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Personalized E-Learning Process Using Effective Assessment and Feedback

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dc.contributor.author Kim, Cheonshik
dc.contributor.author Kim, Cheonshik
dc.contributor.author Allayear, Shaikh Muhammad
dc.contributor.author Park, Sung Soon
dc.date.accessioned 2018-09-23T03:36:05Z
dc.date.accessioned 2019-05-27T09:57:11Z
dc.date.available 2018-09-23T03:36:05Z
dc.date.available 2019-05-27T09:57:11Z
dc.date.issued 2006
dc.identifier.uri http://hdl.handle.net/20.500.11948/3272
dc.description.abstract The amount and quality of feedback provided to the learner has an impact on the learning process. Personalized feedback is particularly important to the effective delivery of e-learning courses. E-learning delivery methods such as web-based instruction are required to overcome the barriers to traditional-type classroom feedback. Thereby, the feedback for a learner should consist not only of adaptive information about his errors and performance, but also of adaptive hints for the improvement of his solution. Furthermore, the tutoring component is required to individually motivate the learners. In this paper, an adaptive assessment and feedback process model for personalized e-learning is proposed and developed for the purpose of maximizing the effects of learning. Full Text Link: https://doi.org/10.1007/978-3-540-77368-9_7 en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject E-learning en_US
dc.subject Assessment en_US
dc.subject Feedback en_US
dc.subject IRT en_US
dc.subject ICT en_US
dc.title Personalized E-Learning Process Using Effective Assessment and Feedback en_US
dc.type Article en_US


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