This book constitutes the proceedings of the 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, held in Aveiro, Portugal, in September 2023. The 34 full papers included in this volume were carefully reviewed and selected from 126 submissions. Additionally, 24 posters and 16 demonstration papers were included in the proceedings. The papers focus on sustainable teaching and learning practices in the post-pandemic educational ecosystem.

This book presents an edited collection of critical discourse situated in the fields of diversity and inclusion broadly, and more specifically, within the discipline of education. Each chapter articulates the importance of educational diversity in achieving the United Nations Sustainable Development Goal 4. The edited collection presents a grounding narrative of equitable learning opportunities and experiences via interpretivist theoretical frameworks and student-centered methodologies. The combination of these approaches, combined within the strong and scholarly-informed social justice lens, reminds us, that the onus of education is to acknowledge, recognise, respect, and engage with the diverse student cohorts, learning needs, and multiple knowledges and cultures that exist in educational contexts. This edited collection creates a holistic discourse around the experiences, interrogations, and innovations occurring within education communities to foreground deeper and more holistic understanding of the intersectionality of diversity and inclusion existing within the contemporary educational settings.

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

Responsive learning and responsible learning have not been considered and utilized appropriately in the past, especially in light of the post-pandemic higher education landscape. A discussion and consideration of the different elements that make up responsive and responsible learning such as agency, agility, mindfulness, connectedness, resourcefulness, active and seamless learning, and regulation of learning are required to advance the field of higher education. Cases on Responsive and Responsible Learning in Higher Education encompasses cases on responsive and responsible learning in higher education and focuses on how the concepts are translated into practice by instructors, learning facilitators, and higher education managers. The book also deals with various practicalities and strategies and adopts existing models and frameworks for 21st century learning. Covering key topics such as learner agency, mindfulness, and personalized learning, this reference work is ideal for administrators, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.