Applying Machine Learning In Science Education Research
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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.
Handbook Of Research On Science Learning Progressions
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Author : Hui Jin
language : en
Publisher: Taylor & Francis
Release Date : 2024-07-30
Handbook Of Research On Science Learning Progressions written by Hui Jin and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Education categories.
Gathering contributions from leading scholars around the world, this handbook offers a comprehensive resource on the most recent advances in research surrounding the theories, methodologies, and applications of science learning progressions. Researchers and educators have used learning progressions to guide the design and alignment of curriculum, instruction, and assessment, and to help students learn scientific knowledge and practices in a coherent and connected way across multiple years. This handbook lays out the development and current state of research in this field across four sections: learning progression theories and methodologies; learning progressions to promote student learning; teachers’ learning and use of learning progressions; and new technology in learning progression research. Featuring internationally-recognized experts in learning progression research as well as up-and-coming voices, the Handbook of Research on Science Learning Progressions offers a defining new resource for researchers, teachers and teacher educators, and curriculum and assessment developers in science education.
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.
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.
Artificial Intelligence In Education
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Author : Myint Swe Khine
language : en
Publisher: Springer Nature
Release Date : 2024-10-30
Artificial Intelligence In Education 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 2024-10-30 with Education categories.
This comprehensive volume explores the possibilities, challenges and ethical considerations of Artificial Intelligence (AI) in education through a machine-generated literature review that examines emerging research trends and findings. Each chapter presents summaries of pre-defined topics and includes a human-written introduction by the book editor. It covers critical areas such as educational data mining, learning analytics, personalised learning, adaptive assessment, intelligent tutoring systems, as well as the ethical challenges of AI in education. This volume provides valuable insights for educators, researchers, policymakers and students seeking to understand the transformative potential of AI in education. It serves as a reference point for navigating the evolving landscape of AI-assisted learning and offers a glimpse into the future of education in an AI-driven world. The auto-summaries were generated by a recursive clustering algorithm using the Dimensions Auto-summariser from Digital Science. The editor of this book selected the SN content to be auto-summarised and decided the order of appearance. Please note that these are extractive auto-summaries, consisting of original sentences, but are not representative of the original paper, as we do not show the full length of the publication. Please note that only published SN content is represented here and that machine-generated books are still at an experimental stage.
Handbook Of Research On Science Education
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Author : Norman G. Lederman
language : en
Publisher: Taylor & Francis
Release Date : 2023-03-17
Handbook Of Research On Science Education written by Norman G. Lederman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Education categories.
Volume III of this landmark synthesis of research offers a comprehensive, state-of-the-art survey highlighting new and emerging research perspectives in science education. Building on the foundations set in Volumes I and II, Volume III provides a globally minded, up-to-the-minute survey of the science education research community and represents the diversity of the field. Each chapter has been updated with new research and new content, and Volume III has been further developed to include new and expanded coverage on astronomy and space education, epistemic practices related to socioscientific issues,design-based research, interdisciplinary and STEM education, inclusive science education, and the global impact of nature of science and scientific inquiry literacy. As with the previous volumes, Volume III is organized around six themes: theory and methods of science education research; science learning; diversity and equity; science teaching; curriculum and assessment; and science teacher education. Each chapter presents an integrative review of the research on the topic it addresses, pulling together the existing research, working to understand historical trends and patterns in that body of scholarship, describing how the issue is conceptualized within the literature, how methods and theories have shaped the outcomes of the research, and where the strengths, weaknesses, and gaps are in the literature. Providing guidance to science education faculty, scholars, and graduate students, and pointing towards future directions of the field, Handbook of Research on Science Education Research, Volume III offers an essential resource to all members of the science education community.
Utilizing Ai For Assessment Grading And Feedback In Higher Education
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Author : Al Harrasi, Nasser Hamed
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Utilizing Ai For Assessment Grading And Feedback In Higher Education written by Al Harrasi, Nasser Hamed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Education categories.
As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively. With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education.
Contemporary Issues In Science And Technology Education
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Author : Ben Akpan
language : en
Publisher: Springer Nature
Release Date : 2023-02-24
Contemporary Issues In Science And Technology Education written by Ben Akpan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-24 with Science categories.
This edited volume discusses major issues in present-day science and technology education (STE). It is divided into three thematic sections: philosophical foundations and curriculum development; sustainable development, technology and society; and the learning sciences and 21st century skills. Section I examines the history and future of STE curriculum development, along with specific issues within this dynamic area. Section II explores sustainable development in three important aspects: economic development, social development, and environmental protection. Section III covers the 21st century skills that are of overarching importance to the success of learners in school and the world of work. Anchoring each chapter is an assemblage of veteran science and technology education specialists selected from across the world. The book’s target is a worldwide audience of undergraduate / post-graduate students and their teachers, as well as researchers. This book’s exploration of the ever-increasing advances in STE and its narrative writing style will be of interest to a broad range of readers.
Applied Assistive Technologies And Informatics For Students With Disabilities
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Author : Rajesh Kaluri
language : en
Publisher: Springer Nature
Release Date : 2024-05-28
Applied Assistive Technologies And Informatics For Students With Disabilities written by Rajesh Kaluri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-28 with Computers categories.
The book “Applied Assistive Technologies and Informatics for Students with Disabilities” provides a comprehensive guide to assist students with learning disabilities in higher education via modern assistive technologies and informatics. This book will take us on a tour of the various modern assistive technologies, such as artificial intelligence (AI), blockchain, computer vision (CV), text analytics (TA), the metaverse, human-computer interaction (HCI), digital twins (DT), and federated learning (FL), and how they support higher education students with learning disabilities. This book is intended for students with learning disabilities, scientists and researchers, lecturers and teachers, academic and corporate libraries, practitioners, and professionals who are interested in providing inclusive education to students with learning disabilities through the application of modern assistive technologies and informatics. This book is ideal for readers who are new to the subject and knowledgeable about the principles of inclusive education. In addition, it is a fantastic resource for teachers and parents assisting students with learning disabilities. This book can be a powerful tool to educate more students about learning disabilities, which can help eradicate the bullying of these students.
A Guide To Applied Machine Learning For Biologists
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Author : Mohammad "Sufian" Badar
language : en
Publisher: Springer Nature
Release Date : 2023-06-21
A Guide To Applied Machine Learning For Biologists written by Mohammad "Sufian" Badar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-21 with Science categories.
This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.