ANALYSIS OF DEPENDENCES OF E-LEARNING USAGE ON STUDY RESULTS
Journal: Journal on Efficiency and Responsibility in Education and Science (ERIES Journal) (Vol.8, No. 1)Publication Date: 2015-03-31
Authors : KUNCOVA; Martina; VOJACKOVA; Hana;
Page : 23-34
Keywords : Study results; Subjects; Comparison; Moodle; Chi-square test of independence;
- ANALYSIS OF DEPENDENCES OF E-LEARNING USAGE ON STUDY RESULTS
- ANALYSIS OF STUDY RESULTS AND THE USE OF E-LEARNING MATERIALS WITHIN DISTANCE EDUCATION
- RELATION BETWEEN RESULTS OF THE LEARNING POTENTIAL TESTS AND STUDY RESULTS
- To Analysis the Relation Between Internet Usage and Depression with Machine Learning
- Identification of Effectiveness Measurements and Bias Publication of Literature Results Study: A Cooperative Learning Models on Mathematics Learning Outcomes of Vocational School Students in Indonesia
Abstract
This paper is aimed at the analysis of the study results of selected subjects of the full-time and part-time forms of study at the study programme Economics and Management that is offered at the College of Polytechnics Jihlava and covers two fields of study - Travel and Tourism, Finance and Management. The analysis extends and elaborates the findings from the paper Kuncova and Vojackova (2014). The first part of the study compares the results of the period before the start of the e-learning (2008 for full-time students and 2010 for part-time students) with the year 2012 (after the e-learning implementation) for both study fields. The second part is dedicated to the analysis of results of mathematical and statistical subjects. We have formulated 3 hypotheses for the first part concerning the dependence of the results on study year, form of study and study field. In the second part only first two hypotheses are relevant. The results from all selected subjects are tested via Chi-square test of independence. This comparison should answer a question if the e-learning had an impact on study results and if we can find dependence between results of two different types of study, two different years or two different study branches. The comparison shows differences of full-time and part-time students. However, we cannot prove the influence of the e-learning on the evaluation.
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