文件名称:
Data.Mining.and.Learning.Analytics.Applications.in.Educational.Research
开发工具:
文件大小: 6mb
下载次数: 0
上传时间: 2016-12-16
详细说明： Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational man dates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research. Table of Contents Part I At The Intersection Of Two Fields: Edm Chapter 1 Educational Process Mining: A Tutorial And Case Study Using Moodle Data Sets Chapter 2 On Big Data And Text Mining In The Humanities Chapter 3 Finding Predictors In Higher Education Chapter 4 Educational Data Mining: A Mooc Experience Chapter 5 Data Mining And Action Research Part II Pedagogical Applications Of Edm Chapter 6 Design Of An Adaptive Learning System And Educational Data Mining Chapter 7 The “Geometry” Of Naïve Bayes: Teaching Probabilities By “Drawing” Them Chapter 8 Examining The Learning Networks Of A Mooc Chapter 9 Exploring The Usefulness Of Adaptive Elearning Laboratory Environments In Teaching Medical Science Chapter 10 Investigating Co-Occurrence Patterns Of Learners’ Grammatical Errors Across Proficiency Levels And Essay Topics Based On Association Analysis Part III Edm And Educational Research Chapter 11 Mining Learning Sequences In Moocs: Does Course Design Constrain Students’ Behaviors Or Do Students Shape Their Own Learning? Chapter 12 Understanding Communication Patterns In Moocs: Combining Data Mining And Qualitative Methods Chapter 13 An Example Of Data Mining: Exploring The Relationship Between Applicant Attributes And Academic Measures Of Success In A Pharmacy Program Chapter 14 A New Way Of Seeing: Using A Data Mining Approach To Understand Children’S Views Of Diversity And “Difference” In Picture Books Chapter 15 Data Mining With Natural Language Processing And Corpus Linguistics: Unlocking Access To School Children’S Language In Diverse Contexts To Improve Instructional And Assessment Practices ...展开收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
