Utilizing Educational Data Mining Techniques For Improved Learning Emerging Research And Opportunities

Download Utilizing Educational Data Mining Techniques For Improved Learning Emerging Research And Opportunities full books in PDF, epub, and Kindle. Read online Utilizing Educational Data Mining Techniques For Improved Learning Emerging Research And Opportunities ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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

Author : Bhatt, Chintan
Publisher : IGI Global
ISBN 13 : 1799800121
Total Pages : 166 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities by : Bhatt, Chintan

Download or read book Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities written by Bhatt, Chintan and published by IGI Global. This book was released on 2019-08-02 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining and Learning Analytics

Author : Samira ElAtia
Publisher : John Wiley & Sons
ISBN 13 : 1118998219
Total Pages : 320 pages
Book Rating : 4.1/5 (189 download)

DOWNLOAD NOW!

Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by John Wiley & Sons. This book was released on 2016-09-20 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Educational Data Mining

Author : Cristobal Romero
Publisher : CRC Press
ISBN 13 : 9781439804582
Total Pages : 535 pages
Book Rating : 4.8/5 (45 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Educational Data Mining by : Cristobal Romero

Download or read book Handbook of Educational Data Mining written by Cristobal Romero and published by CRC Press. This book was released on 2010-10-25 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Samira ElAtia
Publisher : John Wiley & Sons
ISBN 13 : 1118998235
Total Pages : 320 pages
Book Rating : 4.1/5 (189 download)

DOWNLOAD NOW!

Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 with R and Rattle

Author : R.S. Kamath
Publisher : CRC Press
ISBN 13 : 100079363X
Total Pages : 127 pages
Book Rating : 4.0/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Educational Data Mining with R and Rattle by : R.S. Kamath

Download or read book Educational Data Mining with R and Rattle written by R.S. Kamath and published by CRC Press. This book was released on 2022-09-01 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities

Author : Sidhu, Manjit Singh
Publisher : IGI Global
ISBN 13 : 1799804674
Total Pages : 270 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities by : Sidhu, Manjit Singh

Download or read book Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities written by Sidhu, Manjit Singh and published by IGI Global. This book was released on 2019-10-25 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual multimedia applications integrate animation, sound, graphics, and video to create an engaging, interactive, and effective learning environment. Such software allows students to exercise more control over the pacing and sequencing of their own learning. With the availability of more sophisticated computers, the potential to employ multimedia has grown tremendously. Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities is a critical scholarly publication that examines the development and use of interactive multimedia and mixed reality applications that are used to support engineering pedagogy and curriculum. Containing leading international findings, this advanced publication delivers quality research using learning and consultancy for developing tactics to decipher dilemmas within the field. Highlighting a range of topics such as data analysis, augmented reality, and multimedia, this book is ideal for educators, engineers, curriculum designers, educational software developers, IT consultants, researchers, academicians, and students.

Applications of Big Data Analytics

Author : Mohammed M. Alani
Publisher : Springer
ISBN 13 : 3319764721
Total Pages : 214 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Applications of Big Data Analytics by : Mohammed M. Alani

Download or read book Applications of Big Data Analytics written by Mohammed M. Alani and published by Springer. This book was released on 2018-07-23 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pedagogy for Conceptual Thinking and Meaning Equivalence: Emerging Research and Opportunities

Author : Etkind, Masha
Publisher : IGI Global
ISBN 13 : 1799819876
Total Pages : 154 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Pedagogy for Conceptual Thinking and Meaning Equivalence: Emerging Research and Opportunities by : Etkind, Masha

