Advanced Learning Analytics Methods
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Advanced Learning Analytics Methods
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Author : Mohammed Saqr
language : en
Publisher: Springer Nature
Release Date : 2025-10-25
Advanced Learning Analytics Methods written by Mohammed Saqr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-25 with Education categories.
This is an open access book. This comprehensive and timely methodological book introduces several novel topics under the overarching sections of advanced learning analytics (LA), artificial intelligence (AI), precision education, and complex systems. These topics are presented using accessible language, beginning with introductory chapters that cover the fundamentals of each section, followed by step-by-step tutorials featuring code and datasets for various methods within each area. Although the title refers to “advanced LA,” the book is written for the broader educational research community and is of interest to quantitative researchers from diverse backgrounds. The first section focuses on Explainable AI and machine learning (ML), with an introduction to the methods, their applications, and tutorials. The second section outlines the foundational concepts of LLMs, their potential applications, and related methodologies, with a tutorial on using LLMs in various analytical tasks. The third section focuses on complex systems, which have become integral to many disciplines and have enabled breakthroughs in modeling intractable problems. Here, three chapters cover Transition Network Analysis (TNA), which fills a critical gap in modeling the temporal unfolding of learning processes over time from a complex systems perspective. The final section addresses precision education, with a particular emphasis on person-centered and person-specific (idiographic) methodologies.
Learning Analytics Methods And Tutorials
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Author : Mohammed Saqr
language : en
Publisher: Springer Nature
Release Date : 2024-06-24
Learning Analytics Methods And Tutorials written by Mohammed Saqr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Education categories.
This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources. This is an open access book.
Artificial Intelligence In Stem Education
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Author : Fan Ouyang
language : en
Publisher: CRC Press
Release Date : 2022-12-29
Artificial Intelligence In Stem Education written by Fan Ouyang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Education categories.
Artificial intelligence (AI) opens new opportunities for STEM education in K-12, higher education, and professional education contexts. This book summarizes AI in education (AIED) with a particular focus on the research, practice, and technological paradigmatic shifts of AIED in recent years. The 23 chapters in this edited collection track the paradigmatic shifts of AIED in STEM education, discussing how and why the paradigms have shifted, explaining how and in what ways AI techniques have ensured the shifts, and envisioning what directions next-generation AIED is heading in the new era. As a whole, the book illuminates the main paradigms of AI in STEM education, summarizes the AI-enhanced techniques and applications used to enable the paradigms, and discusses AI-enhanced teaching, learning, and design in STEM education. It provides an adapted educational policy so that practitioners can better facilitate the application of AI in STEM education. This book is a must-read for researchers, educators, students, designers, and engineers who are interested in the opportunities and challenges of AI in STEM education.
Big Data Analytics Methods
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Author : Peter Ghavami
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-03-06
Big Data Analytics Methods written by Peter Ghavami and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-06 with categories.
Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods are covered. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. This book is ideal as a text book for a course or as a reference for data scientists, data engineers, data analysts, Business intelligence practitioners, and business managers. It covers 10 chapters that discuss natural language processing (NLP), data visualization, prediction, optimization, artificial intelligence, regression analysis, cox hazard model and many analytics use case examples with applications in healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services. Big Data Analytics Methods Is a must read for those who wish to gain confidence and knowledge about big data and advanced analytics techniques. Read this book and confidently speak, lead and guide others about machine learning, neural networks, NLP, deep learning, and over 100 other analytics techniques. This book is fun and easy to read. It starts with simple and broad explanation of methods and gradually introduces more technical terms and techniques layer by layer. It finally introduces the underlying mathematical terms for those who want a mathematical foundation of the analytics methods. This book is one of a kind as it provides state of the art in advanced data analytics methods with important best practices to ensure the reader's success in data analytics.
Machine Learning A Guideline For Its Usability In Production Systems
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Author : Alexander Volz
language : en
Publisher: GRIN Verlag
Release Date : 2019-06-28
Machine Learning A Guideline For Its Usability In Production Systems written by Alexander Volz and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Technology & Engineering categories.
