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Research on Training-mode of Intelligent Technical Talents in the Local Application-oriented University

Published: 09 June 2021 Publication History

Abstract

Weifang is an emerging electronic-information-industry city in China. The fast development of local industries raise huge demands on application-oriented technical talents of various fields, among which-artificial intelligence (AI) takes the leading position. However, it is a challenging task to train AI talents due to the complexity of AI. We investigate on training AI talents in application-oriented universities like Weifang University. We propose to integrate theoretical knowledge and hands-on ability to support the growth of comprehensive ability. Subsequently, we factorize the knowledge and ability structure into small pieces to lower the learning barrier. Based on these two solutions, we try to cultivate the engineering thinking and ability of students. Our practice in technical competition and research projects show the effectiveness of the solutions.

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Guo, Xu, Chuanming Ma, Xinjie Hu, Xiaojing Hu, and Wu Yan. “Application of groundwater functional zoning to coastal groundwater management: a case study in the plain area of Weifang City, China.” Environmental Earth Sciences 78, no. 16 (2019): 525.
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Guo, Ranran. “Exploration and Analysis on the Development Path of Smart Tourism in Shandong Province in the Era of Artificial Intelligence.” In Journal of Physics: Conference Series, vol. 1575, no. 1, p. 012022. IOP Publishing, 2020.
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Li, Chengming, Xiaoli Liu, Zhaoxin Dai, and Zhanjie Zhao. “Smart city: A shareable framework and its applications in China.” Sustainability 11, no. 16 (2019): 4346.
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Wei, Liping, and Yannian Hu. “Research on New and Old Kinetic Energy Transformation Supported by Smart City Construction in Big Data Era.” Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 1 (2019): 102-106.
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cover image ACM Other conferences
CIPAE 2021: 2021 2nd International Conference on Computers, Information Processing and Advanced Education
May 2021
1585 pages
ISBN:9781450389969
DOI:10.1145/3456887
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2021

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  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • Industry-University Collaborative Education Program granted by Ministry of Education of China
  • Undergraduate Education Reform Project of Shandong Province
  • the Key Technology Research and Development Program of SichuanProvince and Chengdu Municipality
  • the Higher Educational Science and Technology Program ofShandong Province
  • the Scienceand Technology Development Program of Weifang
  • Planning Project of the 13th Five-year Plan of China Information Industry Association Education Branch
  • the Science and Technology Benefiting People Plan Project of Weifang High Tech Zone
  • the Nature Science Foundation of Shandong Province
  • the National Natural Science Foundation of China
  • the Doctoral Program of Weifang University

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CIPAE 2021

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Overall Acceptance Rate 101 of 216 submissions, 47%

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