scholarly journals Enhancing knowledge integration from multiple experts to guiding personalized learning paths for testing and diagnostic systems

2021 ◽  
Vol 2 ◽  
pp. 100013
Author(s):  
Dechawut Wanichsan ◽  
Patcharin Panjaburee ◽  
Sasithorn Chookaew
2012 ◽  
Vol 39 (9) ◽  
pp. 8380-8388 ◽  
Author(s):  
Dechawut Wanichsan ◽  
Patcharin Panjaburee ◽  
Parames Laosinchai ◽  
Wannapong Triampo ◽  
Sasithorn Chookaew

2018 ◽  
Vol 16 (4) ◽  
pp. 31-53 ◽  
Author(s):  
Gwo-Haur Hwang ◽  
Beyin Chen ◽  
Shiau-Huei Huang

This article describes how in context-aware ubiquitous learning environments, teachers must plan a theme and design learning contents to provide complete knowledge for students. Knowledge acquisition, which is an approach for helping people represent and organize domain knowledge, has been recognized as a potential way of guiding teachers to develop real-world context-related learning contents. However, previous studies failed to address the issue that the learning contents provided by multiple experts or teachers might be redundant or inconsistent; moreover, it is difficult to use the traditional knowledge acquisition method to fully describe the complex real-world contexts and the learning contents. Therefore, in this article, a multi-expert knowledge integration system with an enhanced knowledge representation approach and Delphi method has been developed. From the experimental results, it is found that the teachers involved had a high degree of acceptance of the system. They believe that it can unify the knowledge of many teachers.


2010 ◽  
Vol 54 (2) ◽  
pp. 404-415 ◽  
Author(s):  
Gwo-Jen Hwang ◽  
Fan-Ray Kuo ◽  
Peng-Yeng Yin ◽  
Kuo-Hsien Chuang

2019 ◽  
Vol 7 (6) ◽  
pp. 41-44 ◽  
Author(s):  
Elena Shirinkina

The relevance of the study is due to the fact that building an adaptive educational system that responds to environmental changes and creating the conditions for implementing individual (personalized) learning paths becomes a key challenge for modern education. The article analyzes the use of artificial intelligence in the training of employees of the enterprise, presents the benefits and experience of implementation in enterprises. It was determined that training with the help of artificial intellectualization is a deeper transformation of the entire learning process, the use of new digital tools to rethink how to teach in order to be modern. The principles developed within the framework of the proposed approach are the direction of changes in the education system.


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