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1.
SVONAR : a new quantitative method for studying learner satisfaction
Peter Kokol, Slavko Cvetek, Marko Kokol, Petra Kokol, Matej Urbas, 2012, original scientific article

Abstract: We investigated studentsʼ feelings and well-being during the lesson. We were working on a problem of how to adjust teaching in the secondary school and achieve that students will feel as good as possible and better follow the instruction. A hypothesis was set that, by measuring the desired length of lesson and factors which influence lesson length, we can measure and influencestudent satisfaction. Based on this hypothesis we investigated the factors which have influence on lesson length in a particular subject. Data were collected by means of a questionnaire. The subjects were students of II. gimnazija (secondary grammar school). The responses were analysed to obtain correlations between the factors (average grade in a subject, boredness and likableness of the teacher, length and level of boreness of lesson content, fear of the teacher) and lesson length. Results suggest that, by modifying these factors we could change studentsʼ opinions, that is, increase their willingness to attend classes. The set hypothesis was confirmed and it was shown that by using simple diagrammatic models built on the basis of linear regression we can identify and study the influence of these factors on lesson length.
Keywords: teaching, secondary school, quantitative methods, student satisfaction
Published: 05.06.2012; Views: 1166; Downloads: 151
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2.
Students' behavioral intentions regarding the future use of quantitative research methods
Polona Tominc, Maruša Krajnc, Klavdija Vivod, Monty L. Lynn, Blaž Frešer, 2018, original scientific article

Abstract: Changes regarding the importance of graduates’ competences by employers and changes of competences themselves are to a great extend driven by the technological changes, digitalization, and big data. Among these competences, the ability to perform business and data analytics, based on statistical thinking and data mining, is becoming extremely important. In this paper, we study the relationships among several constructs that are related to attitudes of economics and business students regarding quantitative statistical methods and to students’ intention to use them in the future. Findings of our research provide important insights for practitioners, educators, lecturers, and curricular management teams.
Keywords: students' behavioral intentions, quantitative statistical methods
Published: 10.10.2018; Views: 236; Downloads: 137
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