scholarly journals Research on the Construction Strategies of Vocational English Effective Classroom in Higher Vocational Colleges

Author(s):  
Weirong Li
2019 ◽  
Vol 2 (4) ◽  
pp. 90-96
Author(s):  
Halliru Shuaibu ◽  
Siti Hajar Mohd Amin ◽  
Sarimah Ismail ◽  
Yusri Kamin

The aims of Vocational Colleges (VCs) are to give training and impart necessary skills leading to the production of craftsmen who will be enterprising and self-reliant. Many developing countries face the problem of unemployment among graduates; this may not be far from curricula modules mismatching job requirements. The scenario of low participation of private sector in skills development of graduates exists in Nigeria as a result of which the needs of local industries is not met. The objective of this paper is to compare the curriculum framework, courses/subjects-matter, aims, modes of transaction, and evaluation strategies in VCs in Malaysia and Nigeria. The methodology used in this study involved gathering previous studies on comparative analysis in education through Google Scholar, Science Direct, and JSTOR. Related Procedia were also retrieved from Elsevier. Literatures show that students have to adapt with 21st century knowledge, skills, innovative practice and competence as key points to job creation and wealth generation. The findings of this paper show that the curriculum structures in VCs in Malaysia are more updated than in Nigeria. However, curricula in VCs in Malaysia and Nigeria still need some improvements in entrepreneurship skills. This is necessary for effective transmission of knowledge and skills from school to work environment in the 21st century.


2020 ◽  
Vol 26 (26) ◽  
pp. 3049-3058
Author(s):  
Ting Liu ◽  
Hua Tang

The number of human deaths caused by malaria is increasing day-by-day. In fact, the mitochondrial proteins of the malaria parasite play vital roles in the organism. For developing effective drugs and vaccines against infection, it is necessary to accurately identify mitochondrial proteins of the malaria parasite. Although precise details for the mitochondrial proteins can be provided by biochemical experiments, they are expensive and time-consuming. In this review, we summarized the machine learning-based methods for mitochondrial proteins identification in the malaria parasite and compared the construction strategies of these computational methods. Finally, we also discussed the future development of mitochondrial proteins recognition with algorithms.


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