scholarly journals Impact of Blended Course Selection System on Undergraduates’ Learning Outcomes: A Logistic Model Approach

Author(s):  
Xiufeng Xing ◽  
Aiqin Xi ◽  
Xueying Zhang
2005 ◽  
Vol 02 (02) ◽  
pp. 143-155 ◽  
Author(s):  
MOHAMAD ISA HUSSAIN ◽  
ANNUAR MD NASSIR ◽  
SHAMSHER MOHAMAD ◽  
TAUFIQ HASAN

2019 ◽  
Vol 3 (6) ◽  
pp. 104-109
Author(s):  
Mengshan Li ◽  
Fang Wang ◽  
Yanying Zhou ◽  
Debiao Li ◽  
Bingsheng Chen ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 12-21
Author(s):  
Lailli Rochmah ◽  
Murtono Murtono ◽  
Himmatul Ulya

This study aims to improve student mathematics learning outcomes by using the Auditory Intelectually Repetition (AIR) learning model approach. This research using a Kemmis and Taggart model design consisting of two cycles. The subject of the research is the 4th-grade student at Prambatan Kidul 1 Elementary School. Data analysis techniques through interviews, observation, and tests. The result of this study indicates that student learning outcomes using the AIR learning model assisted by magic circuit media have increased. This can be seen from the increase in the pre-cycle stage which shows the mathematical learning outcomes of a student by 37,03% with an average score of 62 experienced an increase in the first cycle of 59% with an average score of 66 and the second cycle also increased to 85% with a score an average of 77. Based on the result of the research that has been carried out by 4th-grade students at Prambatan Kidul Elementary School, can application Auditory Intelectually Repetition model assisted by magic circuit media can improve mathematics learning outcomes.


2021 ◽  
Vol 14 (10) ◽  
pp. 465
Author(s):  
Han-Khanh Nguyen ◽  
Mai-Nam Vu

The COVID-19 pandemic impacted many socio-economic areas of countries around the world. It has made the production and business situations of enterprises face substantial difficulties. In this study, the authors used data envelopment analysis (DEA) models to assess the impact of the COVID-19 pandemic on Vietnam’s textile and garment enterprises. The authors have used the binary logistic model to determine the factors affecting employees’ decision to change jobs in the textile industry. The research results showed that the COVID-19 pandemic greatly affected the business performance of the textile and garment enterprises in Vietnam. Moreover, the results helped identify the factors affecting employee turnover and proposed solutions to help businesses stabilize their personnel situation and develop sustainable businesses in the post-COVID-19 era.


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