Utilizing Educational Data Mining Techniques For Improved Learning
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Utilizing Educational Data Mining Techniques For Improved Learning Emerging Research And Opportunities
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Author : Bhatt, Chintan
language : en
Publisher: IGI Global
Release Date : 2019-08-02
Utilizing Educational Data Mining Techniques For Improved Learning Emerging Research And Opportunities written by Bhatt, Chintan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Education categories.
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.
Utilizing Educational Data Mining Techniques For Improved Learning
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Author : Chintan M. Bhatt
language : en
Publisher: Information Science Reference
Release Date : 2019
Utilizing Educational Data Mining Techniques For Improved Learning written by Chintan M. Bhatt and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
Educational Data Mining
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Author : Alejandro Peña-Ayala
language : en
Publisher: Springer
Release Date : 2013-11-08
Educational Data Mining written by Alejandro Peña-Ayala and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-08 with Technology & Engineering categories.
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.
Handbook Of Educational Data Mining
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Author : Cristobal Romero
language : en
Publisher: CRC Press
Release Date : 2010-10-25
Handbook Of Educational Data Mining written by Cristobal Romero and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-25 with Business & Economics categories.
This handbook 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. With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making.
2019 International Conference On Machine Learning Big Data Cloud And Parallel Computing Comitcon
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2019-02-14
2019 International Conference On Machine Learning Big Data Cloud And Parallel Computing Comitcon written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with categories.
ComITCon 2019 is the inaugural gathering of the annual technology forum of the Computer Science and Engineering department at MRIIRS The themes of the conference are in the areas of Machine Learning, Big Data, Cloud and Parallel Computing The conference emphasizes these focus areas but is also open for original submissions in other classical and emerging areas of computer science and engineering The conference aims to provides a platform for showcasing, brainstorming and scientific sharing of the recent advances, emerging trends, cutting edge innovations, and applications in machine learning, big data, cloud computing and parallel computing The conference is open to all researchers, scientists, practitioners, and engineers of the affiliated disciplines
Web Data Mining
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Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-25
Web Data Mining written by Bing Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-25 with Computers categories.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Transforming Cybersecurity Solutions Using Blockchain
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Author : Rashmi Agrawal
language : en
Publisher: Springer Nature
Release Date : 2021-04-13
Transforming Cybersecurity Solutions Using Blockchain written by Rashmi Agrawal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with Technology & Engineering categories.
This book is targeted towards cybersecurity professionals (especially those dealing with cloud security) or any stakeholders dealing with cybersecurity who want to understand the next level of security infrastructure using blockchain. The book's security and privacy analysis help with an understanding of the basics of blockchain, and it explores the quantifying impact of the new attack surfaces introduced by blockchain technologies and platforms. In addition, the book contains relevant and current updates on the topic. It follows a practical approach to help understand how blockchain technology is used to transform cybersecurity solutions.
Emerging Techniques And Applications For Blended Learning In K 20 Classrooms
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Author : Kyei-Blankson, Lydia
language : en
Publisher: IGI Global
Release Date : 2019-10-04
Emerging Techniques And Applications For Blended Learning In K 20 Classrooms written by Kyei-Blankson, Lydia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Education categories.
Many learning options are possible in education, from traditional to blended/hybrid to fully online. Of the three delivery formats, the blended mode, which involves the fusion of online and traditional face-to-face instruction and learning activities, is considered to have the greatest potential to provide the best learning environment. As blended learning continues to evolve and expand, it is important that information regarding what constitutes the ideal combination of online and traditional pedagogical strategies in blended education and at all levels is illuminated and shared. Emerging Techniques and Applications for Blended Learning in K-20 Classrooms is an academic publication that focuses on pedagogical strategies and technologies that have been successfully employed by educators in blended instruction. In addition, the student outcomes from the use of these techniques are presented. Covering a wide range of topics such as gamification, civic education, and critical thinking, this book is essential for academicians, administrators, educators, instructors, researchers, instructional designers, curriculum developers, principals, early childhood educators, higher education faculty, and students.
Smart Cities A Data Analytics Perspective
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Author : Mohammad Ayoub Khan
language : en
Publisher: Springer Nature
Release Date : 2020-12-11
Smart Cities A Data Analytics Perspective written by Mohammad Ayoub Khan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Technology & Engineering categories.
This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.
Intelligent Technologies For Internet Of Vehicles
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Author : Naercio Magaia
language : en
Publisher: Springer Nature
Release Date : 2021-06-09
Intelligent Technologies For Internet Of Vehicles written by Naercio Magaia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Technology & Engineering categories.
This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.