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Using Machine Learning to Help Students with Learning Disabilities Learn

  • Francis DcruzEmail author
  • Vijitashw Tiwari
  • Mayur Soni
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 39)

Abstract

The concept behind this learning modal is to connect education with technology to meet the different needs of each student. The main aim of personalized learning is to help students with disabilities.

Students with a disability often need subject matter presented through different methods, therefore it is imperative that these technological advances benefit all students with different learning styles. Machine Learning opens up new ways to help students with disabilities. Children with autism which is a neurological disorder need a personalized development system for their daily activities. Technology can play a substantial part.

The system includes 4 parts: (i) To predict the learning level of the user. (ii) Generating multimodal learning materials using web mining. (iii) User preferences are associated with the result. (iv) Personalized contents for users delineated with an intelligent interface.

Keywords

Multimodal learning material Special Needs Children Web mining Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer EngineeringSt. Francis Institute of TechnologyMumbaiIndia

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