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dc.contributor.advisorYao, Jingtao
dc.contributor.authorZhou, Ying
dc.date.accessioned2015-07-22T17:40:39Z
dc.date.available2015-07-22T17:40:39Z
dc.date.issued2014-08
dc.identifier.urihttp://hdl.handle.net/10294/5841
dc.descriptionA Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Science, University of Regina. xi, 81 p.en_US
dc.description.abstractWeb-based learning is gaining popularity due to its convenience, ubiquity, person- alization, and adaptation features compared with traditional learning environments. The learning subjects of Web-based learning systems are mostly for popular sciences. Little attention has been paid for learning cutting edge subjects and no such systems have been developed for rough sets. Rough set theory has obtained signi cant attention as a mathematical approach to data representation and analysis in recent years. To realize Web-based learning for this subject,Web-based learning support systems can provide a reasonable framework. Web-based learning support systems sustain teaching as well as learning by making use of the Web technology, and are able to o er student-centered education. This thesis presents the design principle, system architectures, and prototype implementation of a Web-based learning support system named Online Rough Sets (ORS). The system is speci cally designed for learning rough sets in a student- centered learning environment. Some special features, such as adaptation, are em- phasized in the system. The ORS has the ability of adaptation to student preference and performance by modifying the size and order of learning materials delivered to each individual. Additionally, it predicts estimated learning time of each topic, which is helpful for students to schedule their learning paces. Two demonstrative examples show ORS can support students to learn rough sets rationally and efficiently.en_US
dc.language.isoenen_US
dc.publisherFaculty of Graduate Studies and Research, University of Reginaen_US
dc.titleA Web-Based Learning Support System for Rough Setsen_US
dc.typeThesisen
dc.description.authorstatusStudenten
dc.description.peerreviewyesen
thesis.degree.nameMaster of Science (MSc)en_US
thesis.degree.levelMaster'sen
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Reginaen
thesis.degree.departmentDepartment of Computer Scienceen_US
dc.contributor.committeememberSaxton, Lawrence V.
dc.contributor.committeememberFan, Lisa
dc.contributor.externalexaminerMorgan, Yasser
dc.identifier.tcnumberTC-SRU-5841
dc.identifier.thesisurlhttp://ourspace.uregina.ca/bitstream/handle/10294/5841/Zhou_Ying_200308388_MSC_CS_Spring2015.pdf


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