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R 336.00
Reshaping Learning with Next Generation Educational Technologies
The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages of Reshaping Learning with Next Generation Educational Technologies . This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies. For academic scholars, educators, and researchers, the book presents a wealth of knowledge and practical guidance. By exploring topics such as AI-powered content creation, ethical considerations in education, and AI-driven assessment methods, it equips its readers to shape a future where education transcends traditional boundaries. By fostering collaboration and dialogue across various disciplines, it offers a compelling solution to the challenge posed by the evolving educational landscape. This book is not just an exploration of the issue; it's a comprehensive solution, a roadmap to empower the academic community to embrace the future of education where next-generation technologies and innovative practices redefine learning. It's an invitation to join the journey towards an educational renaissance, where every student and educator can thrive in an era of limitless possibilities.
R 7,680.48
Reshaping Learning with Next Generation Educational Technologies
The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages of Reshaping Learning with Next Generation Educational Technologies. This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies. For academic scholars, educators, and researchers, the book presents a wealth of knowledge and practical guidance. By exploring topics such as AI-powered content creation, ethical considerations in education, and AI-driven assessment methods, it equips its readers to shape a future where education transcends traditional boundaries. By fostering collaboration and dialogue across various disciplines, it offers a compelling solution to the challenge posed by the evolving educational landscape. This book is not just an exploration of the issue; it's a comprehensive solution, a roadmap to empower the academic community to embrace the future of education where next-generation technologies and innovative practices redefine learning. It's an invitation to join the journey towards an educational renaissance, where every student and educator can thrive in an era of limitless possibilities.
R 9,870.26
Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand?Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.
R 5,843.30
Databricks Certified Generative AI Engineer Associate Study Guide
As generative AI becomes central to modern data and machine learning workflows, earning the Databricks Certified Generative AI Engineer Associate certification signals both credibility and technical fluency. This study guide prepares you for this sought-after certification with comprehensive coverage of core GenAI and LLM concepts, practical data management using Delta Lake, and retrieval-augmented generation (RAG) application workflows on the Databricks platform. Written by AI expert Rajaniesh Kaushikk, this book combines hands-on labs, real-world examples, and exam-aligned content to help you build and deploy effective GenAI applications. From prompt engineering and RAG-based solutions to model governance with Unity Catalog, MLflow tracking, and leveraging Hugging Face models in GenAI workflows, this guide supports both your certification journey and real-world AI development. Understand the fundamentals of generative AI, LLMs, and vector databasesPrepare and manage large-scale data using Delta Lake and the data lakehouseBuild and deploy generative AI models with Databricks and MLflowExplore RAG for enhanced model performanceImplement responsible AI practices and model governance with Unity Catalog
R 1,824.00
Emerging Technologies for Next Generation Learning Spaces
This book discusses the development of the next generation learning spaces with emerging technologies. These spaces result from the combined needs of classroom stakeholders, such as instructors and learners, with classroom elements, such as tools and technologies, pedagogy and content. The book presents discussions and studies on issues, possibilities and implications of these changes for next generation education. Novel ideas, and studies on these all-encompassing, blended roles of technologies in next generation learning spaces are clearly presented. Suggestions on how the benefits they offer can be maximized are also discussed. Engaging learning technologies have remained central in education for assisting instructors to teach and learners to learn, more effectively. However, recent technological growth is creating a system in which previous divides between key classroom concepts and stakeholders are getting progressively blurred. This is giving rise to next generation learning spaces where elements and stakeholders are blended into one. The book addresses the future of learning environments based on these perspectives.
R 3,170.98
Next Generation Digital Tools and Applications for Teaching and Learning Enhancement
Digital tools and applications are an intricate part of many classroom communities. In the field of education, there is a need to continually monitor the digital landscape and keep up to date on the tools and applications that are available to classroom teachers and K-12 students. Understanding the ever-changing digital landscape and its impact on teaching and learning is critical to using digital tools and applications effectively and in ways that enhance students' opportunities to learn. Next Generation Digital Tools and Applications for Teaching and Learning Enhancement is a critical scholarly publication that explores digital tools and applications for the PreK-12 classroom and how digital technology can enhance the preparation of teachers. Featuring a wide range of topics including education equity, social media, and teacher education, this book is essential for educators, academicians, curriculum designers, educational software developers, IT specialists, library specialists, researchers, and practitioners.
R 6,389.10
Data-Driven Learning for the Next Generation
Despite advancements in and availability of corpus software in language classrooms facilitating data-driven learning (DDL), the use of such methods with pre-tertiary learners remains rare. This book specifically explores the affordances of DDL for younger learners, testing its viability with teachers and students at the primary and secondary years of schooling. It features eminent and up-and-coming researchers from Europe, Asia, and Australasia who seek to address best practice in implementing DDL with younger learners, while providing a wealth of empirical findings and practical DDL activities ready for use in the pre-tertiary classroom.Divided into three parts, the volume's first section focuses on overcoming emerging challenges for DDL with younger learners, including where and how DDL can be integrated into pre-tertiary curricula, as well as potential barriers to this integration. It then considers new, cutting-edge innovations in corpora and corpus software for use with younger learners in the second section, before reporting on actual DDL studies performed with younger learners (and/or their teachers) at the primary and secondary levels of education.This book will appeal to post-graduate students, academics and researchers with interests in corpus linguistics, second language acquisition, primary and secondary literacy education, and language and educational technologies.
R 2,359.01
