Survey and analysis of current mobile learning applications and technologies
ACM Computing Surveys (CSUR)
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Timely farming guidance is currently achieved via web-based e-learning as agricultural information technology develops. In this paper, we address the problem of timely farming guidance by integrating the advanced mobile learning technologies with the relevant pedagogic theories. Firstly, we discuss the limitations that general mobile learning may suffer from; then, we study the specific requirements both on techniques and learning theories in case of timely farming guidance; finally, we propose a peer-to-peer mobile learning model, which shapes the essential interface between the mobile terminals and the web applications. The proposed model is validated via effective tradeoff among timely response, individual learning oriented content management and multimedia streaming based peer-to-peer interactivity.