New Paradigm in Digital Classroom and Smart Learning (eBook, PDF)

Proceedings of the International Conference on Digital Classroom and Smart Learning-2024
Redaktion: Virvou, Maria; Patnaik, Srikanta; Paas, Fred

• Format: PDF

Produktbeschreibung

"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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 662
• Erscheinungstermin: 5. Juli 2025
• Englisch
• ISBN-13: 9783031986079
• Artikelnr.: 74822926

Inhaltsangabe

.- 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.