Proposed framework to manage cognitive load in computer program learning

被引:0
|
作者
Yousoof, Muhammed [1 ]
Sapiyan, Mohd [2 ]
Ramasamy, K. [3 ]
机构
[1] Dhofar Univ, Math & IT Unit, Salalah, Oman
[2] Univ Malaya, Fac Comp Sci & IT, Kuala Lumpur, Malaysia
[3] Dhofar Univ, Elect & Comp Engn Dept, Salalah, Oman
来源
ADVANCES ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES, PROCEEDINGS | 2008年
关键词
cognitive load; physiological measures; galvanic skin response; fractal tree;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cognitive load experienced while learning programming is very high due to the high element of interactivity and poor instructional design. Prior researchers [2][5][6][8] have focused to minimize the load such as program visualization, pair programming etc. The impact of these measures is not determinable since there is no mechanism to monitor the load and thus the results of the previous researches are very subjective. In this paper, we propose a framework which consists of 3 layers. This framework will help in managing the load by monitoring the load. When the load exceeds the capacity, the instructional design could be altered or customized to enable the learning. This framework is a novel way to ease the learning process of computer programming. This paper conceptually proposes the framework with the necessary algorithms.
引用
收藏
页码:50 / +
页数:2
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