This book explores trends in learning and knowledge analytics in open education, as explored in proceedings papers from AECT-LKAOE 2015 International Research Symposium. The chapters investigate various issues surrounding open education in all disciplines, such as learning design in open-ended learning environments, MOOCs (Massive Open Online Courses), learning analytics studies and applications, and technology and new media. The chapter authors provide guidance for how to design and develop most effective, efficient, and appealing instruction as well as suggesting learning strategies relevant to the open education era.

Novel trends and innovations have enhanced contemporary educational environments. When applied properly, these computing advances can create enriched learning opportunities for students. Mobile Technologies and Augmented Reality in Open Education is a pivotal reference source for the latest academic research on the integration of interactive technology and mobile applications in online and distance learning environments. Highlighting scholarly perspectives across numerous topics such as wearable technology, instructional design, and flipped learning, this book is ideal for educators, professionals, practitioners, academics, and graduate students interested in the role of augmented reality in modern educational contexts.

Online and virtual education is continually integrated in university classrooms. While online learning provides a more cost-effective alternative for students, educators must also analyze the psychology of online learners and identify ways to support their growth and development in their respective instructional settings. Student-Centered Virtual Learning Environments in Higher Education is a collection of innovative research that focuses on connecting contextual analyses of student-focused online instruction with quality assurance principles to improve higher education. Highlighting a range of topics including instructional design, professional development, and student engagement, this book is ideally designed for educators, software developers, instructional designers, educational administration, academicians, and students seeking current research on emerging principles and practices related to designing, implementing, and evaluating virtual teaching and learning.

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply. - Presents the application of innovative AI techniques to collaborative learning activities - Offers strategies to provide automatic and effective tutoring to students' activities - Offers methods to collect, analyze and correctly visualize learning data in educational environments

The evolution of information technologies, mobile devices, and social media as well as the needs of students, workers, and academics have experienced rapid changes in the past several years. This complex and dynamic reality requires new forms of delivery of learning content to students, the building of special learning environments, and new teaching methodologies for academics. Opening Up Education for Inclusivity Across Digital Economies and Societies is an essential reference source that aims to foster the international exchange of academic insights and approaches in order to broaden visibility in the development of technology for education, establish an international platform for interactions on information technology and application in education, accelerate innovation in education technology, and analyze the latest achievements and progress in new and emerging information technology for education with a special focus on higher education institutions. The book addresses applications of technology use and digital competence development in education systems around the world including both specific uses in classrooms and broader uses in national and regional policies. The book is ideally designed for educators, administrators, policymakers, managers, politicians, and academicians.

In the current educational environment, there has been a shift towards online learning as a replacement for the traditional in-person classroom experience. With this new environment comes new technologies, benefits, and challenges for providing courses to students through an entirely digital environment. With this shift comes the necessary research on how to utilize these online courses and how to develop effective online educational materials that fit student needs and encourage student learning, motivation, and success. The optimization of these online tools requires a deeper look into curriculum, instructional design, teaching techniques, and new models for student assessment and evaluation. Information on how to create valuable online course content, engaging lesson plans for the digital space, and meaningful student activities online are only a few of many current topics of interest for promoting student achievement through online learning. The Research Anthology on Developing Effective Online Learning Courses provides multiple perspectives on how to develop engaging and effective online learning courses in the wake of the rapid digitalization of education. This book includes topics focused on online learners, online course content, effective online instruction strategies, and instructional design for the online environment. This reference work is ideal for curriculum developers, instructional designers, IT consultants, deans, chairs, teachers, administrators, academicians, researchers, and students interested in the latest research on how to create online learning courses that promote student success.

Offering the latest developments in online education in the era of big data, this book explores theories, technologies, and practices in the field of data-driven online learning support services using learning analytics. This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform, the rise of learning analytics, and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3–5 focus on the three types of learning support that are closely related to learning performance and satisfaction, including the promotion of social learning, electronic learning assessment based on the learning process, and personalized tutoring and support. This book innovatively develops the concept, theory, and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples. This book will be essential reading for students and scholars of distance and online education, educational technology, and audiovisual education.

As we navigate post-pandemic educational recovery and future-oriented design, the Handbook of Research in Online Learning: Insights and Advances emerges as a scholarly authority to illuminate existing questions and catalyze conversations on imperative transformations in education. Tailored for researchers, designers, educators, administrators, and stakeholders, this handbook delves into the nuanced landscape of online learning. Curated by leading experts, each chapter provides a deep exploration of critical online teaching and learning dimensions. Whether you're navigating the complexities of instructional design, exploring the impact of digital learning on diverse student populations, or delving into the transformative potential of AI, each chapter illuminates critical aspects of online education. It merges current significant works with unpublished manuscripts, embodying the interdisciplinary essence of online learning research. Grounded in diverse theoretical frameworks and research methods, it offers theoretical insights and actionable guidance for cutting-edge educational methodologies. This handbook is not just a compendium; it's an indispensable guide for shaping the future of education. Contributors are: Michael Ahlf, Stephen Allen, Tonya Amankwatia, Fatih Ari, Ismahan Arslan-Ari, Michael K. Barbour, Gail Alleyne Bayne, Karen Bellnier, M. Aaron Bond, Victoria Brown, George Bradford, William Cain, Sumie Chan, Lauren Cifuentes, Laura DaVinci, Gina Deckard, Shernette Dunn, Anne Fensie, Holly Fiock, Sara Flowers, Carla Karen Fortune, Theodore Frick, Michael M. Grant, Alexis Guethler, Dan He, Atsusi "2c" Hirumi, Charles B. Hodges, Stephanie Hostetter, Michael Houdyshell, Fethi A. Inan, Frank Jamison, Amir Kalan, Meryl Krieger, Jessica Lantz, Mary Lefaiver, Juhong Christie Liu, Noble Lo, Barbara Lockee, Fatemeh Marzban, Trey Martindale, Sara McNeil, Laura McNeill, Stephanie Moore, Martha Lorena Obermeier, Larisa Olesova, Jennifer Jihae Park, Sanghoon Park, Yujin Park, AnthTony Pina, Drew Polly, Yingxiao Qian, Thomas Reeves, Christiane Reilly, Jennifer Richardson, Aubrey Rogowski, Leanne Rutherford, Kay Seo, Sanga Song, Edwin Teye Sosi, Stefan Stenbom, Sharon Stidham, David Tai, Hengtao Tang, Torrey Trust, Shannon Tucker, Denis Unal, Lucas Vasconcelos, Charles Xiaoxue Wang, Florence Williams, Ying Xie and Fan Xu.

This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

The multiple, related fields encompassed by this Major Reference Work represent a convergence of issues and topics germane to the rapidly changing segments of knowledge and practice in educational communications and technology at all levels and around the globe. There is no other comparable work that is designed not only to gather vital, current, and evolving information and understandings in these knowledge segments but also to be updated on a continuing basis in order to keep pace with the rapid changes taking place in the relevant fields. The Handbook is composed of substantive (5,000 to 15,000 words), peer-reviewed entries that examine and explicate seminal facets of learning theory, research, and practice. It provides a broad range of relevant topics, including significant developments as well as innovative uses of technology that promote learning, performance, and instruction. This work is aimed at researchers, designers, developers, instructors, and other professional practitioners.