Since English has been an international
language, how to enhance English levels of people by useful computer assisted
learning forms or tools is a critical issue in non-English speaking countries
because it definitely affects the overall competition ability of a country.
With the rapid growth of wireless and mobile technologies, the mobile learning
has been gradually considered as a novel and effective learning form because it
inherits all the advantages of e-learning as well as breaks the limitations of
learning time and space occurring in the traditional classroom learning. To
provide an effective and flexible learning environment for English learning,
this study adopts the advantages of the mobile learning to present a
personalized intelligent mobile learning system (PIMS) which can appropriately
recommend English news articles to learners based on the learners’ reading
abilities evaluated by the proposed fuzzy Item Response Theory (FIRT). In
addition, to promote the reading abilities of English news, the unknown or
unfamiliar vocabularies of individual learner can also be automatically
discovered and retrieved from the reading English news articles by the PIMS
system according to the English vocabulary ability of individual learner for
enhancing vocabulary learning. Currently, the PIMS system has been successfully
implemented on the personal digital assistant (PDA) to provide personalized
mobile learning for promoting the reading ability of English news. Experimental
results indicated that the proposed system provides an efficient and effective
mobile learning mechanism by adaptively recommending English news articles as
well as enhancing unknown or unfamiliar vocabularies’ learning for individual
learners.
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