Prediction of learning disorder: A-systematic review

Mohammad Azli Jamhar, Ely Salwana, Zahidah Zulkifli, Norshita Mat Nayan, Noryusliza Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Learning Disorder refers to a number of disorder which may influence the understanding or use of verbal or nonverbal information. The most well-known types of learning disorder involve an issue with reading, writing, listening, and speaking. When we talk about learning disorder, most people only focusing on social development plan. Therefore, in this study, a systematic review was performed to identify, assess and aggregate on the prediction methods used for a predict learning disorder. The main objective of this paper is to, identify the most common prediction methods for learning disorder, in terms of accuracy by using the systematic review technique. From the main objective, we can define the research questions such as, which is the most common and the most accurate prediction methods used for learning disorder. In conclusion, the most common prediction methods for learning disorder which is Decision Tree and Support Vector Machine. For accuracy, Decision Tree, Linear Discriminant Analysis and K-Nearest Neighbor methods have the highest prediction accuracy for a learning disorder. From these findings, this paper can guide others to predict learning disorder by using the most common methods to get the best result in term of accuracy.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings
EditorsHalimah Badioze Zaman, Nazlena Mohamad Ali, Mohammad Nazir Ahmad, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi
PublisherSpringer
Pages429-440
Number of pages12
ISBN (Print)9783030340315
DOIs
Publication statusPublished - 1 Jan 2019
Event6th International Conference on Advances in Visual Informatics, IVIC 2019 - Bangi, Malaysia
Duration: 19 Nov 201921 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11870 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Advances in Visual Informatics, IVIC 2019
CountryMalaysia
CityBangi
Period19/11/1921/11/19

Fingerprint

Disorder
Prediction
Decision trees
Discriminant analysis
Decision tree
Support vector machines
Learning
Review
Nearest Neighbor Method
Predict
Discriminant Analysis
Decision Support
Support Vector Machine
Term

Keywords

  • Data mining
  • Learning disorder
  • Prediction model
  • Systematic review

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Jamhar, M. A., Salwana, E., Zulkifli, Z., Nayan, N. M., & Abdullah, N. (2019). Prediction of learning disorder: A-systematic review. In H. Badioze Zaman, N. Mohamad Ali, M. N. Ahmad, A. F. Smeaton, T. K. Shih, S. Velastin, & T. Terutoshi (Eds.), Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings (pp. 429-440). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11870 LNCS). Springer. https://doi.org/10.1007/978-3-030-34032-2_38

Prediction of learning disorder : A-systematic review. / Jamhar, Mohammad Azli; Salwana, Ely; Zulkifli, Zahidah; Nayan, Norshita Mat; Abdullah, Noryusliza.

Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. ed. / Halimah Badioze Zaman; Nazlena Mohamad Ali; Mohammad Nazir Ahmad; Alan F. Smeaton; Timothy K. Shih; Sergio Velastin; Tada Terutoshi. Springer, 2019. p. 429-440 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11870 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jamhar, MA, Salwana, E, Zulkifli, Z, Nayan, NM & Abdullah, N 2019, Prediction of learning disorder: A-systematic review. in H Badioze Zaman, N Mohamad Ali, MN Ahmad, AF Smeaton, TK Shih, S Velastin & T Terutoshi (eds), Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11870 LNCS, Springer, pp. 429-440, 6th International Conference on Advances in Visual Informatics, IVIC 2019, Bangi, Malaysia, 19/11/19. https://doi.org/10.1007/978-3-030-34032-2_38
Jamhar MA, Salwana E, Zulkifli Z, Nayan NM, Abdullah N. Prediction of learning disorder: A-systematic review. In Badioze Zaman H, Mohamad Ali N, Ahmad MN, Smeaton AF, Shih TK, Velastin S, Terutoshi T, editors, Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. Springer. 2019. p. 429-440. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-34032-2_38
Jamhar, Mohammad Azli ; Salwana, Ely ; Zulkifli, Zahidah ; Nayan, Norshita Mat ; Abdullah, Noryusliza. / Prediction of learning disorder : A-systematic review. Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. editor / Halimah Badioze Zaman ; Nazlena Mohamad Ali ; Mohammad Nazir Ahmad ; Alan F. Smeaton ; Timothy K. Shih ; Sergio Velastin ; Tada Terutoshi. Springer, 2019. pp. 429-440 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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