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|3 10.33948/0584-031-001-004
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|a eng
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|b السعودية
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|a Yahya, Anwar Ali
|e Author
|9 426180
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| 245 |
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|a Swarm Intelligence Based Approach For Educational Data Classification
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| 260 |
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|b جامعة الملك سعود
|c 2019
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| 300 |
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|a 35 - 51
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|a بحوث ومقالات
|b Article
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|b This paper explores the effectiveness of Particle Swarm Classification (PSC) for a classification task in the field of educational data mining. More specifically, it proposes PSC to design a classification model capable of classifying questions into the six cognitive levels of Bloom’s taxonomy. To this end, this paper proposes a novel specialized initialization mechanism based on Rocchio Algorithm (RA) to mitigate the adverse effects of the curse of dimensionality on the PSC performance. Furthermore, in the design of the RA-based PSC model of questions classification, several feature selection approaches are investigated. In doing so, a dataset of teachers’ classroom questions was collected, annotated manually with Bloom’s cognitive levels, and transformed into a vector space representation. Using this dataset, several experiments are conducted, and the results show a poor performance of the standard PSC due to the curse of dimensionality. However, when the proposed RA-based initialization mechanism is used, a significant improvement in the average performance, from 0.243 to 0.663, is obtained. In addition, the results indicate that the feature selection approaches play a role in the performance of the RA-based PSC (average performance ranges from 0.535 to 0.708). Finally, a comparison between the performance of RA-based PSC (average performance = 0.663) and seven machine learning approaches (best average performance = 0.646) confirms the effectiveness of the proposed RA-based PSC approach. © 2017 The Author. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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| 653 |
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|a الخوارزميات
|a خوارزمية روشيو
|a تصنيف بلوم
|a التعلم الإلكتروني
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| 692 |
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|b Particle Swarm Classification
|b Rocchio Algorithm
|b Educational Data Mining
|b Questions Classification
|b Bloom’s Taxonomy
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| 773 |
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|c 004
|e Journal of King Saud University (Computer and Information Sciences)
|f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat
|l 001
|m مج31, ع1
|o 0584
|s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
|v 031
|x 1319-1578
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| 856 |
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|u 0584-031-001-004.pdf
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| 930 |
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|d y
|p y
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| 995 |
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|a science
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| 999 |
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|c 974537
|d 974537
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