Non-Cognitive variables Predicting Middle School Student Academic Achievement Profiles in Korean Languages and mathematics: Using Cognitive Diagnostic Model and Structural Equation Model

2018 ◽  
Vol 31 (1) ◽  
pp. 1-27
Author(s):  
HeeKyoung Kim ◽  
◽  
Jung-A Han ◽  
◽  
2002 ◽  
Vol 70 (3) ◽  
pp. 257-287 ◽  
Author(s):  
Julio Antonio Gonzalez-pienda ◽  
Jose Carlos Nunez ◽  
Soledad Gonzalez-pumariega ◽  
Luis Alvarez ◽  
Cristina Roces ◽  
...  

2019 ◽  
Author(s):  
Juan Lu ◽  
Yang Shi ◽  
Xiuhua Hu ◽  
Xueping Qiu ◽  
Qian He ◽  
...  

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.


2021 ◽  
Vol 20 (2) ◽  
pp. 237-251
Author(s):  
Mehmet Karakus ◽  
Zara Ersozlu ◽  
Muhammet Usak ◽  
Jude Ocean

The current research aims to explore the impact of Science and Mathematics teachers’ self-efficacy on their intentions to leave through the mediating effects of their affective wellbeing (stress, burnout, and depression). Data were collected from 329 teachers of Science and Mathematics who were selected randomly with a clustered sampling method from 232 secondary schools in South and East Anatolia, Turkey. The structural equation model that yielded the best fit indicated that as teachers’ self-efficacy levels increase, their stress, burnout, depression, and intent-to-leave levels decrease. Teachers with high self-efficacy are less likely to develop intention-to-leave because of their positive affective well-being indicators. Results suggest that maths and science teachers who have optimistic beliefs in their capabilities can more easily cope with the stressors at work and have better affective well-being, and consequently, a lower level of intention-to-leave. The results provide educational leaders with insights as to how better to retain qualified Science and Mathematics teachers. Keywords: intent-to-leave, self-efficacy, science and mathematics teachers, wellbeing


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