Year: 2021 | Month: April | Volume 12 | Issue 1

To Ascertain Factors of Learning Objectives Facilitating Quality Education Factor Analysis and Modelling the Relationship Among the Factors by Regression Model

Sheetal Aditya Neha Singh
DOI:10.30954/2230-7311.1.2021.1

Abstract:

The relationship between learning objective of online learning acquired by students and learning outcome achieved by them is studied through understanding the association 24 factors in learning benefits and learning satisfaction. Learning objective under the research were assumptions or statements which are expected to be achieved by a student or learner at the end of a course or unit or qualification. They can be consequences a student or learner must know, evaluate and be able to exhibit after completion of a process of learning. Association of factors were studied through Exploratory Factor Analysis with principal component with 173 respondents of students with Kaiser-Meyer-Olkin Measure of Sampling Adequacy value of 0.932 and Bartlett’s Test of Sphericity giving 0.00 sig. value. The Cronbach’s alpha is 0.995, which indicates a high level of internal consistency in the variable of study to understand online learning among students. After the rotation and extraction of fixed 3 factor component, given by scree plot and Varimax with Kaiser Normalization, F1 factors are derived comprising of 12 factors. These 12 factors were studied through linear regression model assuming these 12 factors as independent variable on dependent variable significant benefit in online learning. The model summary gave the values of R = 0.665, R Square = 0.443 and Adjusted R Square = 0.401 with ANNOVA significant value = 0.00. With the backward regression applied of range of 0.05 to 0.51, there were 8 excluded factors.The regression equation can be predicated as follows:-Y (Significant benefit in online learning) = a (Constant) + b1 (Coefficient of Better Learning retention) × 1 (Better Learning retention) + b2 (Coefficient of Cost effective score) × 2 (Cost effective score) + b3 (Coefficient of Helps to increase interest) × 3 (Helps to increase interest) + b4 (Coefficient of Learning on own’s pace) × 4 (Learning on own’s pace) + b5 (Coefficient of Mobility and ease of use of online learning tools) × 5 (Mobility and ease of use of online learning tools).





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