Statistical Scoring Algorithm for Learning and Study Skills

July 13, 2014
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Statistical Scoring Algorithm for Learning and Study Skills

 

This 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.

Gogus, A. & Ertek, G. (2012). “Statistical Scoring Algorithm for Study Skills and Kolb’s Learning Styles”. Presented at the International Conference of New Horizons in Education-2012 (INTE-2012), Prague, CZECH REPUBLIC, June 6, 2012.

Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.

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