IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Quantitative Data Analysis on Student Centered Learning

Quantitative Data Analysis on Student Centered Learning
View Sample PDF
Author(s): Santhosh K.P. Kumar (Shinas College of Technology, Al-Aqur, Oman)and Shija Gangadharan (Shinas College of Technology, Al-Aqur, Oman)
Copyright: 2019
Volume: 10
Issue: 1
Pages: 6
Source title: International Journal of Smart Education and Urban Society (IJSEUS)
Editor(s)-in-Chief: Linda Daniela (University of Latvia, Latvia)
DOI: 10.4018/IJSEUS.2019010102

Purchase

View Quantitative Data Analysis on Student Centered Learning on the publisher's website for pricing and purchasing information.

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.

Related Content

Narasimha S. Paravastu, Sam Ramanujan. © 2024. 18 pages.
Lawrence Arokiasamy, Takemi Fujikawa, Shishi Kumar Piaralal, Thilageswary Arumugam. © 2024. 32 pages.
Mohamad Albakjaji, Reem Almarzouqi. © 2024. 15 pages.
Haytham Youssef Darwish, Mahmoud Farouk, Mohammed Abdelsalam. © 2024. 18 pages.
Huiyun Yang. © 2024. 16 pages.
. © 2024.
Gary Kwok, Cai Lian Tam. © 2023. 18 pages.
Body Bottom