Personalized Intelligent M-learning System for Supporting Effective English 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 m-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) for non-native english speakers. In addition, to promote an individual´s ability to read news articles in english, the new or unfamiliar vocabularies of the 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 the individual learner for enhancing vocabulary learning.