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Title: Enhancing the intelligence of web tutoring systems using a multi-entry based open learner model
Authors: Abu Issa, Abdallatif
Al-Jadaa, Ali
Ghanem, Wasel
Hussein, Mohammed
Keywords: Intelligent tutoring systems;Computer-assisted instruction;Knowledge acquisition (Expert systems)
Issue Date: 2017
Abstract: The accuracy of learner model is the heart of any Intelligent Tutoring System (ITS). More intelligence in the ITS needs a more accurate learner model. In the earlier versions of ITS, the student must submit a test before using the ITS. at test was used to build the student model, which contains information about the knowledge of the student, his/her misconceptions, preferences and other related issues. However, this method doesn’t work e ciently for school students, because one test can t accurately evaluate their knowledge and misconceptions. In this research, we implement a system (web application) to get the student model for school students by allowing the students, parents, and instructors to add their assessment and feedback to the model. en the system uses these multi-entries together with the traditional test to build an enhanced student model (smart learner model). Furthermore, in order to support collaborative learning, the implemented system gives the student the access to open his/her model for other instructors and peers. e proposed system has been applied on a group of students, their parents and instructors. According to the obtained results and the surveys, the student s knowledge has been improved in many students. also the students, parents, instructors found the system to be useful, interesting and easy to use. Furthermore, all parties were happy to be engaged in the educational process
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