By employing learning analytics methodology and big data in Learning Management Systems (LMSs), this volume conducts data-driven research to identify and compare learner interaction patterns in Massive Private Online Courses (MPOCs). The uncertainties about the temporal and sequential patterns of online interaction, and the lack of specific knowledge and methods to investigate details of LMSs' dynamic interaction traces have affected the improvement of online learning effectiveness. While most research focuses on Massive Open Online Courses (MOOCs), little is investigating the learners’ interaction behaviors in MPOCs. This book attempts to fill in the gaps by including research in the past decades, big data in education presenting micro-level interaction traces, analytics-based learner interaction in massive private open courses, and a case study. Aiming to bring greater efficiency and deeper engagement to individual learners, instructors, and administrators, the title provides a reference to those who need to evaluate their learning and teaching strategies in online learning. It will be particularly useful to students and researchers in the field of Education. This research was funded by Liaoning Social Science Planning Fund Program in China, grant number [L21BSH002].

This timely volume highlights the novel ways in which cutting-edge virtual and augmented reality (VR and AR) technology is being used in STEM education. Today, there are many exciting advances occurring in Immersive Learning Environments (ILEs) and innovative applications in STEM education. Recent breakthroughs in technologies such VR, AR, and Mixed Reality (MR) as well as Cross Reality (XR) that leverages VR, AR, and MR are finally making it feasible for educators in STEM to adopt ILEs in their classrooms in a scalable manner. Edited by experienced XR researchers in STEM education, Wang, Ryoo, and Winkelmann, the book focuses on the use of ILEs for creating experiences that excite, inspire, and engage learners in STEM disciplines. Chapters include research studies and practical applications addressing the challenges and opportunities associated with adopting technologies. This book covers the entire spectrum of immersive platform types and ILEs such as desktop, mobile, wearable, and room-based. It helps advance research and practice in the novel adoption of ILE technologies into STEM education from technical, theoretical/conceptual, empirical, and/or methodological perspectives. Cross Reality (XR) and Immersive Learning Environments (ILE) in Education will be a key resource for academics, researchers, and advanced students of education, STEM education, instructional design and technology, educational research, educational technology, research methods, information and communications technology, and curriculum and instruction. This book was originally published as a special issue of Interactive Learning Environments.

This book constitutes extended papers from the 5th International Conference on Technology in Education, ICTE 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 30 papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections on instructional technology; learning analysis and assessment; learning environment; open and collaborative learning; technology and education.

This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!

This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.

Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.

Research suggests two important roles of emotion related to learning and technology. First, emotion can be the key factor that is being learned or taught through technological means. Second, emotional responses with and through technology can alter what is being learned or how the content is learned. The goal of this volume is to compile and synthesize research that addresses these two perspectives by focusing on the relationship between emotion and learning as facilitated by technology. The book is divided into four sections to represent the specific interest related to emotion and learning: Theory and Overview of Emotions and Learning; Emotions and Learning Online; Technology for Emotional Pedagogy with Students; and Technology of Emotional Pedagogy with Teachers. - Provides a deeper theoretical and empirical perspective of emotion and learning - Discusses how blended and online learning impact our ability to share emotion or learn emotion - Explores how students learn emotion, share emotion, and how it impacts their ability to learn - Examines how teachers learn emotion, share, emotion, and how it impacts their ability to teach through technology - Addresses student diversity

Learning analytics is one of the most important research issues in the field of educational technology. By analyzing logs and records in educational databases and systems, it can provide useful information to teachers, learners, and decision makers – information which they can use to improve teaching strategies, learning performances, and educational policies. However, it is a great challenge for most researchers to efficiently analyze educational data in a meaningful way. This book presents various learning analytics approaches and applications, including the process of determining the coding scheme, analyzing the collected data, and interpreting the findings. This book was originally published as a special issue of Interactive Learning Environments.

In the rapidly evolving landscape of Education 5.0, educators and institutions grapple with unprecedented challenges in leveraging digital technologies to enhance teaching, learning, and assessment. The profound shift towards a more humanized educational experience, focusing on social and emotional growth alongside skill development, demands a paradigmatic transformation. However, a palpable gap exists in understanding and navigating the complexities of this digital transition. Educators, students, and administrators are left facing dilemmas related to pedagogical innovation, technology integration, and effective learning assessment in the digital age. Enter Teaching and Assessment in the Era of Education 5.0, a definitive guide poised to bridge the gap between the challenges posed by Education 5.0 and actionable solutions. The current educational milieu faces a conundrum as it attempts to adapt to the tenets of Education 5.0. The digital transition poses challenges, from incorporating immersive technologies to understanding the attitudes of educators and students towards digitization. Furthermore, the design and implementation of training and distance learning systems require a nuanced approach, calling for engineering expertise in training, pedagogy, and tutoring. The assessment landscape, crucial for gauging the effectiveness of learning in the digital era, grapples with contemporary trends, ethical considerations, and the ever-present specter of plagiarism. This multifaceted challenge necessitates a comprehensive resource that not only delineates the issues but offers actionable solutions to navigate this transformative journey.

In today’s society, educational opportunities have evolved beyond the traditional classroom setting. Most universities have implemented virtual learning environments in an effort to provide more opportunities for potential or current students seeking alternative and more affordable learning solutions. User-Centered Design Strategies for Massive Open Online Courses (MOOCs) focuses on the best practices and effective design of student interaction within virtual learning environments. Highlighting strategies from human-computer interaction experiences and user-centered models, as well as emergent approaches and implementation techniques, this reference publication is designed for computer science students, academics, researchers, instructional designers, IT professionals, software developers, and educators interested in mobile technologies, social learning, and educational inclusion.