Development of Adaptive Mobile Learning (AML) on Information System Courses
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 12
Abstract
In general, the learning process is done conventionally, where the learning process is done face to face between teachers with learners in the classroom. Teachers have a very important role in determining the quantity and quality of the implementation study. Therefore, teachers must think and plan carefully to improve learning opportunities for learners and improve the quality of teaching. Along with the development of mobile technology and communication is rapidly increasing, enabling the learning process is not only done in the classroom, but can be done anywhere and anytime. Based on the analysis of the results of observations in the class conducted by a researcher and as a teacher in the learning courses of Information Systems, found some obstacles encountered during the learning process This research is to develop an Adaptive Mobile Learning on Information Systems courses. The method used in this research is the development of research methods (research and development), which selected the design development using System Development Life Cycle model. Adaptive Mobile Learning will be validated and tested through three phases of testing are: (1) Product technical test as a software. (2) Testing of the product as a medium of learning, through expert review by a media expert, (3) Field test to evaluate the response of the students that learned Adaptive Mobile Learning. The results show that Adaptive Mobile Learning software is can present the material in the course of Information Systems. Media Adaptive Mobile Learning can be used as an alternative medium (supplement) of learning Information Systems courses. The response of students to the development and use of software for Adaptive Mobile Learning Information Systems courses is likely to very positive, which is at 67.7% very positive and 32.3% is positive.
Authors and Affiliations
I Wirawan, Made Gitakarna
Keywords
Related Articles
- EP ID EP122875
- DOI 10.14569/IJACSA.2015.061227
- Views 133
- Downloads 0
An Automatic Evaluation for Online Machine Translation: Holy Quran Case Study
The number of Free Online Machine Translation (FOMT) users witnessed a spectacular growth since 1994. FOMT systems change the aspects of machine translation (MT) and the mass translated materials using a wide range of na...
An Efficient Deep Learning Model for Olive Diseases Detection
Worldwide, plant diseases adversely influence both the quality and quantity of crop production. Thus, the early detection of such diseases proves efficient in enhancing the crop quality and reducing the production loss....
Empirical Analyis of Public ICT Development Project Objectives in Hungary
E-government development in most European countries was ensured from Structural Funds in the period of 2007-2014. In our paper we show how Hungary has used these funds in order to achieve efficiency and effectiveness in...
A Global Convergence Algorithm for the Supply Chain Network Equilibrium Model
In this paper, we first present an auxiliary problem method for solving the generalized variational inequalities problem on the supply chain network equilibrium model (GVIP), then its global convergence is also establish...
Energy Efficient Clustering and Cluster Head Rotation Scheme for Wireless Sensor Networks
Wireless sensor nodes are highly energy constrained devices. They have limited battery life due to various constraints of sensor nodes such as size and cost, etc. Moreover, most of the Wireless Sensor Network (WSN)...