2020
DOI: 10.1142/s0219649220400080
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A New Automated Forms Generation Algorithm for Online Assessment

Abstract: Modern learning techniques require technologies to be embedded within the process. The assessment strategy of testing students has been developed through the past few decades and have presented online computer-based examination systems as a replacement for the conventional paper-based testing. However, a major challenge that is still faced by those examination systems is that there is no any guarantee that students sitting adjacently will have different questions or forms, and the questions of exams’ form are … Show more

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Cited by 5 publications
(2 citation statements)
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“…Guo (2022) examined the neural network and machine learning-based examination recommendation method. Albazar (2020) addressed the design issue where there is a problem with the online examination system in that student seated next to each other do not receive separate question paper formats. This study offers an online assessment system that is capable of efficiently producing distinct exams and forms for nearby terminals.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Guo (2022) examined the neural network and machine learning-based examination recommendation method. Albazar (2020) addressed the design issue where there is a problem with the online examination system in that student seated next to each other do not receive separate question paper formats. This study offers an online assessment system that is capable of efficiently producing distinct exams and forms for nearby terminals.…”
Section: Review Of Literaturementioning
confidence: 99%
“…(7) However, the electronic-examination has certain drawbacks as consuming more time from the teachers to prepare the exam. (8) Also, the possibility for technical problems including internet connectivity and platforms efficacy and in appropriateness of such exams to evaluate practical skills. In addition, concerns regarding the academic dishonesty have been recently raised.…”
Section: Introductionmentioning
confidence: 99%