院系选课问题:原始认知网络过程方法

Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012 Pub Date : 2012-11-26 DOI:10.1109/TALE.2012.6360327

K. Kam, F. Yuen, M. Yuen

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引用次数: 2

摘要

高等教育的课程必须根据学生的兴趣、当前的行业需求和学术趋势，定期进行检讨和更新，以提高教育质量。为了有效地开发一些合理的课程，一个全面的方法来评估和选择适合学生的课程是项目课程开发的关键。本文提出了基于原始认知网络的多准则、多选择的院系选课策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Department course selection problem: The primitive cognitive network process approach

The program curriculum in tertiary education has to be reviewed and updated regularly to enhance the education quality regarding the student interests, current industry demands and academic trends. To effectively develop a number of reasonable courses, a comprehensive approach to evaluate and select the suitable courses for students is essential for the program curriculum development. This paper proposes the Primitive Cognitive Network Process for the department course selection strategy considering multiple criteria and alternatives.

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Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012

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