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Smartrevision kit: A KNN-based mobile and web revision toolkit for primary school pupils

机译:Smartrevision套件:面向小学生的基于KNN的移动和网络修订工具套件

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Information and Communication Technologies (ICTs) today permeate every aspect of our lives including the education system. To this effect, a number of Education Management Information Systems (EMIS) have been developed and put to use especially in the developed nations. However, many developing countries, especially in sub-Saharan Africa and South East Asia, are yet to fully exploit the potential of these EMIS(s). Successful management of today's education systems requires effective policy-making and system monitoring through data and information. However, in many cases, EMIS design and development has been limited to information technology enhancements, and/or data storage and maintenance, with insufficient attention paid to data utilization for policy decisions. This paper proposes a simple revision toolkit whose power is in the utilization of data by applying fundamental artificial Intelligence technique known as K-Nearest Neighbour (KNN) classifiers to enhance utilization of EMIS in delivering the right content to students based on their abilities and also giving their instructors (teachers) a data driven insight into what subjects/sub-topics are posing challenges to students.
机译:今天,信息和通信技术(ICT)渗透到我们生活的方方面面,包括教育系统。为此,已经开发并使用了许多教育管理信息系统(EMIS),尤其是在发达国家中。但是,许多发展中国家,尤其是撒哈拉以南非洲和东南亚国家,尚未充分开发这些EMIS的潜力。当今教育系统的成功管理需要通过数据和信息进行有效的政策制定和系统监控。但是,在许多情况下,EMIS的设计和开发仅限于信息技术的增强和/或数据的存储和维护,而对于决策的数据利用却没有给予足够的重视。本文提出了一种简单的修订工具包,其功能是通过应用称为K-Nearest Neighbor(KNN)分类器的基本人工智能技术来增强数据管理系统的利用率,从而根据学生的能力向学生提供正确的内容,并提供他们的老师(老师)以数据为依据,了解哪些主题/子主题对学生构成了挑战。

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