Advancing Stem Education And Innovation In A Time Of Distance Learning

Due to the recent global pandemic, educators of science and technology have had to pivot and adapt their delivery to create alternative virtual means of delivery. The COVID-19 pandemic has influenced a rapid change in teaching and learning in higher education. It is reshaping curriculum demands, the 21st century digital competence challenges, and learning technologies. These changes in education are likely to endure well past the COVID-19 pandemic, making it crucial for educators to consider teaching and learning under the perspectives of digital education and innovation. Advancing STEM Education and Innovation in a Time of Distance Learning highlights the contemporary trends and challenges in science, technology, mathematics, and engineering education. The chapters present findings and discussions of relevant research studies and theoretical frameworks for the provision of science, technology, engineering, and technical subjects. It not only presents successful practice examples from before and during the COVID-19 pandemic, but also provides useful information to assist educators in understanding the demands and challenges of digital education. Covering topics such as ethnically diverse students, foreign language learning, and mobile gamification, this premier reference source is an essential resource for educators and administrators of both K-12 and higher education, pre-service teachers, teacher educators, librarians, government officials, researchers, and academicians.

Chatbots powered by artificial intelligence (AI) have captivated the academic world as tools for human-like interaction across various settings. Within the realm of education, AI-powered chatbots, such as ChatGPT, hold the potential to revolutionize teaching, learning, and research processes. By simulating human conversation through vast data and machine learning algorithms, generative AI has unveiled new opportunities for personalized and adaptive learning experiences. Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI delves into the promising prospects and challenges of applying generative AI in education while employing a critical interdisciplinary perspective. The book offers comprehensive insights into the transformative effects of generative AI on teaching, learning, and research. However, the application of generative AI in education also brings ethical, pedagogical, and technical challenges to the forefront. Concerns over privacy, data protection, and the impact of automation on human interaction and creativity demand thorough examination and practical solutions. Intended for educators, researchers, and administrators in higher education institutions, as well as policymakers and industry professionals at the intersection of AI and higher education. The book encompasses a wide range of themes, including the impact of AI-generated content on student engagement and performance in online learning environments, ethical implications of automating education through AI-powered chatbots, personalization of learning experiences for diverse student populations, and the challenges of integrating generative AI into traditional classroom settings.

The possibilities of the virtual age can provide many valuable resources and opportunities for teachers, preservice teachers, and teacher educators. However, in order to utilize these resources responsibly and productively, the researchers and practitioners of teaching and teacher education must better understand the new potentials and pitfalls related to teaching and learning that are present within the virtual age. The Handbook of Research on Advancing Teaching and Teacher Education in the Context of a Virtual Age focuses on the recent innovations in teaching and teacher educations as well as innovations in the curriculum and pedagogy of teacher education. It deepens discussions related to how teacher education can address educational possibilities within this digital age. Covering topics such as learning material adaptation, teacher talent pipelines, and metaverse, this major reference work is a comprehensive resource for administrators and educators of both K-12 and higher education, teacher educators, pre-service teachers, government officials, librarians, researchers, and academicians.

Each new technological innovation creates new opportunities in the field of education and affects the learning preferences of individuals. In this respect, it is important to investigate the ways to use these technologies in education to ensure learners receive the best possible education. Shaping the Future of Online Learning: Education in the Metaverse discusses up-to-date knowledge and experience regarding emerging technologies, processes, and applications for online learning. The book also provides a guide for technology enthusiasts, online course designers, and institutions that facilitate the innovative technologies in online learning. Covering critical topics such as augmented reality, virtual reality, immersive learning, and gamification, this reference work is ideal for instructional designers, educational software developers, programmers, teachers, policymakers, administrators, principals, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Collaborative approaches to special education that seek to provide innovative, creative, and novel ways to disrupt current structures and practices are necessary to move the field towards a more inclusive model for educating students with disabilities. Multiple professionals are involved in interdisciplinary and multidisciplinary teams to develop and implement individualized education programs (IEPs) for students with disabilities, extending the pool of stakeholders in special education far beyond the special education teacher. Achieving a strong understanding between the multiple professions involved in IEP development and implementation will improve data-based individualization, the fidelity of program implementation, and the sustainability of practices and services. The Handbook of Research on Interdisciplinary Preparation for Equitable Special Education explores and highlights interdisciplinary personnel preparation to advance special education and enhance outcomes for students with disabilities. This book also provides theories and frameworks, examples, and discussions around innovations and lessons learned from interdisciplinary preparation programs and practices. Covering key topics such as educator preparation models, equity, diverse students, and educator competencies, this premier reference source is ideal for administrators, principals, researchers, academicians, practitioners, scholars, instructors, and students.

Digital content and learning technologies are now the norm at all levels of education. However, there is evidence to suggest that this digital shift is on a spectrum and the spectrum impacts learners in different ways. This means that some instructors who seek to integrate digital content may do so using traditional teaching methods while others use innovative practices to engage learners. Those who integrate innovative digital practices align their instructional practice with theories to facilitate student-centered pedagogies that support and improve the depth and scope of student learning. A primary characteristic of student-centered learning is facilitating collaborative learning using digital content and learning technologies to engage students as well as to enhance meaningful learning. The Handbook of Research on Facilitating Collaborative Learning Through Digital Content and Learning Technologies provides K-20 educators with alternative pedagogical and andragogical models that are innovative and incorporate digital content and learning technologies that promote constructive learning. Further, this book explores the relationship between constructivist learning, digital content, and learning technologies. A primary argument in this book is that constructivist teaching strategies such as collaborative learning coupled with digital content and purposeful learning technologies could benefit student learning in ways that are different from those practiced in traditional, non-digital learning environments. Covering topics such as instructional design, self-efficacy, and library engagement, this major reference work is an essential resource for pre-service teachers, teacher educators, faculty and administrators of K-20 education, librarians, researchers, and academicians.

The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.