Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13820
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dc.contributor.authorLaokietkul J.
dc.date.accessioned2021-04-05T03:32:27Z-
dc.date.available2021-04-05T03:32:27Z-
dc.date.issued2014
dc.identifier.issn20928637
dc.identifier.other2-s2.0-84930015634
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13820-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930015634&partnerID=40&md5=a564b793f9496ef774fdffca77eb9bfa
dc.description.abstractThis study was to create course associative classification rules called CourseACRs to evaluate course equivalency for a credit transferring process by using the associative classification technique. The purpose of this study was to create course evaluation tools for evaluating course equivalency. This study used course transfer history records of students in three bachelor's degree programs at Chandrakasem Rajabhat Univeristy, Thailand-- Information Technology, Computer Science and Multimedia Technology-- as a training data set. The result of this study revealed that the CourseACRs performed at a good level of performance with an accuracy rate of 89.63% of the courses equivalency model for the university's credit transferring process. Finally, the research discovered that the CourseACRs can be a guideline for academic staff and students to evaluate course equivalency in the credit transferring process and to manage an appropriate study plan after the credit transferring process in the future as well.
dc.titleCourse associative classification rules (courseACRs) to evaluate course equivalency for credits transferring process
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationJournal of Next Generation Information Technology. Vol 5, No.4 (2014), p.149-156
Appears in Collections:Scopus 1983-2021

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