scholarly journals Evaluation on the Effect of Service-Learning in E-Business Professional Curriculum

2019 ◽  
Vol 14 (08) ◽  
pp. 115
Author(s):  
Jie Ji ◽  
Jianqiang Gu
Keyword(s):  
Student Engagement ◽  
Service Learning ◽  
Structural Equation Model ◽  
Influencing Factors ◽  
Direct Effect ◽  
Structural Equation ◽  
Equation Model ◽  
Students Satisfaction ◽  
Relevant Factors ◽  
Business Professional

Based on structural equation model, this paper evaluated the effect of Service-Learning in E-business professional curriculum, and built a structural equation model of Service-Learning and its influencing factors from three aspects: project resource, teaching organization and student engagement，in order to understand the students satisfaction to the effect of Service-Learning and the relevant factors. The results show that, the effect of Service-Learning is influenced by the three aspects mentioned above. Among which, teaching organization and student engagement have a direct effect on the effect of Service-Learning, however, the influence of the project resource mainly displays the indirect influence.

scholarly journals Structural Equation Model on Factors Affecting Students Satisfaction towards University Library: A Case Study

2021 ◽  
Vol 6 (2) ◽  
pp. 23-33
Author(s):  
Zahayu Md Yusof ◽  
Masnita Misiran ◽  
Hasimah Sapiri ◽  
Massudi Mahmuddin
Keyword(s):  
Structural Equation Model ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Equation Model ◽  
Online Services ◽  
Factors Affecting ◽  
Library Management ◽  
University Library ◽  
Students Satisfaction

Library in the university is known as the centre of knowledge. University library offers learning support, research requirement and also teaching materials. The objective of this study is to identify the most (and least) factors that contribute to students satisfaction towards university library. A case study on selected respondents consist of 266 undergraduate students was conducted. Their opinion on the library services has been recorded. Questionnaires were distributed to the respondents. Structural Equation Model was developed to display their responses. The finding concluded that online services and collections have significant relationship with the overall satisfaction towards the library, whereas facilities and library staffs do not have significant contribution to the satisfaction. As a suggestion, the library management should improve their service quality by upgrading the online services such as wireless access, library website service,  and online book renewal process to mentioned a few, which might be effective in improving the students’ satisfaction towards the library.

scholarly journals Research on Education Effect for Chinese Medical Students' Learning Style Based on Kirkpatrick Model and Structural Equation Model

2019 ◽  
Author(s):  
Juan Lu ◽  
Yang Shi ◽  
Xiuhua Hu ◽  
Xueping Qiu ◽  
Qian He ◽  
...  
Keyword(s):  
Academic Achievement ◽  
Medical Students ◽  
Learning Style ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Education Effect ◽  
Kirkpatrick Model ◽  
Four Levels ◽  
Students Satisfaction

Abstract Background: The recognition of learning style was not optimistic in China. The evaluating indices of education effect were vague and adopted some ready-made indices such as teaching satisfaction or academic achievement. Those indices have their own basis and significance, but one mere index can not reflect education effect comprehensively.Methods: We used Kirkpatrick model to appraise Chinese medical education effect by selecting appropriate indices for the four levels and structural equation model (SEM) to explore the correlation among those indices after a survey on 17460 medical students.Results: 1) Kirkpatrick model: Level 1 students’ satisfaction scored 4.19±0.993; Level 2 learning motivation 1.95±0.568; Level 3 the Visual 0.227±0.131, Aural 0.300±0.138, Read/Write 0.273±0.138 and Kinesthetic 0.324±0.144 for sensory learning style, Extroversion 0.531±0.207, Sensing 0.597±0.186, Thinking 0.585±0.207, Judging 0.662±0.225 for personality type and Concrete Experience 32.03±6.394, Reflective Observation 33.41±6.486, Abstract Conceptualization 34.13±6.650, Active Experimentation 34.00±6.600 for empirical learning style; Level 4 learning attitude 2.68±0.781, learning expectation 2.14±0.953 and academic achievement 2.43±0.793. 2) SEM: the fitting indices were 0.687-0.581. Most of the paths were valid except for VARK, T and J parts (t < 2, P > 0.05).Conclusions: Kirkpatrick model with selected indices evaluated comprehensively the education effect (learning style was one important index); there were actually relations among those indices; based on the importance tested by SEM and students’ satisfaction obtained from the survey, we sorted the college cultivating works into four types, among which type B (important but unsatisfactory work) urge most to be strengthened.

scholarly journals Effect of Bank Commitment, Bank Communication and Handling Customer Complaint on Customer Loyalty through Customer Satisfaction at PT Bank Central Asia Tbk of Mojopahit Mojokerto Sub-Branch Office

2019 ◽  
Vol 6 (3) ◽  
pp. 49
Author(s):  
R. Sapto Roedy Widijanto ◽  
Basuki Rachmat
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation Model ◽  
Direct Effect ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Model ◽  
Customer Complaint ◽  
Correlational Research ◽  
Branch Office

This research aims to analyze the effect of bank commitment, bank communication, and handling customer complaint on customer loyalty through customer satisfaction. This is a correlational research that uses a quantitative approach by applying SEM (Structural Equation Model) analysis. The research sampling used a purposive sampling technique that obtained 156 samples from customers. The results of this research include: 1) CR value between Bank Commitment and Customer Satisfaction is 3.469; 2) the CR value between Bank Commitment and Customer Loyalty is 2017; 3) the CR value between Bank Communication and Customer Satisfaction is 3.318; 4) CR value between Bank Communication and Customer Loyalty is 2.494; 5) CR value between Handling Customer Complaint and Customer Satisfaction is 2.322; 6) CR value between Handling Customer Complaint and Customer Loyalty is 2.365; 7) CR value between Customer Satisfaction and Customer Loyalty is 2.414; 8) the estimate value of direct effect of Bank Commitment on Customer Loyalty is 0.193; 9) the estimate value of direct effect of Bank Communication on Customer Loyalty is 0.251; 10 the estimate value of direct effect of Handling Customer Complaint on Customer Loyalty is 0.224. The conclusion of this research is that all variables have significant effect.

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