Automated Questions Unique Arrangement (A.Q.U.A)

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Akanksha Sharma
Saket Savarn
Adarsh Anand
Sunil Kumar S. Manvi

Abstract


With the world digitizing and moving at a fast pace, framing questions for examinations or learning is a time-consuming process and requires a lot of critical thinking. Questions we solve in the exams, for instance, school and college level examinations, are similar to the last year papers and contain repeated questions with little or no paraphrasing or modifications. Educators spend a significant amount of time in preparing question papers to come up with creative brainstorming questions. Automation has become a vital aspect of life. New technologies are coming up every day to minimize manual work and make everything automated with just a click. Considering the present pandemic scenario, education is now internet based and exams are being conducted online. Most of the examinations are based on multiple choice questions and these questions are, in most cases, taken from popular quizzing websites. This practice makes it easier for students to find the correct answer without even studying the subject and increases malpractices. We propose an automatic solution to the issue of making questions that will save time and energy and also promote proper learning with our model “A.Q.U.A – Automated Questions Unique Arrangement. It is a machine learning model that uses transformers for natural language processing and generating meaningful and understandable questions from the given context. A.Q.U.A will be of great use in online assessments , school level and university level exams, as well as competitive exams. It’ll be also helpful for students and learners to take practise tests for a topic and evaluate their knowledge in it.

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How to Cite
Akanksha Sharma, Saket Savarn, Adarsh Anand, & Sunil Kumar S. Manvi. (2023). Automated Questions Unique Arrangement (A.Q.U.A). Journal of Advanced Zoology, 44(S6), 747–756. https://doi.org/10.17762/jaz.v44iS6.2287
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