Personalized learning materials for children with special needs using machine learning

Likhan Banik, Monir Bhuiyan, Azmery Jahan
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引用次数: 8

Abstract

Children with neurological disorder such as autism need personalized development system for their daily activities. Technology can play a significant role. This paper introduces a research to deliver personalized learning materials for children with special needs based on diverse characteristics of children. There are four parts of the system: i) identifying level of the user by using machine learning algorithm. ii) web mining to generate multimodal learning materials from text story or learning keywords, iii) linking user preferences and IoT enabled sensor data with the result, iv) personalizing contents for users delineated with an intelligent interface. This paper explains personalization of results using machine learning algorithm.
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使用机器学习为有特殊需要的儿童提供个性化学习材料
自闭症等神经障碍儿童的日常活动需要个性化的发展系统。技术可以发挥重要作用。本文介绍了一项针对不同儿童特点,为特殊需要儿童提供个性化学习材料的研究。该系统分为四个部分:i)使用机器学习算法识别用户的级别。ii)网络挖掘,从文本故事或学习关键词中生成多模态学习材料;iii)将用户偏好和支持物联网的传感器数据与结果联系起来;iv)通过智能界面为用户描述个性化内容。本文解释了使用机器学习算法实现结果的个性化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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