Prediction of learning disorder: a-systematic review
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...
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Springer Nature
2019
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iium-783322020-02-11T08:10:43Z http://irep.iium.edu.my/78332/ Prediction of learning disorder: a-systematic review Jamhar, Mohammad Azli Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita Abdullah, Noryusliza , T Technology (General) 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. Springer Nature 2019-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78332/1/78332_Prediction%20of%20Learning%20Disorder_new.pdf application/pdf en http://irep.iium.edu.my/78332/2/78332_Prediction%20of%20Learning%20Disorder_scopus.pdf Jamhar, Mohammad Azli and Mat Surin, Ely Salwana and Zulkifli, Zahidah and Mat Nayan, Norshita and Abdullah, Noryusliza and UNSPECIFIED (2019) Prediction of learning disorder: a-systematic review. In: "6th International Conference on Advances in Visual Informatics, IVIC 2019", 19 - 21 November 2019, Bangi selangor. https://link.springer.com/chapter/10.1007%2F978-3-030-34032-2_38 10.1007/978-3-030-34032-2_38 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Jamhar, Mohammad Azli Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita Abdullah, Noryusliza , Prediction of learning disorder: a-systematic review |
| description |
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. |
| format |
Conference or Workshop Item |
| author |
Jamhar, Mohammad Azli Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita Abdullah, Noryusliza , |
| author_facet |
Jamhar, Mohammad Azli Mat Surin, Ely Salwana Zulkifli, Zahidah Mat Nayan, Norshita Abdullah, Noryusliza , |
| author_sort |
Jamhar, Mohammad Azli |
| title |
Prediction of learning disorder: a-systematic review |
| title_short |
Prediction of learning disorder: a-systematic review |
| title_full |
Prediction of learning disorder: a-systematic review |
| title_fullStr |
Prediction of learning disorder: a-systematic review |
| title_full_unstemmed |
Prediction of learning disorder: a-systematic review |
| title_sort |
prediction of learning disorder: a-systematic review |
| publisher |
Springer Nature |
| publishDate |
2019 |
| url |
http://irep.iium.edu.my/78332/ http://irep.iium.edu.my/78332/ http://irep.iium.edu.my/78332/ http://irep.iium.edu.my/78332/1/78332_Prediction%20of%20Learning%20Disorder_new.pdf http://irep.iium.edu.my/78332/2/78332_Prediction%20of%20Learning%20Disorder_scopus.pdf |
| first_indexed |
2023-09-18T21:50:22Z |
| last_indexed |
2023-09-18T21:50:22Z |
| _version_ |
1777413729038630912 |