Bachelor Thesis from the year 2017 in the subject Engineering - Mechanical Engineering, grade: 1,3, RWTH Aachen University, language: English, abstract: This thesis provides an especially designed overview for the needs of decision makers in the production industry on the field of machine learning. By concerning economic and technological factors, as well as the individual challenges for companies, the goal of this thesis is to serve as a guideline for the usage of machine learning in production systems. After the revolutionary change caused by the introduction of the steam engine, the production line, electronics and IT, into the manufacturing industry, a new disrupting change is expected. Nowadays the rapidly increasing digitalization of the economy leads to the fourth industrial revolution. This global phenomenon is called ‘Industrie 4.0’ (GER) or ‘Smart Factory’ (US), and it combines production technology with information and communication technology. Especially, data based optimization in production is one of the predominant goals of Industrie 4.0. For the automatized analysis of large amounts of data, machine learning is an effective instrument and therefore a central element in Industrie 4.0. Recent progress in machine learning has been driven by the development of new learning algorithms and by the increasing availability of data and low-cost computation power. For many applications - from computer vision to adaptive robots – it was very difficult to devise deterministic rules. However, for these applications, it is possible to collect data, and now the idea is to use algorithms that learn from data, instead of being manually programmed. Thus, machine learning has the potential to transform data into valuable knowledge for decision making, while making improvements possible to the production system, with approaches such as predictive maintenance. The transfer of machine learning from the lab to the ‘real world’ leads to an increased interest in learning techniques, demanding further effort in explaining, on how machine learning works, and what it can be used for in other disciplines. However, the entry barrier to the diverse field of machine learning is high. With many different algorithms, theories and methods, it is hard to oversee, and therefore its influence remains limited. In addition, a recent study states that about 47% of jobs in the US are at high risk of computerization within the next decades. Therefore, employees feel insecure, and demand answers on what effect machine learning will have on their future role in the factory.
Business Intelligence
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Author : Efraim Turban
language : en
Publisher: Prentice Hall
Release Date : 2008
Business Intelligence written by Efraim Turban and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
For a course in Business Intelligence, or as a supplement for Introduction to MIS, Business Strategy, or MBA Technology Management As Business Intelligence (BI) evolves from an executive support tool to the primary system implemented in almost all medium and large companies, this is the only book that gives students the BI foundation needed to excel as a manager and decision maker in today's new world.
Big Data Analytics Methods
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Author : Peter Ghavami
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-12-16
Big Data Analytics Methods written by Peter Ghavami and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Business & Economics categories.
Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.
Ibm Systems Journal
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Author :
language : en
Publisher:
Release Date : 2007
Ibm Systems Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Advancing The Frontiers Of Education Science And Technology In Nigeria
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Author : Olukoya Ogen
language : en
Publisher: GRIN Verlag
Release Date : 2025-07-23
Advancing The Frontiers Of Education Science And Technology In Nigeria written by Olukoya Ogen and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Education categories.
Document from the year 2025 in the subject Education - Reading Instruction, , language: English, abstract: The book Expanding the Frontiers of Education, Science and Technology in Nigeria; explores the transformative impact of digital technologies on learning, scientific discovery, and technological advancement. With 67 painstakingly peer-reviewed chapters, the book delves into how technologies are reshaping traditional educational models, driving scientific innovation, and creating new opportunities for progress in a rapidly evolving digital landscape. The volume is more than a collection of academic essays as it offers a holistic view of how knowledge can be harnessed for societal transformation, reflecting the depth and breadth of Professor Adeoluwa’s scholarly legacy. Professor Bayode POPOOLA, Vice Chancellor, Adeyemi Federal University of Education, Ondo. ________________________ This monumental edited collection is a fitting tribute to Professor Adeoluwa’s exceptional scholarship and administrative prowess. It underscores the critical need for integrating digital technologies with human-centered approaches and highlights the value of cross-disciplinary collaboration while addressing the ethical dimensions of technological advancement. The book offers a comprehensive roadmap for navigating the complexities and opportunities of the digital age. It provides essential insights for educators, scientists, technologists, policy makers and all those interested in shaping the future of learning, research, and innovation. Prof. Ibiyinka OGUNLADE, Deputy Vice Chancellor, (Academic) Ekiti State University, Ado-Ekiti (2014–2016). ______________________ A rich and elegant multidisciplinary collection of essays that explores the transformative potential of education, science and technology in shaping Nigeria's future. The book delves into the challenges and opportunities presented by the evolving educational landscape, the critical role of science and technology in national development, and strategies for bridging gaps in access, quality, and innovation. It further analyzes how digital tools and platforms can revolutionize learning experiences and improve access to quality education. Most significantly, this book is laced with insightful recommendations for policymakers, educators, researchers, and anyone interested in the development of Nigeria. Prof. Abubakar Sadiq HARUNA, Director, Institute of Africa Higher Education Research and Innovations, Maryam Abacha American University of Nigeria, Kano.
Real Time Analytics
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Author : Byron Ellis
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-21
Real Time Analytics written by Byron Ellis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-21 with Computers categories.
Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.