“New Paradigm in Digital Classroom & Smart Learning” explores the transformative shifts shaping the future of education in the digital age. This volume provides a cutting-edge advancement in educational technology, fostering innovation in teaching and learning practices. It emphasizes the ethical and social implications of digital tools, promoting responsible and inclusive approaches to virtual learning communities. This volume also explores the most recent innovations and significant developments in the domain of Digital Classroom & Smart Learning, offering a thorough overview of the current landscape. It encompasses various dimensions including:
Educational Technology Integration and Innovation
Ethical and Social Implications of Educational Technology
Inclusive and Equitable Practices in Virtual Learning Communities
Responsible Technology in Digital Assessment and Feedback
By merging theoretical knowledge with practical applications, this book empowers educators, researchers, practitioners, and students to navigate and excel in the evolving landscapes of Digital Classroom & Smart Learning with a focus on responsible technology for assessment and feedback, the book highlights personalized, equitable, and efficient solutions for modern educational challenges. Serving as a comprehensive guide, it empowers educators, researchers, and students to navigate and survive in the rapidly evolving digital learning ecosystem.
Edited by:
Maria Virvou, Fred Paas, Srikanta Patnaik Imprint: Springer International Publishing AG Country of Publication: Switzerland Volume: 54 Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031986062 ISBN 10: 3031986067 Series:Learning and Analytics in Intelligent Systems Pages: 662 Publication Date:06 July 2025 Audience:
Professional and scholarly
,
College/higher education
,
Undergraduate
,
Further / Higher Education
Format:Hardback Publisher's Status: Active
.- Application of intelligent technology in student management.- Design and Implementation of an Intelligent Career Planning System for College Students via Deep Learning.- Research on Curriculum Evaluation and Quality Management of Vocational Education Based on Deep Learning.- Research on Optimization of Hint Words of Large Model in Multimodal Learning.- Machine Learning Applications in the Field of Student Performance Prediction, etc.