Integration of Heterogeneous Itembanks for E-Learning
博士 === 國立中山大學 === 資訊工程學系研究所 === 101 === Learning is a major human activity to better accommodate the environment or the society. The e-learning was proposed and developed in the past twenty years to enhance the human learning efficiency. Many information and communication technologies, like multimed...
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ndltd-TW-101NSYS53920742015-10-13T22:40:49Z http://ndltd.ncl.edu.tw/handle/79195697390722169037 Integration of Heterogeneous Itembanks for E-Learning 數位學習環境之異質題庫整合 Shih-Pang Tseng 曾世邦 博士 國立中山大學 資訊工程學系研究所 101 Learning is a major human activity to better accommodate the environment or the society. The e-learning was proposed and developed in the past twenty years to enhance the human learning efficiency. Many information and communication technologies, like multimedia and web, have already applied on the e-learning successfully. The personalization of learning can provide different learning contents and activities to different learners with various personal characteristics. To accomplish the personalization of learning, it is an important to realize the learning status of learners by the e-assessment in e-learning environment. The effectiveness of e-assessment is closely related with the content-richness of the itembank. For increasing the content-richness of itembank the thesis proposed a heterogeneous itembank integrator to integrate several different itembanks which can be with heterogeneous schemata in the same specific knowledge domain. The itembanks in the same specific knowledge domain may be with heterogeneous schemata because the instructors or editors of the textbooks/itembanks are with the various knowledge backgrounds or different philosophies of education. This thesis focuses on designing an effective itembank integrator to integrate the itembanks into an integrated itembank. Essentially, the integration method is based on the vector space model. And the proposed integrating method are improved by the weighted-content strategy and latent semantic indexing. In addition, the structure information of schema is also used to enhance the performance of integration. The experimental result shows the effectiveness of integration. In addition, we can find the influence of different education theories on the itembank integration. With the increasing of content richness, the integrated itembank has more redundancy among items. We also proposed a new method based on genetic algorithm to reduce the effect of redundancy in test sheet assembling. The experimental result shows the availability of the approach. At last, we extended the itembank integrator to the content/item integrator with the ability of integrating the content from Internet for more information richness in the e-assessment feedback. The experimental result also shows that the content/item integrator can provide more useful information in the feedback of e-assessment. Chu-Sing Yang Ming-Chao Chiang 楊竹星 江明朝 2013 學位論文 ; thesis 101 en_US |
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博士 === 國立中山大學 === 資訊工程學系研究所 === 101 === Learning is a major human activity to better accommodate the environment or the society.
The e-learning was proposed and developed in the past twenty years
to enhance the human learning efficiency.
Many information and communication technologies, like multimedia and web,
have already applied on the e-learning successfully.
The personalization of learning
can provide different learning contents and activities to different learners
with various personal characteristics.
To accomplish the personalization of learning,
it is an important to realize the learning status of learners
by the e-assessment in e-learning environment.
The effectiveness of e-assessment is closely related with the content-richness of the itembank.
For increasing the content-richness of itembank
the thesis proposed a heterogeneous itembank integrator
to integrate several different itembanks
which can be with heterogeneous schemata
in the same specific knowledge domain.
The itembanks in the same specific knowledge domain
may be with heterogeneous schemata
because the instructors or editors of the textbooks/itembanks are with
the various knowledge backgrounds or different philosophies of education.
This thesis focuses on designing an effective itembank integrator
to integrate the itembanks into an integrated itembank.
Essentially, the integration method is based on the vector space model.
And the proposed integrating method are improved by the weighted-content strategy
and latent semantic indexing.
In addition, the structure information of schema
is also used to enhance the performance of integration.
The experimental result shows the effectiveness of integration.
In addition, we can find the influence of different education theories on the itembank integration.
With the increasing of content richness, the integrated itembank has more redundancy among items.
We also proposed a new method based on genetic algorithm
to reduce the effect of redundancy in test sheet assembling.
The experimental result shows the availability of the approach.
At last, we extended the itembank integrator to the content/item integrator
with the ability of integrating the content from Internet
for more information richness in the e-assessment feedback.
The experimental result also shows that
the content/item integrator can provide more useful information
in the feedback of e-assessment.
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author2 |
Chu-Sing Yang |
author_facet |
Chu-Sing Yang Shih-Pang Tseng 曾世邦 |
author |
Shih-Pang Tseng 曾世邦 |
spellingShingle |
Shih-Pang Tseng 曾世邦 Integration of Heterogeneous Itembanks for E-Learning |
author_sort |
Shih-Pang Tseng |
title |
Integration of Heterogeneous Itembanks for E-Learning |
title_short |
Integration of Heterogeneous Itembanks for E-Learning |
title_full |
Integration of Heterogeneous Itembanks for E-Learning |
title_fullStr |
Integration of Heterogeneous Itembanks for E-Learning |
title_full_unstemmed |
Integration of Heterogeneous Itembanks for E-Learning |
title_sort |
integration of heterogeneous itembanks for e-learning |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/79195697390722169037 |
work_keys_str_mv |
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