Uses Of Artificial Intelligence In Stem Education
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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 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.
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.
Machine Learning Natural Language Processing And Psychometrics
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Author : Hong Jiao
language : en
Publisher: IAP
Release Date : 2024-04-01
Machine Learning Natural Language Processing And Psychometrics written by Hong Jiao and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Computers categories.
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better understand the assessment products or accuracy and the process how an item product was attained. The analysis of the conventional and non-conventional assessment data calls for more methodology other than the latent trait modeling. Natural language processing (NLP) methods and machine learning algorithms have been successfully applied in automated scoring. It has been explored in providing diagnostic feedback to test-takers in writing assessment. Recently, machine learning algorithms have been explored for cheating detection and cognitive diagnosis. When the measurement field promote the use of assessment data to provide feedback to improve teaching and learning, it is the right time to explore new methodology and explore the value added from other data sources. This book presents the use cases of machine learning and NLP in improving the assessment theory and practices in high-stakes summative assessment, learning, and instruction. More specifically, experts from the field addressed the topics related to automated item generations, automated scoring, automated feedback in writing, explainability of automated scoring, equating, cheating and alarming response detection, adaptive testing, and applications in science assessment. This book demonstrates the utility of machine learning and NLP in assessment design and psychometric analysis.
Global Perspectives On Micro Learning And Micro Credentials In Higher Education
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Author : Omona, Kizito
language : en
Publisher: IGI Global
Release Date : 2024-02-27
Global Perspectives On Micro Learning And Micro Credentials In Higher Education written by Omona, Kizito and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Education categories.
In the rapidly evolving landscape of higher education, where the acquisition of knowledge is a lifelong pursuit, educators and institutions are redefining the paradigms of learning through innovative approaches. Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education delves into the intricate tapestry of contemporary education, where the convergence of advanced pedagogies and cutting-edge technologies is reshaping traditional boundaries. As the realms of chatbots, gamification, and hybrid learning intersect, a new era of holistic education emerges, seamlessly blending theoretical prowess with experiential wisdom. The book unfurls with meticulous exploration of pivotal themes, embracing the nuanced realms of instructional design, learning analytics, and library services tailored for the modern educational era. From the granular landscapes of microlearning to the macroscopic view of global teacher retention strategies, the book leaves no stone unturned. This book is a symphony of intellectual rigor, orchestrated to resonate with educators, administrators, researchers, and all stakeholders vested in the future of learning.
Teaching Science In Elementary And Middle School
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Author : Joseph S. Krajcik
language : en
Publisher: Taylor & Francis
Release Date : 2025-09-11
Teaching Science In Elementary And Middle School written by Joseph S. Krajcik and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-11 with Education categories.
This essential science methods resource integrates principles of learning and motivation with practical teaching ideas for the elementary and middle school science classroom. It employs project-based learning (PBL) to enable educators to engage their students in meaningful, real-world questioning about the world. It provides concrete strategies for meeting the Framework for K–12 Science Education. Chapters offer examples of project-based lessons to help teachers support children in varying modes of inquiry, such as asking critical questions, designing investigations, constructing models, and developing evidence-based explanations. Features in the Sixth Edition include: Instruction on using PBL to make connections to Common Core Standards for Mathematics and English Language Arts An increased attention to assessment for learning A focus on three-dimensional learning. This book is ideal for pre-service and in-service elementary and middle school science and STEM teachers and is designed for use in related methods courses or professional learning opportunities.
Artificial Intelligence In Education Posters And Late Breaking Results Workshops And Tutorials Industry And Innovation Tracks Practitioners Doctoral Consortium Blue Sky And Wideaied
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Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-07-23
Artificial Intelligence In Education Posters And Late Breaking Results Workshops And Tutorials Industry And Innovation Tracks Practitioners Doctoral Consortium Blue Sky And Wideaied written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
This three-volume set CCIS 2590-2592 constitutes poster papers and late breaking results, workshops and tutorials, practitioners, industry and policy track, doctoral consortium, blue sky and wideAIED papers presented at the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 72 full papers and 73 short papers (72 of them presented as posters) presented in this book were carefully reviewed and selected from 296 submissions. They are organized in topical sections as follows: Part I: BlueSky; Practitioners, Industry and Policy; WideAIED; Doctoral Consortium. Part II: Late Breaking Results; Part III: Late Breaking Results; Workshops and Tutorials.
Artificial Intelligence In Education
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Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-08-20
Artificial Intelligence In Education written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education
Integrating Personalized Learning Methods Into Steam Education
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Author : Son, Nguyen Duc
language : en
Publisher: IGI Global
Release Date : 2025-03-04
Integrating Personalized Learning Methods Into Steam Education written by Son, Nguyen Duc and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Education categories.
There is a growing need to provide learners with essential abilities like critical thinking, creativity, problem-solving, and teamwork to enhance their overall growth and achievement. Incorporating sustainability into individualized STEAM education may foster students' ability to think critically about environmental and societal matters. Pragmatic tactics and materials provide remedies for establishing a more comprehensive and effective educational setting for incorporating individualized learning into classrooms. Thus, the adoption of sustainable learning approaches may enhance students' analytical abilities to tackle worldwide concerns. Integrating Personalized Learning Methods Into STEAM Education explores the integration of personalized learning methods into STEAM education. It discusses how to enhance student engagement and academic performance by customizing educational experiences to align with the distinct interests, capabilities, and cognitive inclinations of individual students. Covering topics such as student engagement, interdisciplinary thinking, and economic empowerment, this book is an excellent resource for educators, educational leaders, administrators, curriculum developers, professionals, researchers, scholars, academicians, and more.
Generative Artificial Intelligence And Fifth Industrial Revolution
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Author : Domenico Marino
language : en
Publisher: Springer Nature
Release Date : 2025-02-01
Generative Artificial Intelligence And Fifth Industrial Revolution written by Domenico Marino and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Computers categories.
In this digital era, artificial intelligence (AI) is emerging as a catalyst for transformation across numerous fields, ranging from, economics, environment, finance to healthcare, AI's integration into daily operations and strategic planning presents a pivotal shift towards data-driven decision-making and automation. Each chapter in this volume addresses a unique aspect of AI, from theoretical frameworks and technological advancements to practical applications and ethical considerations. This volume not only highlights the advancements and applications of AI but also addresses the critical challenges of bias, privacy, and ethical implications associated with AI deployment. Through a multidisciplinary approach, it aims to provide readers with a nuanced understanding of AI's role in modern society and its potential to address some of the most pressing challenges of our times. As we stand on the brink of technological revolutions, this volume serves as a guide and a critical examination of the potential pathways AI might forge in the future. It is an essential read for academics, industry professionals, policymakers, and anyone interested in the profound changes AI is poised to bring. This is a multi-author book, but not a collection of essays. In fact, although signed by different authors, all the chapters of the book follow a line of development which is traced in the first part of the book and deepen the various aspects in logical order. The various parts of the book will explore the most important features of AI and analyse the implications of AI in Economics, Law, Policies, Smart Citizens and Territorial Aspects.