| 书目名称 | Modern Approach to Educational Data Mining and Its Applications | | 编辑 | Soni Sweta | | 视频video | | | 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 | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 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 | | 关键词 | Educational Data Mining; Adaptive E-Learning; Learning Analytics; Cognitive Factor; Learninggap; Intellig | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-33-4681-9 | | isbn_softcover | 978-981-33-4680-2 | | isbn_ebook | 978-981-33-4681-9Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 |
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发表于 2025-3-21 17:56:15
