A Teaching-Learning Model for Software Engineering Courses through Sensor-Based Cognitive Approach

被引:0
|
作者
Gandhi, K. Indra [1 ]
机构
[1] Anna Univ, Dept Informat Sci & Technol, Madras 600025, Tamil Nadu, India
关键词
cognitive thinking; teaching-learning process; wearable sensors; object-oriented analysis & design; software engineering; system analysis and design; NEED; TIME;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
There is a big revolution and discussion regarding the education system of the students pursuing engineering education in highly populated countries. Educating Engineers is a highly motivating as well as a challenging task. However, the students from diverse environment perceive the lecturing of the Teachers at different levels. This paper discusses the importance of student's preference in initiating a cognitive based learning environment for engineering education. This includes the evolution in reversing the teaching mode for industrial perspective courses such as the "System Analysis and Design'' course which is pursued by students across various engineering disciplines. Similarly, Software Engineering relates to analyzing and building software systems. Object-Oriented Analysis & Design focuses on the analysis and design of software systems as related objects. ACoordinated Cognitive Thinking (CCT) model to evaluate the cognitive behavior of the students has been proposed so as to analyze the requirements of the students towards Software Engineering related courses. The need for cognitive based learning is assessed through Need For Cognition (NFC) scale with the focus on software system analysis and development. The response is evaluated through wearable sensor technology. Experimental results of around 70 students pursuing the Object-Oriented Analysis course have been taken into consideration. The results obtained revealed the fact that there should be a renaissance in engineering education by continuously reviving the teaching methodology for engineering students.
引用
收藏
页码:915 / 926
页数:12
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