Measuring the Information Volume of Teaching Material in Physics and Chemistry on the Basis of the Inter-Disciplinary Connections’ Information Model

2013 ◽  
Vol 785-786 ◽  
pp. 1484-1488
Author(s):  
Tatyana N. Gnitetskaya ◽  
Elena B. Ivanova

This article presents a quantitative assessment method of information volume contained in a teaching material unit. The method is based on the inter-disciplinary connections information model elaborated by Gnitetskaya T. N. The method was applied to school chemistry and physics courses for the 8th grade. The cross-curricular links object is the concept of the electron. The information volume was calculated transferred through the electron concept as well as the minimum apprehension time of the teaching material in students. As a part of the method, the article presents an example of optimizing the inter-disciplinary connections in the teaching material. The possibility of designing the curricular contents based on the inter-disciplinary connections information model taking into account information limitations is shown.

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 49-54
Author(s):  
Sota Onozuka ◽  
Yusuke Kishita ◽  
Mitsutaka Matsumoto ◽  
Michikazu Kojima ◽  
Yasushi Umeda

2021 ◽  
Author(s):  
Ruth Duerr ◽  
Ahmed Eleish ◽  
Mark Parsons ◽  
Daniel Berrios ◽  
Kaylin Bugbee ◽  
...  
Keyword(s):  

2008 ◽  
Vol 32 (7) ◽  
pp. 561-568 ◽  
Author(s):  
Jong-Chan Lee ◽  
Kwan-Soo Kim ◽  
Jong-Hyung Yim ◽  
Hyo-Won Lee ◽  
Young-Min Kwon ◽  
...  

2014 ◽  
Vol 644-650 ◽  
pp. 2587-2590
Author(s):  
Yu Qin Xu ◽  
Xiang Ling Zhan ◽  
Zheng Ren ◽  
Tong Li ◽  
Guo Hua Qiao ◽  
...  

The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.


Author(s):  
Shengchun Yang ◽  
Jing Zhou ◽  
Yaping Li ◽  
Jianguo Yao ◽  
Hongfa Ding ◽  
...  

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