scholarly journals Research on the Experiential Teaching of Scientific Research Course Based on the Cultivation of Innovation and Entrepreneurship

2017 ◽  
Author(s):  
Chunhong Zhang ◽  
Yuying Liu
Keyword(s):  
Scientific Research ◽  
Experiential Teaching ◽  
Innovation And Entrepreneurship

Development Status and Countermeasures of Innovation and Entrepreneurship Service Platform in China's Universities

2021 ◽  
Vol 7 (6) ◽  
pp. 6180-6189
Author(s):  
Wang Yong ◽  
Zhang Yaohui
Keyword(s):  
College Students ◽  
Government Policy ◽  
Scientific Research ◽  
Business Environment ◽  
Colleges And Universities ◽  
Service Platform ◽  
Development Status ◽  
Support For Innovation ◽  
The Government ◽  
Innovation And Entrepreneurship

Innovation and entrepreneurship service platforms in colleges and universities bear the dual responsibility of education on and support for innovation and entrepreneurship. However, at present, they are confronted with such problems as insufficient government policy publicity, insignificant transformation effect of scientific research achievements, fragile business environment, and weak financing function. To continue to advance the construction of innovation and entrepreneurship service platform for college students, it is necessary to improve the government environment of those platforms within colleges and universities, build the service platform based on the transformation of teachers’ scientific research achievements, enhance the business environment for college students’ innovation and entrepreneurship, and promote the financing capacity of colleges’ incubators.

scholarly journals Why Scientific Research is Imperative for Entrepreneurship and Sustainable Development in Pakistan

2016 ◽  
Vol 21 (Special Edition) ◽  
pp. 1-14
Author(s):  
Bilal U. Haq
Keyword(s):  
Scientific Research ◽  
Developed Countries ◽  
Expert Advice ◽  
Technological Breakthrough ◽  
The Us ◽  
Research Leadership ◽  
The Government ◽  
Acquisition Of Expertise ◽  
Innovation And Entrepreneurship

Indigenous scientific research is vital for a country’s long-term economic growth. The simple transference of technology or acquisition of expertise ultimately has developmental limitations. Examples from the hydrocarbon industry clearly illustrate this paradox: oil-rich developing countries can afford to procure expert advice with ease, but rarely develop the new skills essential to make the next technological breakthrough or scientific paradigm shift. Underlying this failing is often the absence of a culture of open scientific enquiry. For resource-deficient countries, this is compounded by the dearth of infrastructure. Such countries argue that they cannot afford to finance scientific research, although this does not always require large investments up front. Software research and development is a good example, requiring primarily technical knowhow, skilled labor and a desire for innovative success. The deficit of scientific research in Pakistan stems from many of these factors, even though the requisite human resources are available in abundance. Innovation and entrepreneurship requires a special mix of encouragement and incentives from the government and industry. This paper outlines some of these issues based on the author’s experience of several decades of research leadership and funding in the US and Europe, and his involvement in transferring advanced scientific knowledge to developing as well as developed countries.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Social-Scientific Research Competency

2019 ◽  
Vol 35 (5) ◽  
pp. 737-750 ◽  
Author(s):  
Christopher Gess ◽  
Christoph Geiger ◽  
Matthias Ziegler
Keyword(s):  
Higher Education ◽  
Test Scores ◽  
Research Performance ◽  
Scientific Research ◽  
Research Education ◽  
Crystallized Intelligence ◽  
Research Competency ◽  
Social Scientific Research ◽  
Social Scientific ◽  
Education Courses

Abstract. Although the development of research competency is an important goal of higher education in social sciences, instruments to measure this outcome often depend on the students’ self-ratings. To provide empirical evidence for the utility of a newly developed instrument for the objective measurement of social-scientific research competency, two validation studies across two independent samples were conducted. Study 1 ( n = 675) provided evidence for unidimensionality, expected differences in test scores between differently advanced groups of students as well as incremental validities over and above self-perceived research self-efficacy. In Study 2 ( n = 82) it was demonstrated that the competency measured indeed is social-scientific and relations to facets of fluid and crystallized intelligence were analyzed. Overall, the results indicate that the test scores reflected a trainable, social-scientific, knowledge-related construct relevant to research performance. These are promising results for the application of the instrument in the evaluation of research education courses in higher education.

Scientific Research on Yoga and Meditation

1978 ◽  
Vol 23 (5) ◽  
pp. 356-358
Author(s):  
ALCINE POTTS LUKENBACH
Keyword(s):  
Scientific Research
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