Abstract

The ubiquitous learning environment consists of wireless communication and sensing technology, integrates traditional paper-materials or digitalised multimedia materials to the authentic learning environment. In such environment, learners could read digital materials with mobile devices as well as interact with the authentic learning situation that the learning behaviours become more complicated than general network learning environments. This study aims to establish a portfolio management system for mobile learning environments and a learning behaviour analysis scheme that researchers and teachers could import to manage the learning activities and analyse the learning behaviours in the ubiquitous learning environment. As the portfolio in the ubiquitous learning environment presents time sequence, mining sequential pattern is applied for analysis in order to discover the learning paths and the difference between the learners with high learning achievement and low learning achievement for teaching and learning reference.

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