Handbook Of Educational Data Mining

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Handbook of Educational Data Mining

Cristobal Romero,Sebastian Ventura,Mykola Pechenizkiy,Ryan S.J.d. Baker
Handbook of Educational Data Mining Book PDF

Author : Cristobal Romero,Sebastian Ventura,Mykola Pechenizkiy,Ryan S.J.d. Baker
Publisher : CRC Press
Page : 535 pages
File Size : 50,9 Mb
Release : 2010-10-25
Category : Business & Economics
ISBN : 1439804583

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Handbook of Educational Data Mining by Cristobal Romero,Sebastian Ventura,Mykola Pechenizkiy,Ryan S.J.d. Baker Pdf

Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed. Researchers at the Forefront of the Field Discuss Essential Topics and the Latest Advances With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It brings the educational and data mining communities together, helping education experts understand what types of questions EDM can address and helping data miners understand what types of questions are important to educational design and educational decision making. Encouraging readers to integrate EDM into their research and practice, this timely handbook offers a broad, accessible treatment of essential EDM techniques and applications. It provides an excellent first step for newcomers to the EDM community and for active researchers to keep abreast of recent developments in the field.

Data Mining and Learning Analytics

Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Data Mining and Learning Analytics Book PDF

Author : Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 50,7 Mb
Release : 2016-09-20
Category : Computers
ISBN : 9781118998212

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Data Mining and Learning Analytics by Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane Pdf

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 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.

Educational Data Mining

Alejandro Peña-Ayala
Educational Data Mining Book PDF

Author : Alejandro Peña-Ayala
Publisher : Springer
Page : 468 pages
File Size : 50,7 Mb
Release : 2013-11-08
Category : Technology & Engineering
ISBN : 9783319027388

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Educational Data Mining by Alejandro Peña-Ayala Pdf

This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows: · Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-process raw data to facilitate data mining (DM); 3) explain how EDM supports government policies to enhance education. · Student modeling: The second part contains five chapters concerned with: 4) explore the factors having an impact on the student's academic success; 5) detect student's personality and behaviors in an educational game; 6) predict students performance to adjust content and strategies; 7) identify students who will most benefit from tutor support; 8) hypothesize the student answer correctness based on eye metrics and mouse click. · Assessment: The third part has four chapters related to: 9) analyze the coherence of student research proposals; 10) automatically generate tests based on competences; 11) recognize students activities and visualize these activities for being presented to teachers; 12) find the most dependent test items in students response data. · Trends: The fourth part encompasses four chapters about how to: 13) mine text for assessing students productions and supporting teachers; 14) scan student comments by statistical and text mining techniques; 15) sketch a social network analysis (SNA) to discover student behavior profiles and depict models about their collaboration; 16) evaluate the structure of interactions between the students in social networks. This volume will be a source of interest to researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and find targets for future work in the field of educational data mining.

Advancing Educational Research With Emerging Technology

Kennedy, Eugene,Qian, Yufeng
Advancing Educational Research With Emerging Technology Book PDF

Author : Kennedy, Eugene,Qian, Yufeng
Publisher : IGI Global
Page : 315 pages
File Size : 41,8 Mb
Release : 2019-11-29
Category : Education
ISBN : 9781799811756

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Advancing Educational Research With Emerging Technology by Kennedy, Eugene,Qian, Yufeng Pdf

Advances in technology and media have fundamentally changed the way people perceive research, how research studies are conducted, and the ways data are analyzed/how the findings are presented. Emerging internet-enabled technological tools have enhanced and transformed research in education and the way educators must adapt to conduct future studies. Advancing Educational Research With Emerging Technology provides innovative insights into cutting-edge and long-standing digital tools in educational research and addresses theoretical, methodological, and ethical dimensions in doing research in the digital world. The content within this publication examines such topics as computational linguistics, individualized learning, and mobile technologies. The design of this publication is suited for students, professors, higher education faculty, deans, academicians, researchers, and practitioners looking to expand their research through the use of a broad range of digital tools and resources.

