Semantics based information representations such as ontologies are found to be very useful in repeatedly generating important factual questions. Formative the difficulty level Of these system generated questions is helpful to successfully make use of them in various learning and specialized applications. The accessible approaches for result the difficulty level of factual questions are very simple and are limited to a few basic principles. We suggest a new tactic for this problem by considering an edifying theory called Item Response Theory IRT . In the IRT, facts skill of end users learners are considered for assigning difficulty levels, because of the assumptions that a given question is apparent differently by learners of various proficiencies. We have done a detailed study on the features factors of a question statement which could perhaps determine its difficulty level for three learner categories experts, intermediates, and easy . Ayesha Pathan | Dr. Pravin Futane "Comparative Study of Different Approaches for Measuring Difficulty Level of Question" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21532.pdf
%0 Journal Article
%1 noauthororeditor
%A Futane, Ayesha Pathan | Dr. Pravin
%D 2019
%J International Journal of Trend in Scientific Research and Development
%K Automatic Computer Difficulty Engineering Generation Item Question Quiz Ranking Semantic Similarity estimation generation level response theory
%N 3
%P 88-90
%R https://doi.org/10.31142/ijtsrd21532
%T Comparative Study of Different Approaches for Measuring Difficulty Level of Question
%U https://www.ijtsrd.com/engineering/computer-engineering/21532/comparative-study-of-different-approaches-for-measuring-difficulty-level-of-question/ayesha-pathan
%V 3
%X Semantics based information representations such as ontologies are found to be very useful in repeatedly generating important factual questions. Formative the difficulty level Of these system generated questions is helpful to successfully make use of them in various learning and specialized applications. The accessible approaches for result the difficulty level of factual questions are very simple and are limited to a few basic principles. We suggest a new tactic for this problem by considering an edifying theory called Item Response Theory IRT . In the IRT, facts skill of end users learners are considered for assigning difficulty levels, because of the assumptions that a given question is apparent differently by learners of various proficiencies. We have done a detailed study on the features factors of a question statement which could perhaps determine its difficulty level for three learner categories experts, intermediates, and easy . Ayesha Pathan | Dr. Pravin Futane "Comparative Study of Different Approaches for Measuring Difficulty Level of Question" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21532.pdf
@article{noauthororeditor,
abstract = {Semantics based information representations such as ontologies are found to be very useful in repeatedly generating important factual questions. Formative the difficulty level Of these system generated questions is helpful to successfully make use of them in various learning and specialized applications. The accessible approaches for result the difficulty level of factual questions are very simple and are limited to a few basic principles. We suggest a new tactic for this problem by considering an edifying theory called Item Response Theory IRT . In the IRT, facts skill of end users learners are considered for assigning difficulty levels, because of the assumptions that a given question is apparent differently by learners of various proficiencies. We have done a detailed study on the features factors of a question statement which could perhaps determine its difficulty level for three learner categories experts, intermediates, and easy . Ayesha Pathan | Dr. Pravin Futane "Comparative Study of Different Approaches for Measuring Difficulty Level of Question" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21532.pdf
},
added-at = {2019-06-06T07:57:47.000+0200},
author = {Futane, Ayesha Pathan | Dr. Pravin},
biburl = {https://www.bibsonomy.org/bibtex/20423efd381ff833499cfc31b905ac102/ijtsrd},
doi = {https://doi.org/10.31142/ijtsrd21532},
interhash = {85593e408e0879b21122000c0f19c0be},
intrahash = {0423efd381ff833499cfc31b905ac102},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {Automatic Computer Difficulty Engineering Generation Item Question Quiz Ranking Semantic Similarity estimation generation level response theory},
language = {English},
month = {April},
number = 3,
pages = {88-90},
timestamp = {2019-06-06T07:57:47.000+0200},
title = {Comparative Study of Different Approaches for Measuring Difficulty Level of Question
},
url = {https://www.ijtsrd.com/engineering/computer-engineering/21532/comparative-study-of-different-approaches-for-measuring-difficulty-level-of-question/ayesha-pathan},
volume = 3,
year = 2019
}