Modern Approaches For Educational Data Mining
DOWNLOAD
Download Modern Approaches For Educational Data Mining PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modern Approaches For Educational Data Mining book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Modern Approaches For Educational Data Mining
DOWNLOAD
Author : Dr. Adithya Padthe
language : en
Publisher: Xoffencerpublication
Release Date : 2023-07-25
Modern Approaches For Educational Data Mining written by Dr. Adithya Padthe and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Foreign Language Study categories.
Mining educational data, also known as Educational Data Mining (EDM), is the process of using data mining techniques and methodologies to educational data in order to gain insights and make informed judgements relevant to the field of education. This process is also known as Educational Data Mining (EDM). In the field of electronic direct marketing (EDM), a number of novel approaches have emerged over the course of the last few years. The following are examples of some of them: Insights on the Behavior of Learners: Learning analytics focuses on the measurement, collection, analysis, and reporting of data about learners and the settings in which they are learning in order to enhance not just the environments in which learning takes place but also the learning itself. This is done with the goal of making learning both more effective and more enjoyable. It comprises the use of data mining and statistical methods to find patterns and trends in educational data, with the ultimate goal of enabling educators to make decisions that are data-informed. A method that makes use of machine learning algorithms in order to produce projections regarding a range of educational outcomes, such as student performance, dropout rates, or learning obstacles, is referred to as "predictive modeling," and its usage has been given the title "predictive modeling" as a term of art. By looking at data from the past, such as grades, attendance, and engagement levels, predictive models are able to identify patterns and provide forecasts for future student performance or behavior. Predictive models are also able to anticipate how students will behave in the future.
Modern Approach To Educational Data Mining And Its Applications
DOWNLOAD
Author : Soni Sweta
language : en
Publisher: Springer Nature
Release Date : 2021-01-22
Modern Approach To Educational Data Mining And Its Applications written by Soni Sweta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with Technology & Engineering categories.
This book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system. Learning is a continuous process since human evolution. In fact, it is related to life and innovations. The basic objective of learning to grow, aspire and develop ease of life remains the same despite changes in the learning methodologies. Introduction of computers empowered us to attain new zenith in knowledge domain, developed pragmatic approach to solve life’s problem and helped us to decipher different hidden patterns of data to get new ideas. Of late, computers are predominantly used in education. Its process has been changed from offline to online in view of enhancing the ease of learning. With the advent of information technology, e-learning has taken centre stage in educational domain. In e-learning context, developing adaptive e-learning system is buzzword among contemporary research scholars in the area of Educational Data Mining (EDM). Enabling personalized systems is meant for improvement in learning experience for learners as per their choices made or auto-detected needs. It helps in enhancing their performance in terms of knowledge, skills, aptitudes and preferences. It also enables speeding up the learning process qualitatively and quantitatively. These objectives are met only by the Personalized Adaptive E-learning Systems in this regard. Many noble frameworks were conceptualized, designed and developed to infer learning style preferences, and accordingly, learning materials were delivered adaptively to the learners. Designing frameworks help to measure learners’ preferences minutely and provide adaptive learning materials to them in a way most appropriately.
Data Science A Modern Approach With Python
DOWNLOAD
Author : Dr.M.SANGEETHA
language : en
Publisher: SK Research Group of Companies
Release Date : 2023-11-16
Data Science A Modern Approach With Python written by Dr.M.SANGEETHA and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-16 with Fiction categories.
Dr.M.SANGEETHA, Professor & Head, Department of Computer Science and Engineering, VSB Engineering College, Karur, Tamil Nadu, India. Dr.P.RAMA, Assistant Professor, Department of Computing Technologies, College of Engineering and Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Dr.SUNIL DHANKHAR, Associate Professor, Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur, Rajasthan, India. Dr.MOHAMMED SIDDIQUE, Associate Professor, Department of Mathematics, Centurion University of Technology and Management, Odisha, India.