Educational Data Mining with R and Rattle

R.S. Kamath,R.K. Kamat
Educational Data Mining with R and Rattle Book PDF

Author : R.S. Kamath,R.K. Kamat
Publisher : CRC Press
Page : 127 pages
File Size : 52,7 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000793635

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Educational Data Mining with R and Rattle by R.S. Kamath,R.K. Kamat Pdf

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme "Mining of Educational Data for the Analysis and Prediction of Students' Academic Performance". The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools. .Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach

The Wiley Handbook of Cognition and Assessment

Andre A. Rupp,Jacqueline P. Leighton
The Wiley Handbook of Cognition and Assessment Book PDF

Author : Andre A. Rupp,Jacqueline P. Leighton
Publisher : John Wiley & Sons
Page : 648 pages
File Size : 54,6 Mb
Release : 2016-11-21
Category : Education
ISBN : 9781118956618

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The Wiley Handbook of Cognition and Assessment by Andre A. Rupp,Jacqueline P. Leighton Pdf

This state-of-the-art resource brings together the most innovative scholars and thinkers in the field of testing to capture the changing conceptual, methodological, and applied landscape of cognitively-grounded educational assessments. Offers a methodologically-rigorous review of cognitive and learning sciences models for testing purposes, as well as the latest statistical and technological know-how for designing, scoring, and interpreting results Written by an international team of contributors at the cutting-edge of cognitive psychology and educational measurement under the editorship of a research director at the Educational Testing Service and an esteemed professor of educational psychology at the University of Alberta as well as supported by an expert advisory board Covers conceptual frameworks, modern methodologies, and applied topics, in a style and at a level of technical detail that will appeal to a wide range of readers from both applied and scientific backgrounds Considers emerging topics in cognitively-grounded assessment, including applications of emerging socio-cognitive models, cognitive models for human and automated scoring, and various innovative virtual performance assessments

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

Bhatt, Chintan,Sajja, Priti Srinivas,Liyanage, Sidath
Utilizing Educational Data Mining Techniques for Improved Learning Emerging Research and Opportunities Book PDF

Author : Bhatt, Chintan,Sajja, Priti Srinivas,Liyanage, Sidath
Publisher : IGI Global
Page : 166 pages
File Size : 48,9 Mb
Release : 2019-08-02
Category : Education
ISBN : 9781799800125

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Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities by Bhatt, Chintan,Sajja, Priti Srinivas,Liyanage, Sidath Pdf

Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.

Handbook of Research on Knowledge Management for Contemporary Business Environments

Malheiro, Armando,Ribeiro, Fernanda,Leal Jamil, George,Rascao, Jose Pocas,Mealha, Oscar
Handbook of Research on Knowledge Management for Contemporary Business Environments Book PDF

Author : Malheiro, Armando,Ribeiro, Fernanda,Leal Jamil, George,Rascao, Jose Pocas,Mealha, Oscar
Publisher : IGI Global
Page : 438 pages
File Size : 40,5 Mb
Release : 2018-05-25
Category : Business & Economics
ISBN : 9781522537267

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Handbook of Research on Knowledge Management for Contemporary Business Environments by Malheiro, Armando,Ribeiro, Fernanda,Leal Jamil, George,Rascao, Jose Pocas,Mealha, Oscar Pdf

Information is considered essential in every business model, which is why staying abreast of the latest resources can help combat many challenges and aid businesses in creating a synthesis between people and information, keeping up with evolving technologies, and keeping data accurate and secure. The Handbook of Research on Knowledge Management for Contemporary Business Environments is a critical scholarly publication that examines the management of knowledge resources in modern business contexts. Including a wide range of topics such as information systems, sustainable competitive advantage, and knowledge sharing, this publication is a vital reference source for managers, academicians, researchers, and students seeking current research on strategies that are able to manage the information in more than one context for present and future generations.

Advancing the Power of Learning Analytics and Big Data in Education

Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba
Advancing the Power of Learning Analytics and Big Data in Education Book PDF

Author : Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba
Publisher : IGI Global
Page : 296 pages
File Size : 54,7 Mb
Release : 2021-03-19
Category : Education
ISBN : 9781799871040

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Advancing the Power of Learning Analytics and Big Data in Education by Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba Pdf

The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.

Handbook of Data Mining and Knowledge Discovery

Jan M. Żytkow
Handbook of Data Mining and Knowledge Discovery Book PDF

Author : Jan M. Żytkow
Publisher : Oxford University Press, USA
Page : 1026 pages
File Size : 48,5 Mb
Release : 2002
Category : Computers
ISBN : 0195118316

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Handbook of Data Mining and Knowledge Discovery by Jan M. Żytkow Pdf

Data mining, or knowledge discovery in databases (KDD), is one of the fastest growing areas in computing application: it offers powerful tools to analyze the many large data bases used in business, science, and industry. Data mining technology searches large databases to extract information and patterns that can be translated into useful applications, such as classifying or predicting customer behavior. This book brings together fundamental knowledge on all aspects of data mining--concepts, theory, techniques, applications, and case studies. Designed for students and professionals in such fields as computing applications, information systems management and strategic research and management, the Handbook is a comprehensive guide to essential tools and technology, from neural networks to artificial intelligence. There is a strong emphasis on real-world case studies in such areas as banking, finance, marketing management, real estate, engineering, medicine, pharmacology, and the biosciences. A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases.

