Arman Raj, Vandana Sharma, S. Rani, B. Balusamy, Ankit Kumar Shanu, A. Alkhayyat
{"title":"利用大数据揭示基于人工智能的教育技术工具","authors":"Arman Raj, Vandana Sharma, S. Rani, B. Balusamy, Ankit Kumar Shanu, A. Alkhayyat","doi":"10.1109/ICIPTM57143.2023.10118162","DOIUrl":null,"url":null,"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.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revealing AI-Based Ed-Tech Tools Using Big Data\",\"authors\":\"Arman Raj, Vandana Sharma, S. Rani, B. Balusamy, Ankit Kumar Shanu, A. Alkhayyat\",\"doi\":\"10.1109/ICIPTM57143.2023.10118162\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":178817,\"journal\":{\"name\":\"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIPTM57143.2023.10118162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIPTM57143.2023.10118162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.