Theory Informing And Arising From Learning Analytics
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Theory Informing and Arising from Learning Analytics
Theory Informing and Arising from Learning Analytics delves into the dynamic intersection of learning theory and educational data analysis within the field of Learning Analytics (LA). This groundbreaking book illuminates how theoretical insights can revolutionize data interpretation, reshape research methodologies, and expand the horizons of human learning and educational theory. Organized into three distinct sections, it offers a comprehensive introduction to the role of theory in LA, features contributions from leading scholars who apply diverse theoretical frameworks to their research, and explores cutting-edge topics where new theories are emerging. A standout feature is the inclusion of three “in conversation” chapters, where expert panels dive into the topics of ethics, self-regulated learning, and qualitative computation, enriched by accompanying podcasts that provide fresh, thought-provoking perspectives. This book is an invaluable resource for researchers, sparking debates on the evolving role of theory in LA and challenging conventional epistemological views. Published by Springer, it is an essential read for both aspiring and seasoned scholars eager to engage with the forefront of LA research.
Digital Transformation and Sustainability in Higher Education
Digital transformation and sustainability have become pivotal in higher education, reshaping how institutions operate, teach, and engage with communities. As universities adopt technologies to enhance learning experiences and streamline administrative processes, they align these innovations with environmental and social responsibility. This convergence presents both opportunities and challenges, demanding strategic integration of smart infrastructure, data-driven decision-making, and sustainable practices. By embracing digital technology and sustainability, higher education institutions can improve educational outcomes and operational efficiency while addressing the global challenges of climate change and social equity. Digital Transformation and Sustainability in Higher Education explores the integration of digital technology into higher education practices for sustainable development. It examines the use of intelligent technologies for enhanced skill development and student learning. This book covers topics such as microcredentials, social responsibility, and gamification, and is a useful resource for educators, computer engineers, academicians, researchers, and data scientists.
Artificial Intelligence in Education
Author: Alexandra I. Cristea
language: en
Publisher: Springer Nature
Release Date: 2025-08-20
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education