scholarly journals A Study on Basic Learning Ability Support System for University Students: Based on Professors and Students' Perception and Needs

2016 ◽  
Vol 22 (2) ◽  
pp. 101-126
Author(s):  
Mighang Chung ◽  
양유정
Keyword(s):  
University Students ◽  
Support System ◽  
Learning Ability ◽  
Basic Learning

scholarly journals A Study on Factors Affecting Learning Persistence Intension of University Students

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Youngmi Moon
Keyword(s):  
University Students ◽  
School Satisfaction ◽  
Learning Ability ◽  
Academic Major ◽  
Welfare Programs ◽  
Factors Affecting ◽  
Major Satisfaction ◽  
Learning Efficacy ◽  
Specific Factors ◽  
Basic Learning

This study suggests practical measures to colleges and universities in plight of declining number of students. We collected and inquired into specific factors that affect learning persistence. The result of analysis on those factors affecting learning persistence proposes learning efficacy, academic major satisfaction, and school satisfaction as statistically significant ones.The measures to maintain attending ratio and reduce dropouts rates based on the result above can be suggested as follows. First, the precondition is to select students with basic learning ability to follow major courses.Second, to maintain learning, it is more important than any others that the enrolled students are given in each school customized approaches to majors that have stress on correlation with individuals’ grades for satisfaction found in major courses and motivation to focus on learning by highlighting strong points of the majors.Last, it will be helpful to carry out image-making or public promotion activities that may encourage pride in their schools. To add, expansion of welfare programs or amenities for students are considered to help increase students’ will to keep learning.

Application of Computational Statistics in the Assessment of University Students

2014 ◽  
Vol 543-547 ◽  
pp. 4308-4311
Author(s):  
Zhi Fang He
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Structural Equation ◽  
Career Planning ◽  
Reliability And Validity ◽  
Equation Model ◽  
Learning Ability ◽  
Computational Statistics ◽  
Five Factors ◽  
Planning Ability

We explored the methods of computational statistics in the application of ability assessment for university students. This paper used both exploratory factor analysis and confirmatory factor analysis carried out by statistical analysis software SPSS18.0 and lisrel 8.7, aimed to study a questionnaire which could be used to assess the comprehensive ability of university students. The retest reliability and the Cronbach reliability of the questionnaire were 0.88 and 0.90 respectively. And the structural equation model of university students ability suggested there were five factors: learning ability, innovation, career planning ability, communicative skills and psychological qualities. The indexes of RMSEA, GFI, AGFI, NNFI, NFI and CFI of the model were 0.075, 0.91, 0.91, 0.90, 0.93, and 0.92 respectively. The indexes of reliability and validity met the statistical criteria. The results can provide a guide for the ability assessment of university students.

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