Quantitative Data Analysis on Student Centered Learning

Quantitative Data Analysis on Student Centered Learning

Santhosh K.P. Kumar (Shinas College of Technology, Al-Aqur, Oman) and Shija Gangadharan (Shinas College of Technology, Al-Aqur, Oman)
Copyright: © 2019 |Pages: 6
DOI: 10.4018/IJSEUS.2019010102

Abstract

This article examines the results of a survey conducted to students in which we identify the student centered learning (SCL) activities which are designed to be co-related with the defined course learning outcomes (CLO) that are required to perform the innovative teaching methods. Using statistical analysis, it examines whether-and to what extent, relationships exist between different categories of SCL activities and CLO. Survey results are then presented regarding to the methods by which students acquire the needed job-related skills and knowledge. This article applies systematic review to summarize the research by performing synthesis on the activities. Results of the review are presented and discussed in the article. The quantitative analysis finds that SCL activities generally shows statistically significant relationship with defined CLO included in this analysis.
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The Process Of Data Analysis

Data analysis is a process, of obtaining raw data and converting it into information useful for the decision-makers. (Judd et al., 1989) discusses that Data is collected and analyzed to answer questions, test hypotheses or disprove theories. Statistician (Tukey, 1961) defined data analysis in 1961 as: “Procedures for analyzing data, techniques for interpreting the results, ways of planning and gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data.”

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