ELTR Journal
Vol. 1 No. 2 (2017)

IMPLEMENTING MOBILE COMPUTING EXERCISES BASED ON ANDROID IN CREATING IDEAS TO FACILITATE INDEPENDENCE LEARNING OF READING COMPREHENSION

Lusy Tunik Muharlisiani (Universitas Wijaya Kusuma Surabaya)



Article Info

Publish Date
10 Feb 2020

Abstract

Computer technology has been experiencing quite rapid development in which it, in turn, has also caused a change in the human lifestyle. Nowadays, a new trend in e-learning is known as Mobile Learning. The main research argues the need to implement online learning environments to better support the representation and sharing of factual, procedural, to build and develop m-learning that can be used as a flexible learning media and conceptual knowledge to develop students' implement capabilities and produces learning logical reasonable will be prepared based on the needs of development. The implement-based research methodology explicates how to implement not only allowed more effective student representation and sharing of the different levels of knowledge required for abstraction to occur, but also enabled better teacher assessment and, hence, remediation also provides detailed guidance on creating interactive content (from the application of learning strategies and media to courseware development). The result obtained from this research is that 95% of the user from university students enjoy in using the application of mobile learning and it is only 5% does not enjoy. At last, it can be concluded that the use of the mobile learning application can make the learning process more flexible.

Copyrights © 2017






Journal Info

Abbrev

eltr

Publisher

Subject

Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

Description

ELTR Journal publishes original, previously unpublished research and opinion papers written in English. Paper topics on any language include the following main fields: 1. language studies/investigations 2. language teaching/learning 3. linguistics related to language learning Other closely-related ...