Open AccessStructural Equation Modelling of Teaching Quality on Students’ Satisfaction
Author(s) -
Hamidah Suryani Lukman,
Ana Setiani,
Nur’aini Muhassanah
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1657/1/012083
Subject(s) - structural equation modeling , clarity , latent variable , affect (linguistics) , psychology , quality (philosophy) , process (computing) , mathematics education , variables , computer science , mathematics , statistics , biochemistry , chemistry , philosophy , communication , epistemology , operating system
Students are the main, vital, and central customers that must be served in a college. The college success is characterized by the quality of services provided, and service quality can be identified through student satisfaction. Therefore, knowledge is needed related to variables that affect student satisfaction, especially in the learning process. This study suspects that the knowledge and teaching methods used by educators in the learning process, the depth of material delivered, the implementation of the learning process, the clarity of the assessment of learning outcomes, and the affective interactions of lecturers and students affect the level of student satisfaction. This study uses the Structural Equation Modeling-Partial Least Square (SEM-PLS) with the Bootstrap parameter estimation method. The results showed that all the indicators forming the six latent variables used in this study were significant, so the models met the fit category. The results showed there was a positive and significant effect of the quality of teaching on the level of student satisfaction in the learning process by 19%. However, based on the five variables forming the quality of teaching, only the variable knowledge and teaching methods of lecturers have a significant effect on the level of student satisfaction.