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Reducing the duration of higher education study with sequenced course recommendation using categorical subset summation algorithm
Published in Blue Eyes Intelligence Engineering and Sciences Publication
2019
Volume: 7
   
Issue: 5
Pages: 751 - 753
Abstract
In recent years, gen-y student’s learning pace is expanded on account of which the students could complete the required courses before the duration of their degree program. Students enroll the courses in their very own successions and interests during the adaptable course enrolment process. Course arrangement proposal encourages the students to finish their degree program before the duration of the study. This paper proposes a course suggestion framework using categorical subset summation algorithm to decrease the higher education study duration. This model is evaluated by comparing the proposed method with the current course registration patterns followed at our university. © BEIESP.
About the journal
JournalInternational Journal of Recent Technology and Engineering
PublisherBlue Eyes Intelligence Engineering and Sciences Publication
ISSN22773878