Paper Title

EARLY DIAGNOSIS OF SPECIFIC LEARNING DISABILITY USING DECISION TREE ALGORITHM

Article Identifiers

Registration ID: IJNRD_217366

Published ID: IJNRD2404110

DOI: Click Here to Get

Authors

Ansira Fathima M , Mr.Pramod K

Keywords

Specific Learning Disability, Decision Tree Algorithm, Dyslexia, Dysgraphia, Dyscalculia.

Abstract

A child's cognitive capacities, text comprehension, reading and writing skills, and ability to solve problems might be affected by a learning limitation, which is a specific sort of a learning impairment (neurodevelopmental disease). Specific learning disabilities (SLD) is intellectual disabilities which primarily impact a student's academic performance. Specifically, dyslexia, dysgraphia, and dyscalculia are problems with reading, writing, and math. These students should be identified at an early stage so that they can receive the right help and build their disability skills while gaining sufficient expertise with a particular task. The testing scale tool has been developed as a means of diagnosing the SLD. With the use of the suggested instrument, students who may have SLD can take the quiz. Certain test questions are repeated three times depending on the kind of learning disability. The decision tree algorithm gathers their results after the test is over. The decision tree algorithm predicts kids who possess learning impairments on the basis of their score and time. The suggested method is used to create an integrated, easy to use mechanism that can be quite precise in recognizing issues related to reading, writing, and math. It also suggests the best ways to instruct parents and instructors.

How To Cite

"EARLY DIAGNOSIS OF SPECIFIC LEARNING DISABILITY USING DECISION TREE ALGORITHM", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b67-b72, April-2024, Available :https://ijnrd.org/papers/IJNRD2404110.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : b67-b72

Other Publication Details

Paper Reg. ID: IJNRD_217366

Published Paper Id: IJNRD2404110

Downloads: 000121136

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404110.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404110

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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