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Author: George Siemens
Publisher:
Published: 2011-02-27
Total Pages:
ISBN-13: 9781450310574
DOWNLOAD EBOOK1st International Conference on Learning Analytics and Knowledge Feb 27, 2011-Mar 01, 2011 Banff, Canada. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author: Phillip Long
Publisher:
Published: 2011-02-27
Total Pages: 195
ISBN-13: 9781450309448
DOWNLOAD EBOOK1st International Conference on Learning Analytics and Knowledge Feb 27, 2011-Mar 01, 2011 Banff, Canada. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author: Tutut Herawan
Publisher: Springer Science & Business Media
Published: 2013-12-14
Total Pages: 728
ISBN-13: 9814585181
DOWNLOAD EBOOKThe proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence
Author: Samira ElAtia
Publisher: John Wiley & Sons
Published: 2016-09-20
Total Pages: 351
ISBN-13: 1118998219
DOWNLOAD EBOOKAddresses 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 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.
Author: Johann Ari Larusson
Publisher: Springer
Published: 2014-07-04
Total Pages: 203
ISBN-13: 1461433053
DOWNLOAD EBOOKIn education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.
Author: Laurie O. Campbell
Publisher: Academic Conferences and publishing limited
Published: 2017
Total Pages: 327
ISBN-13: 1911218360
DOWNLOAD EBOOKAuthor: Hani Hamdan
Publisher:
Published: 2017-10-17
Total Pages:
ISBN-13: 9781450352437
DOWNLOAD EBOOKInternational Conference on Internet of Things and Machine Learning Oct 17, 2017-Oct 18, 2017 Liverpool, United Kingdom. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author: Miguel Felix Mata-Rivera
Publisher: Springer Nature
Published: 2019-10-24
Total Pages: 376
ISBN-13: 3030332292
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed proceedings of the 8th International Congress on Telematics and Computing, WITCOM 2019, held in Merida, Mexico, in November 2019. The 31 full papers presented in this volume were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections: GIS & climate change; telematics & electronics; artificial intelligence & machine learning; software engineering & education; internet of things; and informatics security.
Author: Martin Ebner
Publisher: Springer
Published: 2015-07-31
Total Pages: 146
ISBN-13: 3319220179
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 4th European Immersive Education Summit, EiED 2014, held in Vienna, Austria, in November 2014. The 11 revised full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on innovation and technological advancements in e-learning; immersive and emerging technologies for cultural and digital heritage.
Author:
Publisher:
Published: 2019
Total Pages:
ISBN-13: 9781450362566
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