Machine Learning In Educational Sciences

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Machine Learning In Educational Sciences

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Author : Myint Swe Khine
language : en
Publisher: Springer Nature
Release Date : 2024-02-24

Machine Learning In Educational Sciences written by Myint Swe Khine and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-24 with Education categories.

This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences.

Regression And Machine Learning For Education Sciences Using R

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Author : Cody Dingsen
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-01

Regression And Machine Learning For Education Sciences Using R written by Cody Dingsen and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Psychology categories.

This book provides a conceptual introduction to regression analysis and machine learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence for educational and psychological decision-making. Offering an applications-oriented approach while mapping out fundamental methodological developments, this book lays a sound foundation for understanding essential regression and machine learning concepts for data analytics. The first part of the book discusses regression analysis and provides a sturdy foundation to understand the logic of machine learning. With each chapter, the discussion and development of each statistical concept and data analytical technique is presented from an applied perspective, with the statistical results providing insights into decisions and solutions to problems using R. Based on practical examples, and written in a concise and accessible style, the book is learner-centric and does a remarkable job in breaking down complex concepts. Regression and Machine Learning for Education Sciences Using R is primarily for students or practitioners in education and psychology, although individuals from other related disciplines can also find the book beneficial. The dataset and examples used in the book are from an educational setting, and students will find that this text provides a good preparation ground for studying more statistical and data analytical materials.

Applying Machine Learning In Science Education Research

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Author : Peter Wulff
language : en
Publisher: Springer Nature
Release Date : 2025-02-28

Applying Machine Learning In Science Education Research written by Peter Wulff and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Science categories.

This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context. The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education. This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.

International Research In Education Sciences X

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Author : Mustafa Caner
language : en
Publisher: EĞİTİM YAYINEVİ
Release Date : 2024-05-07

International Research In Education Sciences X written by Mustafa Caner and has been published by EĞİTİM YAYINEVİ this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-07 with Business & Economics categories.

Welcome to the tenth instalment of “International Research in Education Sciences,” a compilation that delves into the cutting-edge developments and insightful studies shaping the education landscape. This volume brings together five thought-provoking chapters, each contributing a unique perspective to the ever-evolving field of education. As we journey through these chapters, it becomes evident that each contribution adds a unique layer to our understanding of educational sciences. The diverse topics explored within this volume reflect the dynamic nature of the field and its continual evolution. We extend our gratitude to the contributing authors for their dedication to advancing knowledge and contributing to the broader discourse on education. May this collection inspire educators, researchers, and policymakers as they navigate the complex terrain of education sciences in the 21st century.

Recent Researches In Education Sciences 2024

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Author : Cansu FİLİK İŞÇEN
language : en
Publisher: Livre de Lyon
Release Date : 2024-12-22

Recent Researches In Education Sciences 2024 written by Cansu FİLİK İŞÇEN and has been published by Livre de Lyon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-22 with Education categories.

Multidisciplinary International Conference On Innovations In Education Science Technology Iciest 2023

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Author : Prof. (Dr.) B.K Sarkar
language : en
Publisher: GEH PRESS
Release Date : 2023-12-15

Multidisciplinary International Conference On Innovations In Education Science Technology Iciest 2023 written by Prof. (Dr.) B.K Sarkar and has been published by GEH PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Art categories.

The central motive of the International Conference is to throw up a number of new ideas and solutions to address the present-day challenges in the fields of 1: Science, Technology, Engineering and Mathematics. 2: Economics / Accounts. 3: Architecture and Design, Business, Divinity, Education, Engineering, Environmental Studies and Forestry, Family and Consumer Science, Health Sciences ,Human Physical Performance and Recreation, Journalism, Media Studies and Communication ,Law ,Library and Museum Studies ,Military Sciences ,Public Administration ,Social Work ,Transportation, Fine arts, Agricultural education, Management ,Social sciences , Physics, Chemistry, Business and commerce. 4: Health oriented education, Medical, Pharmacy, Dentel, Ayurveda, and Yoga. 5: English, Regional Language(s), Maths, Science, Social Sciences, Physical Education Computer Basics, Arts (Drawing) 6: History, Languages and linguistics, Literature, Performing arts, Philosophy, Religion and Religious studies, Visual arts. 7: Anthropology, Archaeology, Area Studies, Cultural and Ethnic Studies, Economics Gender and Sexuality Studies, Geography, Political Science, Psychology, Sociology. 8: Chemistry, Earth Sciences, Life Sciences, Physics, Space Sciences. 9: Computer Sciences, Logic, Mathematics, Statistics, Systems Science. The scope of the conference is broad and covers many aspects of international research prospective. This conference aims to provide a scholarly platform for participants to publish their research in reputed International Journals. The authors have incredible opportunity to present/5- Minute Video their research virtually and present findings worldwide that will not only help them gain the necessary exposure that they need to make their research work known in global scientific circles but also open the door to incredible opportunities for collaboration and conducting further research.

Driving Quality Education Through Ai And Data Science

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Author : Murugan, Thangavel
language : en
Publisher: IGI Global
Release Date : 2025-02-13

Driving Quality Education Through Ai And Data Science written by Murugan, Thangavel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.

Artificial intelligence (AI) and data science have the potential to address the challenges the education field faces. By integrating AI into the educational system, such as through personalized learning experiences to intelligent tutoring systems, AI can help tailor educational content to individual students' needs, improving engagement and outcomes. Data science can be used to analyze educational data, uncover insights, and inform decision-making. The result is that teachers may be given the tools and knowledge they need to excel in the classroom. This shift not only improves educational outcomes but also prepares students for a data-driven future. Driving Quality Education Through AI and Data Science explores how advancements in AI and data science can be utilized to enhance the quality of education. It provides insights, strategies, and best practices for leveraging AI and data science technologies to enhance teaching and learning. Covering topics such as data-driven decisions, at-risk students, and student performance prediction, this book is an excellent resource for educators, policymakers, professionals, researchers, scholars, academicians, and more.

Modern Research And Studies In Educational Sciences Iii

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Author : Ayşe Gül ÇİRKİNOĞLU ŞEKERCİOĞLU
language : en
Publisher: Livre de Lyon
Release Date : 2025-03-23

Modern Research And Studies In Educational Sciences Iii written by Ayşe Gül ÇİRKİNOĞLU ŞEKERCİOĞLU and has been published by Livre de Lyon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Education categories.

Issues In Educational Science And Technology 2013 Edition

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Author :
language : en
Publisher: ScholarlyEditions
Release Date : 2013-05-01

Issues In Educational Science And Technology 2013 Edition written by and has been published by ScholarlyEditions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-01 with Education categories.

Issues in Educational Science and Technology: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Internet and Higher Education. The editors have built Issues in Educational Science and Technology: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Internet and Higher Education in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Educational Science and Technology: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Uses Of Artificial Intelligence In Stem Education

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Author : Xiaoming Zhai
language : en
Publisher: Oxford University Press
Release Date : 2024-10-09

Uses Of Artificial Intelligence In Stem Education written by Xiaoming Zhai and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Computers categories.

In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. Uses of AI in STEM Education, comprising 25 chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world.