Download or read book Pedagogy for Conceptual Thinking and Meaning Equivalence: Emerging Research and Opportunities written by Etkind, Masha and published by IGI Global. This book was released on 2019-11-08 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in neuroscience and brain imaging show that exposure of learners to multi-semiotic problems enhance cognitive control of inter-hemispheric attentional processing in the lateral brain and increase higher-order thinking. Multi-semiotic representations of conceptual meaning are found in most knowledge domains where issues of quantity, structure, space, and change play important roles, including applied sciences and social science. Teaching courses in History and Theory of Architecture to young architecture students with pedagogy for conceptual thinking allows them to connect analysis of historic artifact, identify pattern of design ideas extracted from the precedent, and transfer concepts of good design into their creative design process. Pedagogy for Conceptual Thinking and Meaning Equivalence: Emerging Research and Opportunities is a critical scholarly resource that demonstrates an instructional and assessment methodology that enhances higher-order thinking, deepens comprehension of conceptual content, and improves learning outcomes. Based on the rich literature on word meaning and concept formation in linguistics and semiotics, and in developmental and cognitive psychology, it shows how independent studies in these disciplines converge on the necessary clues for constructing a procedure for the demonstration of mastery of knowledge with equivalence-of-meaning across multiple representations. Featuring a wide range of topics such as curriculum design, learning outcomes, and STEM education, this book is essential for curriculum developers, instructional designers, teachers, administrators, education professionals, academicians, policymakers, and researchers.

Form, Function, and Style in Instructional Design: Emerging Research and Opportunities

Author : Hai-Jew, Shalin
Publisher : IGI Global
ISBN 13 : 1522598359
Total Pages : 203 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Form, Function, and Style in Instructional Design: Emerging Research and Opportunities by : Hai-Jew, Shalin

Download or read book Form, Function, and Style in Instructional Design: Emerging Research and Opportunities written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2019-09-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technological influences and advancements change the format and availability of online learning, instructional design is forced to adapt and accommodate to these changes by exploring different approaches to form, function, and style. These changes are noticeable in the characteristics of instructional design and are made with the intention of promoting the betterment of students’ educational experiences. Form, Function, and Style in Instructional Design: Emerging Research and Opportunities is an essential research book that explores attributes of instructional design in various real-world projects and how it is applied to learning contexts, technological contexts, visualization design, character design, and more. Highlighting topics such as affective learning, learning efficacy, and curriculum design, this book is ideal for educators, administrators, instructional designers, curriculum developers, software developers, instructors, academicians, and students.

Advanced Smart Computing Technologies in Cybersecurity and Forensics

Author : Keshav Kaushik
Publisher : CRC Press
ISBN 13 : 1000520595
Total Pages : 258 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Advanced Smart Computing Technologies in Cybersecurity and Forensics by : Keshav Kaushik

Download or read book Advanced Smart Computing Technologies in Cybersecurity and Forensics written by Keshav Kaushik and published by CRC Press. This book was released on 2021-12-15 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book. This book: • Includes detailed applications of cybersecurity and forensics for real-life problems • Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics • Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India. Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India. Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

Emerging Techniques and Applications for Blended Learning in K-20 Classrooms

Author : Kyei-Blankson, Lydia
Publisher : IGI Global
ISBN 13 : 1799802442
Total Pages : 325 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Emerging Techniques and Applications for Blended Learning in K-20 Classrooms by : Kyei-Blankson, Lydia

Download or read book Emerging Techniques and Applications for Blended Learning in K-20 Classrooms written by Kyei-Blankson, Lydia and published by IGI Global. This book was released on 2019-10-04 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analysis and Methods of Qualitative Research: Emerging Research and Opportunities

Author : Madondo, Silas Memory
Publisher : IGI Global
ISBN 13 : 1799885518
Total Pages : 249 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Data Analysis and Methods of Qualitative Research: Emerging Research and Opportunities by : Madondo, Silas Memory

