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Titlebook: Modern Approach to Educational Data Mining and Its Applications; Soni Sweta Book 2021 The Author(s), under exclusive license to Springer N

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發(fā)表于 2025-3-21 17:56:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Modern Approach to Educational Data Mining and Its Applications
編輯Soni Sweta
視頻videohttp://file.papertrans.cn/637/636923/636923.mp4
概述Discusses learning efficiency of the learners by providing personalized course materials.Examines impacts of speeding up of the learning process qualitatively and quantitatively.Explains how informati
叢書(shū)名稱SpringerBriefs in Applied Sciences and Technology
圖書(shū)封面Titlebook: Modern Approach to Educational Data Mining and Its Applications;  Soni Sweta Book 2021 The Author(s), under exclusive license to Springer N
描述This book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system. Learning is a continuous process since human evolution. In fact, it is related to life and innovations. The basic objective of learning to grow, aspire and develop ease of life remains the same despite changes in the learning methodologies. Introduction of computers empowered us to attain new zenith in knowledge domain, developed pragmatic approach to solve life’s problem and helped us to decipher different hidden patterns of data to get new ideas. Of late, computers are predominantly used in education. Its process has been changed from offline to online in view of enhancing the ease of learning. With the advent of information technology, e-learning has taken centre stage in educational domain. In e-learning context, developing adaptive e-learning system is buzzword among contemporary research scholars in the area of Educational Data Mining (
出版日期Book 2021
關(guān)鍵詞Educational Data Mining; Adaptive E-Learning; Learning Analytics; Cognitive Factor; Learninggap; Intellig
版次1
doihttps://doi.org/10.1007/978-981-33-4681-9
isbn_softcover978-981-33-4680-2
isbn_ebook978-981-33-4681-9Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Modern Approach to Educational Data Mining and Its Applications978-981-33-4681-9Series ISSN 2191-530X Series E-ISSN 2191-5318
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Soni SwetaDiscusses learning efficiency of the learners by providing personalized course materials.Examines impacts of speeding up of the learning process qualitatively and quantitatively.Explains how informati
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https://doi.org/10.1007/978-981-33-4681-9Educational Data Mining; Adaptive E-Learning; Learning Analytics; Cognitive Factor; Learninggap; Intellig
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