Creating an Android application to serve offer and demand for private tutors and coaches

https://www.ester.ee/record=b5148690*es

Video-based Mobile Learning in EFL’s Writing

Abstract: The development of ICT has been recognized as an important aspect in today’s EFL classroom. Due to the low achievement of Indonesian EFL’s writing, video-based mobile learning is believed to be able to enhance the students’ writing skill. The flexibility and the practicality of mobile learning through video project offer a solution to English teachers in facilitating the students’ language learning and fostering the students’ engagement in authentic – real life context at their interests. This paper aims at presenting the literature review on the benefits of video-based mobile learning and its implementation in EFL’s writing.Key Words: mobile learning, video project, EFL writing skill, writing process approachAbstrak: Perkembangan teknologi informasi dan komunikasi yang dikenal dengan singkatan ICT  me-miliki pengaruh penting terhadap pengajaran bahasa Inggris sebagai bahasa asing. Metode video-based mobile learning dianggap mampu meningkatkan keterampilan menulis bahasa Inggris siswa In-donesia yang rendah. Fleksibilitas dan kemudahan penerapan metode mobile learning melalui proyek video memberikan solusi kepada pengajar bahasa Inggris untuk memfasilitasi dan mendorong peran serta siswa dalam pembelajaran yang autentik dan nyata sesuai minat mereka. Artikel ini bertujuan untuk menyajikan tinjauan pustaka tentang manfaat video-based mobile learning serta penerapannya dalam pembelajaran menulis siswa EFL. Kata kunci:  pembelajaran mobile, proyek video, keterampilan menulis efektif, pendekatan proses menulis