Download or read book Data Analysis and Methods of Qualitative Research: Emerging Research and Opportunities written by Madondo, Silas Memory and published by IGI Global. This book was released on 2021-04-15 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intellectual property discussion is central to qualitative research projects, and ethical guidelines are essential to the safe accomplishment of research projects. Undertaking research studies without adhering to ethics may be dangerous to researchers and research subjects. Therefore, it is important to understand and develop practical techniques for handling ethics with a specific focus on qualitative projects so that researchers conducting this type of research may continue to use ethical practices at every step of the project. Data Analysis and Methods of Qualitative Research: Emerging Research and Opportunities discusses in detail the methods related to the social constructionist paradigm that is popular with qualitative research projects. These methods help researchers undertake ideal qualitative projects that are free from quantitative research techniques/concepts all while acquiring practical skills in handling ethics and ethical issues in qualitative projects. The chapters each contain case studies, learning outcomes, question and answer sections, and discuss critical research philosophies in detail along with topics such as ethics, research design, data gathering and sampling methods, research outputs, data analysis, and report writing. Featuring a wide range of topics such as epistemology, probability sampling, and big data, this book is ideal for researchers, practitioners, computer scientists, academicians, analysts, coders, and students looking to become competent qualitative research specialists.

Learning Technologies and Systems

Author : Chaoyi Pang
Publisher : Springer Nature
ISBN 13 : 3030669068
Total Pages : 484 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Learning Technologies and Systems by : Chaoyi Pang

Download or read book Learning Technologies and Systems written by Chaoyi Pang and published by Springer Nature. This book was released on 2021-01-22 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 19th International Conference on Web-Based Learning, ICWL 2020, and 5th International Symposium on Emerging Technologies for Education, SETE 2020, held in Ningbo, China in October 2020. Together for the ICWL 2020 Conference and SETE 2020 Symposium 39 full papers were accepted together with 31 short papers out of 233 submissions. The papers focus on the following subjects: Semantic Web for E-Learning, through Learning Analytics, Computer-Supported Collaborative Learning, Assessment, Pedagogical Issues, E-learning Platforms, and Tools, to Mobile Learning and much more.

Data Protection and Privacy in Healthcare

Author : Ahmed Elngar
Publisher : CRC Press
ISBN 13 : 1000349314
Total Pages : 269 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Data Protection and Privacy in Healthcare by : Ahmed Elngar

Download or read book Data Protection and Privacy in Healthcare written by Ahmed Elngar and published by CRC Press. This book was released on 2021-03-09 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient’s record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.

Data-Driven Mining, Learning and Analytics for Secured Smart Cities

Author : Chinmay Chakraborty
Publisher : Springer Nature
ISBN 13 : 3030721396
Total Pages : 383 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Mining, Learning and Analytics for Secured Smart Cities by : Chinmay Chakraborty

Download or read book Data-Driven Mining, Learning and Analytics for Secured Smart Cities written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2021-04-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Research Anthology on Strategies for Achieving Agricultural Sustainability

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668453533
Total Pages : 1364 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Research Anthology on Strategies for Achieving Agricultural Sustainability by : Management Association, Information Resources

Download or read book Research Anthology on Strategies for Achieving Agricultural Sustainability written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-02-18 with total page 1364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture has been an enduring human tradition key to survival and civilization. However, after the advent of industrialization and agricultural growth, the industry has been met with several challenges including pollution, land use, and food insecurity. With the agricultural industry contributing to pollution and emissions, many have found it imperative to investigate the causes and seek out solutions. The Research Anthology on Strategies for Achieving Agricultural Sustainability discusses the issues that the agricultural industry currently faces and the technological opportunities that can be explored to help protect and predict crop growth and achieve more resilient agricultural processes. It analyzes the impact of agricultural pollution and food insecurity on a global scale, but also proposes solutions to promote agricultural sustainability. Covering topics such as bio-farming, smart farming, and population growth, this book is an indispensable resource for government officials, agricultural scientists, farmers, students and professors of higher education, activist groups, researchers, and academicians.

Data Mining and Learning Analytics

Author : Samira ElAtia
Publisher :
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.:/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by . This book was released on 2016 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.