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- W3041425414 abstract "Technology used in smart cities could boost learning environments and make them smart. Thus, new techniques need to be explored to answer the demanding desires of learners. Since, academic institutions worldwide use Learning Management Systems (LMSs), this makes it easier to utilize and reuse LMSs more effectively and smartly. This paper utilizes software engineering design aspects to propose the EBP predictive model to potentially assist instructors proactively and effectively in developing smart learning content for the weak learners. The proposed model uses real learner’s EBP data collected from Moodle log system at the Sultan Qaboos University (SQU). This paper demonstrates a promising results that could enhance the performance of learners by providing good guides to instructors to improve the learning material for the learner in need." @default.
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- W3041425414 date "2020-06-01" @default.
- W3041425414 modified "2023-09-26" @default.
- W3041425414 title "Proposing the EBP Smart Predictive Model Towards Smart Learning Environment" @default.
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