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JACIII Vol.23 No.2 pp. 242-247
doi: 10.20965/jaciii.2019.p0242
(2019)

Paper:

Extension Priority Evaluation Extension Model for Quality Evaluation of Innovation and Entrepreneurship Education

Yingying Zhou* and Leilei Wu**

*School of Marxism, Ningbo Dahongying University
No.899 Xueyuan Road, Haishu, Ningbo, Zhejiang 315175, China

**School of Information Engineering, Ningbo Institute of Education
No.899 Xueyuan Road, Haishu, Ningbo, Zhejiang 315175, China

Received:
April 21, 2018
Accepted:
June 1, 2018
Published:
March 20, 2019
Keywords:
extenics, priority-degree evaluating method, innovation and entrepreneurship education
Abstract

The quality evaluation of innovation and entrepreneurship education is of vital importance. On the basis of analyzing the current research of the quality evaluation of innovation and entrepreneurship education, this paper constructs the efficient innovation and entrepreneurship education quality evaluation system of 4 dimensions: innovation and entrepreneurship curriculum and activities, innovation and entrepreneurship education conditions, innovation and entrepreneurship education channels, innovation and entrepreneurship education effectiveness and 16 sub indicators, establishes the extension priority-degree evaluating model, and makes empirical study for 3 universities in Ningbo City, so as to put forward the corresponding suggestions.

Cite this article as:
Y. Zhou and L. Wu, “Extension Priority Evaluation Extension Model for Quality Evaluation of Innovation and Entrepreneurship Education,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.2, pp. 242-247, 2019.
Data files:
References
  1. [1] Y. Feng and X. Tong, “Quality evaluation model and method of innovation and entrepreneurship education in Research Universities,” J. of Huazhong Agricultural University, Issue 1, pp. 122-128, 2013.
  2. [2] F. Chen, “Research on quality evaluation method of innovation and entrepreneurship education in engineering colleges and universities,” Future and Development, Vol.5, pp. 94-96, 2015.
  3. [3] M. Koshelev, “Trustees’ and Investors’ Behavior in the First Two Rounds of a Trust Game: Overview and a (Partial) Explanation Based on Cooperative Game Theory,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.4, pp. 438-448, 2011.
  4. [4] S. Jia and B. Liu, “The construction of the evaluation system of innovation and entrepreneurship education in Higher Vocational Colleges,” Career Time and Space, Vol.9, No.9, pp. 8-9, 2013.
  5. [5] Y. Feng and X. Tong, “Study on the evaluation of innovation and entrepreneurship education in Colleges and Universities Based on Fuzzy Analytic Hierarchy Process,” J. of North China Electric Power University, Vol.2, pp. 137-140, 2013.
  6. [6] K. Gao and J. Hua, “Evaluation of innovation and entrepreneurship education in Colleges and Universities Based on improved AHP method,” Modern Education Management, Vol.4, pp. 61-64, 2015.
  7. [7] X. Luo, S. Li, and Z. Zhang, “Quality evaluation of innovation and entrepreneurship education based on BP neural network,” J. of Heihe University, Vol.3, pp. 38-40, 2014.
  8. [8] T. Ichimura, H. Inoue, A. Hara, T. Takahama, and K. J. Mackin, “A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.8, pp. 1082-1094, 2011.
  9. [9] Y. Zhou, L. Hao, and W. Liu, “Extenics-Based Study on Evaluation of Urban Community Home-care Service for the Elderly,” Procedia Computer Science, Vol.91, pp. 576-580, 2016.
  10. [10] K. Honda, A. Notsu, and H. Ichihashi, “Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.1, pp. 83-89, 2011.

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Last updated on Apr. 22, 2019