Multi-level and multi-perspective visual correlation analysis between general courses and program courses

Author:

Ji LianenORCID,Yuan Yaming,Gao Fang

Funder

National Nature Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference47 articles.

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2. Bergin, S., Reilly, R.: Programming: factors that influence success. ACM SIGCSE Bull. 37(1), 411–415 (2005)

3. Tessema, M.T., Ready, K., Yu, W.: Factors affecting college students satisfaction with major curriculum: evidence from nine years of data. Int. J. Humanit. Soc. Sci. 2(2), 34–44 (2005)

4. Hudson, H.T., Rottmann, R.M.: Correlation between performance in physics and prior mathematics knowledge. J. Res. Sci. Teach. 18(4), 291–294 (1981)

5. Malapati, A., Murthy, N.L.B.: Performance of students across assessment methods and courses using correlation analysis. In: 2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE), pp. 325–328 (2013)

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