Design and Development of Web Content Format on Context Based Mobile Learning System

Abstract

Mobile Learning is a learning activity whose learners do not have to stay on a fixed location for a specific amount of time. In more recent times, not every mobile-based web application can successfully detect computational environment on client side. For mobile learning especially, failure to support multiple platforms can deteriorate learning process. This research proposed a mobile learning prototype application that could detect client’s computing environment by analyzing handset features and client’s current network speed state. Handset features detection can be achieved by using HTTP User Agent, while network speed state detection can be managed by using HTTP request delay detection. It also implemented the possibility of using JavaScript both as a server side scripting language with Node.js and document oriented database system using MongoDB.