Электронная книга: Samira ElAtia «Data Mining and Learning Analytics. Applications in Educational Research»
|
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 mandates. 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 closingsocioeconomic 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 learningAddresses 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 learningand 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. Издательство: "John Wiley&Sons Limited"
ISBN: 9781118998229 электронная книга Купить за 10038.89 руб и скачать на Litres |
Другие книги схожей тематики:
| Автор | Книга | Описание | Год | Цена | Тип книги |
|---|
См. также в других словарях:
Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… … Wikipedia
Weka (machine learning) — Infobox Software name = Weka caption = Weka 3.5.5 with Explorer window open with Iris UCI dataset developer = University of Waikato latest release version = 3.4.13 (book), 3.5.8 (developer) latest release date = July 16, 2008 operating system =… … Wikipedia
Exploration de données — Articles principaux Exploration de données Fouille de données spatiales Fouille du web Fouille de flots de données Fouille de textes … Wikipédia en Français
education — /ej oo kay sheuhn/, n. 1. the act or process of imparting or acquiring general knowledge, developing the powers of reasoning and judgment, and generally of preparing oneself or others intellectually for mature life. 2. the act or process of… … Universalium
Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… … Wikipedia
Content analysis — or textual analysis is a methodology in the social sciences for studying the content of communication. Earl Babbie defines it as the study of recorded human communications, such as books, websites, paintings and laws. According to Dr. Farooq… … Wikipedia
