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dc.contributor.authorGurdal Ertek
dc.contributor.authorAytac Gogus
dc.date.accessioned2018-04-19T05:59:17Z
dc.date.available2018-04-19T05:59:17Z
dc.date.issued2012-10-05
dc.identifier.citationhttps://www-sciencedirect-com.adu-lib-database.idm.oclc.org/science/article/pii/S1877042812040384en_US
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/1321
dc.descriptionGogus, A., & Ertek, G. (2012). Statistical Scoring Algorithm for Learning and Study Skills.en_US
dc.description.abstractThis study examines the study skills and the learning styles of university students by using scoring method. The study investigates whether the study skills can be summarized in a single universal score that measures how hard a student works. The sample consists of 418 undergraduate students of an international university. The presented scoring was method adapted from the domain of risk management. The proposed method computes an overall score that represents the study skills, using a linear weighted summation scheme. From among 50 questions regarding to learning and study skills, the 30 highest weighted questions are suggested to be used in the future studies as a learning and study skills inventor. The proposed scoring method and study yield results and insights that can guide educators regarding how they can improve their students’ study skills. The main point drawn from this study is that the students greatly value opportunities for interaction with instructors and peers, cooperative learning and active engagement in lectures.en_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.subjectStudy skillsen_US
dc.subjectStudy habitsen_US
dc.subjectLearningen_US
dc.subjectHigher Educationen_US
dc.subjectScoring algorithmen_US
dc.titleStatistical Scoring Algorithm for Learning and Study Skillsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.sbspro.2012.09.576


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