Automatic Leveling System for E-Learning Examination Pool Using Entropy-Based Decision Tree

Cheng, Shu-Chen; Huang, Yueh‐Min; Chen, Juei-Nan; Lin, Yen-Ting

doi:10.1007/11528043_27

Cited by 22 publications

(9 citation statements)

References 3 publications

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“…The students can get a higher score when they tested for many times. Another shortcoming is the randomness of difficulty level of test, although many selection algorithms [2] can be used to control it. The difficulty level of test cannot be same for each time.…”

Section: System Innovationmentioning

confidence: 99%

The Application of Intelligent Learning System Based on Network

Zhang¹,

Fang²

2008

2008 International Conference on Computational Intelligence and Security

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This article introduces a new intelligent online test system, whose obvious difference with the traditional test system is that this test system does not based on the question bank, all test questions are produced automatically by questions-providing algorithm, providing explanation process of test question automatically by questions-solving algorithm simultaneously. The test questions that the system provides to different users are various, but the difficulty level of test questions is the same. The application of this system in many universities shows that it is easy to operate and communicate interactively, which can stimulate study interests and help students to improve academic record effectively.

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Section: System Innovationmentioning

confidence: 99%

The Application of Intelligent Learning System Based on Network

Zhang¹,

Fang²

2008

2008 International Conference on Computational Intelligence and Security

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“…The results database is analysed by data mining and continually monitored in order to track the success rate of the different concepts addressed in the exam. If a particular concept is detected to be too difficult (a local minima during the data mining is identified), then the exam generator is instructed to go further, presenting questions with fine details to other students in order to identify the concept that has not been properly understood (Cheng et al, 2005). The examination tool has been implemented as a web application employing HTML and JavaScript.…”

Section: Examination Tool Examplementioning

confidence: 99%

Data Mining in Higher Education

Llorente¹,

Morant²

2011

New Fundamental Technologies in Data Mining

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“…Based on this analysis, the teachers can offer more relevant suggestions to facilitate improved learning. To date, a variety of CBT systems have been developed, which focus on several topics such as item bank of examination (Cheng, Huang, Chen, & Lin, 2005;He & Tymms, 2005), test sheet generation (Hwang, Yin, & Yeh, 2006;Meng, Ye, Roy, & Padilla, 2007), and so on.…”

Section: Introductionmentioning

confidence: 99%