Test-sheet Composition Using Cellular Genetic Algorithm with an Improved 
 Evolutionary Rule

The use of web-based education and e-learning environments has increased with the developments in educational technology. Schools, universities, public institutions, and other private sector companies started deploying these systems to train their students, members, and employees. Exams are carried out during the evaluation process of these trainings. Web-based tests are sometimes used for these exams. When there are so many questions about the same topic, it is a time-consuming and difficult problem to prepare these exams in terms of the best quality, quickly and effectively. In order to overcome this issue, artificial intelligence techniques are utilized as well as conventional methods for producing test papers. In this study, an Intelligent Question Evaluation and Selection Software (I-QUESS), that enables the selection of questions according to desired preferences by using Fuzzy Analytic Hierarchy Process (FAHP) and genetic algorithm (GA) as hybrid, was developed. This proposed hybrid system was used in a case study to create test sheet for web-based environments.

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A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

İnce

Yi̇ği̇t

Işık

2020

Int. J. Info. Tech. Dec. Mak.

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Test-sheet Composition Using Cellular Genetic Algorithm with an Improved Evolutionary Rule

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A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

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