Xiaoshu Xu – författare

The Development of Personal Learning Environments in Higher Education explores how today’s knowledge-based, learner-centered virtual platforms, which often limit teaching to a complimentary facilitation role, can compromise with the requirements and regulations of colleges and universities. Personal Learning Environments (PLEs) driven by culturally responsive teaching and learner autonomy represent a shift in the higher education paradigm, but how can scholars, designers, administrators, and faculty ensure effective, institutionally compatible construction and management of these systems? This book offers forward-thinking insights into the variety of student-centered learning interactions, particularly culturally and linguistically responsive pedagogies, that can be integrated into PLEs. Attending to quality assessment rubrics, the nuances of stakeholders’ needs, and theoretically sound frameworks, these cross-cultural, interdisciplinary chapters explore how leaders, instructors, technologists, and learners can form a precise yet flexible ecosystem to fully realize PLEs in which co-created, intercultural narratives yield rich, relevant digital learning experiences.

The Development of Personal Learning Environments in Higher Education explores how today’s knowledge-based, learner-centered virtual platforms, which often limit teaching to a complimentary facilitation role, can compromise with the requirements and regulations of colleges and universities. Personal Learning Environments (PLEs) driven by culturally responsive teaching and learner autonomy represent a shift in the higher education paradigm, but how can scholars, designers, administrators, and faculty ensure effective, institutionally compatible construction and management of these systems? This book offers forward-thinking insights into the variety of student-centered learning interactions, particularly culturally and linguistically responsive pedagogies, that can be integrated into PLEs. Attending to quality assessment rubrics, the nuances of stakeholders’ needs, and theoretically sound frameworks, these cross-cultural, interdisciplinary chapters explore how leaders, instructors, technologists, and learners can form a precise yet flexible ecosystem to fully realize PLEs in which co-created, intercultural narratives yield rich, relevant digital learning experiences.

The book explores how universities can harness the power of artificial intelligence (AI) while safeguarding privacy, equity, and academic values.

Focusing on China’s rapidly evolving higher education sector, this book examines the opportunities that AI presents, including personalized learning, timely feedback, accelerated research, and improved administrative efficiency. It also addresses key challenges, such as data exposure, algorithmic bias and opaque automation. Drawing on established frameworks such as DigCompEdu, TRI, and UTAUT, the book offers practical, step-by-step strategies. These strategies help build essential competencies in pedagogy, ethics, and cybersecurity. The book offers a clear, non-technical toolkit to help educators and undergraduates assess their AI and information security competence. The case studies range from adaptive learning in large courses to a blockchain-based identity management prototype. Additionally, the book includes policy analyses of China''s national and institutional governance models, providing actionable insights for responsible AI use.

This book will appeal to librarians, booksellers, faculty developers, and administrators seeking practical, future-ready approaches for AI-enabled, security-conscious universities.

The book explores how universities can harness the power of artificial intelligence (AI) while safeguarding privacy, equity, and academic values.

Focusing on China’s rapidly evolving higher education sector, this book examines the opportunities that AI presents, including personalized learning, timely feedback, accelerated research, and improved administrative efficiency. It also addresses key challenges, such as data exposure, algorithmic bias and opaque automation. Drawing on established frameworks such as DigCompEdu, TRI, and UTAUT, the book offers practical, step-by-step strategies. These strategies help build essential competencies in pedagogy, ethics, and cybersecurity. The book offers a clear, non-technical toolkit to help educators and undergraduates assess their AI and information security competence. The case studies range from adaptive learning in large courses to a blockchain-based identity management prototype. Additionally, the book includes policy analyses of China''s national and institutional governance models, providing actionable insights for responsible AI use.

This book will appeal to librarians, booksellers, faculty developers, and administrators seeking practical, future-ready approaches for AI-enabled, security-conscious universities.