The development of Internet and Network enables people to access and get information easier and faster. There are a lot of devices provided for manipulating information, such as desktop, laptop, Pocket PC, and mobile phone. Each device plays a different role depending on individual needs. Mobile phone is a personalised device, which can be easily used anywhere to communicate with others, but cannot handle a high speed and large size of data, while laptop with a bigger size and high performance, can apply for a high speed and high quality content. Learning, the process of transferring information from one to others has a long history. E-learning is a type of distance learning where learning content and data are sent through the Internet. With the combination between learning and device, one can say we come closer to achieve learning anywhere and anytime. Adaptive e-learning tries to analyse system to match with individual needs. It collects learner history, behaviour, etc to construct learner model and make the system automatically adapt to support user’s need. There is, however, another approach that does not concentrate on learner model. It tries to realise the important issue based on digital divide. In Thailand, there is very big gap between students in urban and rural in accessing Internet, and computer performance. Based on these infrastructures, one issue becomes important which is how to develop and analyse the appropriate
Adaptive learning is considered as a learner-centered model. There are a lot of approaches that try to adapt the system based on earner history, behavior, activity and so on. However, very few researches concentrate on different environment, for example, speed of Internet, and connecting devices. The article mainly considers on the adaptive system based on the environment of each learner. The research designs the system to automatically detect the environment for each learner and transfer the suitable content for his/her environment. It introduces a process on choosing type and format of data for e-Learning system according to the environment.
content for each learner’s environment, which ultimately forms the “adaptive environment model”. A system has been designed in this research to utomatically detect the environment for each learner and transfer the suitable content for his/ her environment. A process has been introduced on choosing type and format of data for e-Learning system according to the student’s environment.
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