Modern Approach To Educational Data Mining And Its Applications
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Modern Approach To Educational Data Mining And Its Applications
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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.
Modern Approach To Educational Data Mining And Its Applications
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Author : Soni Sweta
language : en
Publisher:
Release Date : 2021
Modern Approach To Educational Data Mining And Its Applications written by Soni Sweta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with 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.
Modern Approaches For Educational Data Mining
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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.
Sentiment Analysis And Its Application In Educational Data Mining
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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.
Handbook Of Research On Advances And Applications Of Fuzzy Sets And Logic
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Author : Broumi, Said
language : en
Publisher: IGI Global
Release Date : 2022-03-04
Handbook Of Research On Advances And Applications Of Fuzzy Sets And Logic written by Broumi, Said and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-04 with Mathematics categories.
Fuzzy logic, which is based on the concept of fuzzy set, has enabled scientists to create models under conditions of imprecision, vagueness, or both at once. As a result, it has now found many important applications in almost all sectors of human activity, becoming a complementary feature and supporter of probability theory, which is suitable for modelling situations of uncertainty derived from randomness. Fuzzy mathematics has also significantly developed at the theoretical level, providing important insights into branches of traditional mathematics like algebra, analysis, geometry, topology, and more. With such widespread applications, fuzzy sets and logic are an important area of focus in mathematics. The Handbook of Research on Advances and Applications of Fuzzy Sets and Logic studies recent theoretical advances of fuzzy sets and numbers, fuzzy systems, fuzzy logic and their generalizations, extensions, and more. This book also explores the applications of fuzzy sets and logic applied to science, technology, and everyday life to further provide research on the subject. This book is ideal for mathematicians, physicists, computer specialists, engineers, practitioners, researchers, academicians, and students who are looking to learn more about fuzzy sets, fuzzy logic, and their applications.
Emerging Trends And Future Directions In Artificial Intelligence Machine Learning And Internet Of Things Innovations
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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.
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.
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.
Machine Learning Applications For Accounting Disclosure And Fraud Detection
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Author : Papadakis, Stylianos
language : en
Publisher: IGI Global
Release Date : 2020-10-02
Machine Learning Applications For Accounting Disclosure And Fraud Detection written by Papadakis, Stylianos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-02 with Business & Economics categories.
The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.
Research Methods For Educational Leadership And Management
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Author : Musundire, Austin
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Research Methods For Educational Leadership And Management written by Musundire, Austin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Education categories.
Various research methods, including action, case study, and experimental research, can be tailored for educational leadership and management. Different research designs, data collection techniques, and data analysis methods have differing strengths, weaknesses, and challenges. As a result, it is crucial to develop the skills and confidence needed to conduct high-quality research. Developing a deeper understanding of how to conduct rigorous research may, consequently, foster more effective and innovative research, leading to improved educational policies, practices, and outcomes. Research Methods for Educational Leadership and Management illustrates how these methods can be effectively applied to address issues in educational leadership and management. It promotes best practices in educational research by highlighting ethical considerations, addressing common challenges, and providing strategies for overcoming these obstacles. Covering topics such as equity employment practices, high-performance culture, and professional competencies, this book is an excellent resource for educational leaders, school managers, school administrators, policymakers, researchers, professionals, scholars, academicians, and more.