Automatic Generation of Question Paper from User Entered Specifications Using a Semantically Tagged Question Repository

Nalawade, Gauri; Ramesh, Rekha

doi:10.1109/t4e.2016.038

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…• Gauri Nalawade, Rekha Ramesh [10] within the display private enterprises world, the exams is creating a vital part in for checking mental development their understudies. In reality their quality understudies their exam by the address for their specific educate.…”

Section: Literature Survey A)mentioning

confidence: 99%

Automatic Question Paper Generation using ML: A Review

Dhomse¹

2021

TURCOMAT

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In any instructive field educational programs, the courses are characterized with learning goals. It is exceptionally challenging for the instructors to create Question Papers with changed questions. There's no standardizing strategy to guarantee quality of question paper. Consequently, there arises a have to be have a framework which can consequently produce it from we entered information inside few seconds. It’s basic to specify tests and exams, it plans understudies in their journey for information, so having a legitimate examination paper & organize is essential. Now the traditional strategy of producing address paper has been manual and it is exceptionally time and cost expending to diminish these things we developed this framework which is able make the programmed address paper and this it can be valuable to numerous instructive establishing.

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Section: Literature Survey A)mentioning

confidence: 99%

Automatic Question Paper Generation using ML: A Review

Dhomse¹

2021

TURCOMAT

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“…Automatic Generation of Question Paper from User Entered Specifications Using a Semantically Tagged Question Repository [4] this is flexible software which supports set of tags such as cognitive level, difficulty level, type of question, content /topic for defining a question etc. The proposed question paper is generated in xml format and Microsoft Word Document.…”

Section: Literature Surveymentioning

confidence: 99%

Keyword based Shuffling Algorithm for Question Paper Generator

Naglot¹,

Gaikwad²,

Gaikwad³

et al. 2018

IJCA

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Teaching by teachers and learning skills or acquiring knowledge by students bind together to apply learning what we call is evaluation of students which has been conducting through exams. Examinations play an important role in student's assessment. Exams assess the performance of student which requires question papers to be generated manually which consumes a lot of time. It is a challenging and tedious task for teachers to manually prepare question papers. In the proposed system we have generated question papers automatically with ease. Teachers can store questions of their subjects respectively. Admin can stock questions for generating question paper of respective subjects. The system stores a set of different questions with keyword which will help in setting question paper. The proposed system fetches questions based on keyword stored in database. The system also checks for diagrams if present in question and then accordingly fetches particular diagram from database. We have implemented keyword based shuffling algorithm through randomization technique to automatically generate question paper. This system rejuvenates generation of automatic question paper for Dr. Babasaheb Ambedkar Marathwada University (BAMU) in a short span of duration. This system helps to generate class test paper as well. The proposed system allows maintaining coverage of whole syllabus. This system upgrades quality of question paper to set a standard of examination.

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