Revealing AI-Based Ed-Tech Tools Using Big Data

Arman Raj, Vandana Sharma, S. Rani, B. Balusamy, Ankit Kumar Shanu, A. Alkhayyat
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Abstract

Big Data has influenced almost every sector such as banking, agriculture, Healthcare, Manufacturing and Natural Resources, Government, Communication, Entertainment Industry, Insurance and Education. Moreover, applications of Big Data especially in education sector have been exponentially increased. Big Data is currently a buzzword in both educational sector with the term being used to describe a wide range of concepts, ranging from extricating data from outside sources, storing and properly managing it and to processing it such data with inquisitive methods and tools. Big Data has significantly helped to improve Technology Enabled Learning (TEL) and Outcome Based Education (OBE). With the proliferation in these, AI-based Ed-Tech tools in Big Data, TEL has able to elongate and enhanced personalized learning. The numerous challenges faced by Ed-tech tools are data privacy issues, data quality issues, data storage issues and data analysis issues. In this paper, authors have presented a comprehensive review on AI based Ed-Tech tools using Big Data on parameters like size limit, data loading, Type of Data, user-interface and features.
利用大数据揭示基于人工智能的教育技术工具
大数据几乎影响了银行、农业、医疗保健、制造业和自然资源、政府、通信、娱乐行业、保险和教育等各个领域。此外,大数据在教育领域的应用也呈指数级增长。大数据目前是教育领域的一个流行词,这个词被用来描述广泛的概念,从从外部来源提取数据,存储和适当管理数据,到用好奇的方法和工具处理这些数据。大数据极大地改善了技术支持学习(TEL)和基于结果的教育(OBE)。随着这些基于人工智能的教育技术工具在大数据领域的扩散,TEL能够延长和增强个性化学习。教育技术工具面临的众多挑战包括数据隐私问题、数据质量问题、数据存储问题和数据分析问题。在本文中,作者全面回顾了基于AI的Ed-Tech工具使用大数据的参数,如大小限制,数据加载,数据类型,用户界面和功能。
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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