Handbook of Learning Analytics

Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic
Handbook of Learning Analytics Book PDF

Author : Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic
Publisher : Unknown
Page : 355 pages
File Size : 41,6 Mb
Release : 2017
Category : Education
ISBN : 0995240817

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Handbook of Learning Analytics by Charles Lang,George Siemens,Alyssa Wise,Dragan Gasevic Pdf

"The Handbook of Learning Analytics is designed to meet the needs of a new and growing field. It aims to balance rigor, quality, open access and breadth of appeal and was devised to be an introduction to the current state of research. The Handbook is a snapshot of the field in 2017 and features a range of prominent authors from the learning analytics and educational data mining research communities. The chapters have been peer reviewed by committed members of these fields and are being published with the endorsement of both the Society for Learning Analytics Research and the International Society for Educational Data Mining. We hope you will find the Handbook of Learning Analytics a useful and informative resource."--Publisher information.

Data Mining and Learning Analytics

Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Data Mining and Learning Analytics Book PDF

Author : Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 50,5 Mb
Release : 2016-09-26
Category : Computers
ISBN : 9781118998236

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Data Mining and Learning Analytics by Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane Pdf

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 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.

Applications of Big Data Analytics

Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Applications of Big Data Analytics Book PDF

Author : Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Publisher : Springer
Page : 214 pages
File Size : 45,5 Mb
Release : 2018-07-23
Category : Computers
ISBN : 9783319764726

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Applications of Big Data Analytics by Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya Pdf

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

Handbook of Research on Equity in Computer Science in P-16 Education

Keengwe, Jared,Tran, Yune
Handbook of Research on Equity in Computer Science in P 16 Education Book PDF

Author : Keengwe, Jared,Tran, Yune
Publisher : IGI Global
Page : 354 pages
File Size : 49,7 Mb
Release : 2020-11-13
Category : Education
ISBN : 9781799847403

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Handbook of Research on Equity in Computer Science in P-16 Education by Keengwe, Jared,Tran, Yune Pdf

The growing trend for high-quality computer science in school curricula has drawn recent attention in classrooms. With an increasingly information-based and global society, computer science education coupled with computational thinking has become an integral part of an experience for all students, given that these foundational concepts and skills intersect cross-disciplinarily with a set of mental competencies that are relevant in their daily lives and work. While many agree that these concepts should be taught in schools, there are systematic inequities that exist to prevent students from accessing related computer science skills. The Handbook of Research on Equity in Computer Science in P-16 Education is a comprehensive reference book that highlights relevant issues, perspectives, and challenges in P-16 environments that relate to the inequities that students face in accessing computer science or computational thinking and examines methods for challenging these inequities in hopes of allowing all students equal opportunities for learning these skills. Additionally, it explores the challenges and policies that are created to limit access and thus reinforce systems of power and privilege. The chapters highlight issues, perspectives, and challenges faced in P-16 environments that include gender and racial imbalances, population of growing computer science teachers who are predominantly white and male, teacher preparation or lack of faculty expertise, professional development programs, and more. It is intended for teacher educators, K-12 teachers, high school counselors, college faculty in the computer science department, school administrators, curriculum and instructional designers, directors of teaching and learning centers, policymakers, researchers, and students.

Engineering Education Trends in the Digital Era

SerdarAsan, ?eyda,I??kl?, Erkan
Engineering Education Trends in the Digital Era Book PDF

Author : SerdarAsan, ?eyda,I??kl?, Erkan
Publisher : IGI Global
Page : 302 pages
File Size : 55,7 Mb
Release : 2020-02-21
Category : Technology & Engineering
ISBN : 9781799825647

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Engineering Education Trends in the Digital Era by SerdarAsan, ?eyda,I??kl?, Erkan Pdf

As the most influential activity for social and economic development of individuals and societies, education is a powerful means of shaping the future. The emergence of physical and digital technologies requires an overhaul that would affect not only the way engineering is approached but also the way education is delivered and designed. Therefore, designing and developing curricula focusing on the competencies and abilities of new generation engineers will be a necessity for sustainable success. Engineering Education Trends in the Digital Era is a critical scholarly resource that examines more digitized ways of designing and delivering learning and teaching processes and discusses and acts upon developing innovative engineering education within global, societal, economic, and environmental contexts. Highlighting a wide range of topics such as academic integrity, gamification, and professional development, this book is essential for teachers, researchers, educational policymakers, curriculum designers, educational software developers, administrators, and academicians.