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Statistical scoring algorithm for learning and study skills

Göğüş, Aytaç and Ertek, Gürdal (2012) Statistical scoring algorithm for learning and study skills. In: 3rd International Conference on New Horizons in Education - INTE 2012, Prague, Czech Republic

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Official URL: http://dx.doi.org/10.1016/j.sbspro.2012.09.576

Abstract

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.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:study skills, study habits, learning, university students, scoring algorithm
Subjects:T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T58.5 Information technology
Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
L Education > LB Theory and practice of education > LB2300 Higher Education
H Social Sciences > HA Statistics
L Education > L Education (General)
Q Science > Q Science (General)
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T58.6-58.62 Management information systems
ID Code:20426
Deposited By:Gürdal Ertek
Deposited On:02 Dec 2012 11:10
Last Modified:09 May 2014 15:05

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