RESEARCH PAPER
Practical Teaching Reform on Computational Thinking Training for Undergraduates of Computer Major
Jian-Bin Ma 1  
,  
Gui-Fa Teng 1
,  
Gui-Hong Zhou 1
,  
 
 
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Agricultural University of Hebei, CHINA
CORRESPONDING AUTHOR
Jian-Bin Ma   

College of Information Science and Technology, Agricultural University of Hebei, China. Address to No.289, Lingyusi St., Lianchi Dist., Baoding City 071001, China. Tel: +86-0312-7526425
Online publish date: 2017-10-18
Publish date: 2017-10-18
 
EURASIA J. Math., Sci Tech. Ed 2017;13(10):7121–7130
KEYWORDS
ABSTRACT
To improve undergraduates’ practical ability, strengthen their computational thinking training, and meet the social requirements for computer talents, Agricultural University of Hebei (AUH) in China has reformed practical teaching for computer major since 2013. Practical ability training program is made to guide the practical teaching reform. The reform includes four aspects, i.e. project-driven teaching methods, teaching staff construction, teaching support platform, and creative ability training methods. After implementing the reform for several years, AUH have achieved satisfying results. In this paper, the concrete contents and measures of the reform is introduced to provide reference to other colleges and universities.
 
REFERENCES (11)
1.
Allan, V., Barr, V., Brylow, D., & Hambrusch, S. (2010). Computational thinking in high school courses. Sigcse Proceedings of Acm Technical Symposium on Computer Science Education, 17(10), 390-391.
 
2.
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to k-12: what is involved and what is the role of the computer science education community? Acm Inroads, 2(1), 48-54.
 
3.
Bhurtun, C., Jahmeerbacus, I., Oolun, K., & Feliachi, A. (1999). Short-term practical training for electrical engineering undergraduates. IEEE Transactions on Education, 42(2), 109-113.
 
4.
Du, J., Ye, Q., Wen, Q., & Xiong, K. (2011). The research of introducing project practice training mode for computer professional talent. Procedia Engineering, 15, 4300-4304.
 
5.
Guzdial, M. (2008). Education paving the way for computational thinking. Communications of the Acm, 51(8), 25-27.
 
6.
Hambrusch, S., Hoffmann, C., Korb, J. T., Haugan, M., & Hosking, A. L. (2009). A multidisciplinary approach towards computational thinking for science majors. ACM Technical Symposium on Computer Science Education, 41, 183-187.
 
7.
Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., & Erickson, J. (2011). Computational thinking for youth in practice. Acm Inroad, 2(1), 32-37.
 
8.
Liu, J., & He, L. (2015). Practical skills training in computer education. International Journal of Information & Computer Science, 4, 25-29.
 
9.
Ran, Z. (2010). Exploration on the key Issues of Practical Teaching Reform of Computer Network. Third International Conference on Education Technology and Training, 17, 1914-1919.
 
10.
Settle, A., Franke, B., Hansen, R., Spaltro, F., Jurisson, C., Rennert-May, C., & Wildeman, B. (2012). Infusing computational thinking into the middle- and high-school curriculum. Proceedings of the 17th ACM annual conference on Innovation and technology in computer science education, 22-27.
 
11.
Wing, J. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
 
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