Practical Statistics For Educators A Modern Approach
DOWNLOAD
Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :
Practical Statistics For Educators A Modern Approach written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
**Practical Statistics for Educators: A Modern Approach** provides a comprehensive and accessible introduction to the essential concepts of statistics and their application in the field of education. Written in a conversational and engaging style, this book empowers educators with the foundational knowledge and practical skills needed to make informed decisions based on data. Covering a wide range of topics, from descriptive statistics to advanced statistical modeling, this book delves into the practical applications of statistics in educational research, assessment, and evaluation. Real-world examples and case studies illustrate how statistical methods can be used to analyze educational data, identify trends, and measure the effectiveness of instructional practices. Beyond theoretical understanding, this book emphasizes the ethical considerations surrounding the use of statistics in education. It addresses issues of data privacy, informed consent, and the responsible interpretation of data, providing educators with the guidance necessary to use statistical methods with integrity and respect for the rights of individuals. Designed for both novice and experienced educators, this book is an invaluable resource for anyone seeking to enhance their statistical literacy. With its clear explanations, engaging examples, and practical applications, **Practical Statistics for Educators: A Modern Approach** is the definitive guide to applying statistics effectively in the field of education. This book is more than just a collection of statistical techniques; it is a roadmap for educators to navigate the complexities of educational data and make informed decisions that improve teaching and learning outcomes. Its comprehensive coverage, practical orientation, and ethical considerations make it an essential resource for educators at all levels, from those new to the field to seasoned professionals seeking to expand their knowledge and skills. With **Practical Statistics for Educators: A Modern Approach**, educators will gain the confidence and competence they need to harness the power of statistics to transform their practice and empower their students to succeed in a data-driven world. If you like this book, write a review!
Modern Approaches In Machine Learning And Cognitive Science A Walkthrough
DOWNLOAD
Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2021-04-26
Modern Approaches In Machine Learning And Cognitive Science A Walkthrough written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-26 with Technology & Engineering categories.
This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focus on readers interested in machine learning, cognitive and neuro-inspired computational systems – theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Sentiment Analysis And Its Application In Educational Data Mining
DOWNLOAD
Author : Soni Sweta
language : en
Publisher: Springer Nature
Release Date : 2024-04-20
Sentiment Analysis And Its Application In Educational Data Mining written by Soni Sweta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-20 with Computers categories.
The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.
Emerging Trends And Future Directions In Artificial Intelligence Machine Learning And Internet Of Things Innovations
DOWNLOAD
Author : Khumukcham Robindro Singh
language : en
Publisher: CRC Press
Release Date : 2025-09-29
Emerging Trends And Future Directions In Artificial Intelligence Machine Learning And Internet Of Things Innovations written by Khumukcham Robindro Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-29 with Technology & Engineering categories.
The “North East India AI Summit: Unravelling Trends (NEIAIS 2025)” served as a vibrant platform for the exchange of cutting-edge ideas and research in the field of Artificial Intelligence, with a strong emphasis on both foundational theo□ries and real-world applications. The summit brought together experts, researchers, and enthusiasts to explore critical areas including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Smart Systems, IoT Security, Network Technology, and Artificial Intelligence in Healthcare and Biomedical Applications. Discussions also delved into emerging trends and computational techniques, highlighting the transformative potential of AI in addressing complex, real-world challenges. The conference received an overwhelming response, attracting more than 120 research paper submissions from various regions of India and abroad. After a rigorous review process, 55 high-quality papers were accepted, out of which over 44 papers were registered for presentation at the summit. By fostering interdisciplinary col□laboration and showcasing impactful innovations, NEIAIS 2025 aims to inspire sustained research, technological growth, and broader societal benefits.
Cloud Computing For Smart Education And Collaborative Learning
DOWNLOAD
Author : Urmila Shrawankar
language : en
Publisher: CRC Press
Release Date : 2025-03-26
Cloud Computing For Smart Education And Collaborative Learning written by Urmila Shrawankar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
The book presents next-generation education technology and the pedagogy of the Education Cloud. It covers technological developments, case studies, innovative research approaches, and solutions for advanced learning paradigms using Internet of Things (IoT), cloud computing, and machine learning to handle various challenges of the smart education system. It discusses cloud architecture, management, and frame- work for education from virtual classrooms and labs. It shows how cloud computing framework can be integrated with fog computing, edge computing, deep learning, and IoT. Illustrates from fundamental theories to practical and sophisticated applications of cloud technology for the education domain Explores e-learning applications through location-independent cloud services to reduce cost Covers result-oriented, real-time solutions for smart, accessible education and its real-time application support Discusses accessible cloud services for people with special needs Presents flexible and scalable cost-effective e-learning architecture and scenario for education technology It serves as a valuable resource for academicians, researchers, and professionals interested in smart education and cloud technology.
Digital Technologies And Applications
DOWNLOAD
Author : Saad Motahhir
language : en
Publisher: Springer Nature
Release Date : 2023-04-28
Digital Technologies And Applications written by Saad Motahhir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Technology & Engineering categories.
This book presents volume 1 of selected research papers presented at the third International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, digital transformation and their applications in several areas as Industry 4.0, renewable energy, mechatronics, digital healthcare. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.
Utilizing Educational Data Mining Techniques For Improved Learning Emerging Research And Opportunities
DOWNLOAD
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.