Download Free Advances In Social Networking Based Learning Book in PDF and EPUB Free Download. You can read online Advances In Social Networking Based Learning and write the review.

This book discusses three important, hot research issues: social networking-based learning, machine learning-based user modeling and sentiment analysis. Although these three technologies have been widely used by researchers around the globe by academic disciplines and by R&D departments in the IT industry, they have not yet been used extensively for the purposes of education. The authors present a novel approach that uses adaptive hypermedia in e-learning models to personalize educational content and learning resources based on the needs and preferences of individual learners. According to reports, in 2018 the vast majority of internet users worldwide are active on social networks, and the global average social network penetration rate as of 2018 is close to half the population. Employing social networking technologies in the field of education allows the latest technological advances to be used to create interactive educational environments where students can learn, collaborate with peers and communicate with tutors while benefiting from a social and pedagogical structure similar to a real class. The book first discusses in detail the current trend of social networking-based learning. It then provides a novel framework that moves further away from digital learning technologies while incorporating a wide range of recent advances to provide solutions to future challenges. This approach incorporates machine learning to the student-modeling component, which also uses conceptual frameworks and pedagogical theories in order to further promote individualization and adaptivity in e-learning environments. Moreover, it examines error diagnosis, misconceptions, tailored testing and collaboration between students are examined and proposes new approaches for these modules. Sentiment analysis is also incorporated into the general framework, supporting personalized learning by considering the user’s emotional state, and creating a user-friendly learning environment tailored to students’ needs. Support for students, in the form of motivation, completes the framework. This book helps researchers in the field of knowledge-based software engineering to build more sophisticated personalized educational software, while retaining a high level of adaptivity and user-friendliness within human–computer interactions. Furthermore, it is a valuable resource for educators and software developers designing and implementing intelligent tutoring systems and adaptive educational hypermedia systems.
This book constitutes the refereed proceedings of the 12th International Conference on Web-Based Learning, ICWL 2013, held in Kenting, Taiwan, in October 2013. The 34 revised full papers presented were carefully reviewed and selected from about 117 submissions. The papers are organized in topical sections on interactive learning environments, design, model and framework of e-learning systems, personalized and adaptive learning, Web 2.0 and social learning environments, intelligent tools for visual learning, semantic Web and ontologies for e-learning, and Web-based learning for languages learning.
This is an open access book. The COVID-19 pandemic in the last two years has influenced how educational system works. Online learning became the primal policy taken by all institutions in the world to lower the risk of the virus spread. Despite the drawbacks of the online learning, teachers and students were accustomed with the distant learning through web meetings, Learning Management Systems (LMS) and other online learning platforms. In that time, topics under digital learning and education 5.0 were the main stakes in academic disseminations. This year some institutions start to conduct their teaching and learning process classically as before the pandemic, others are still continuing online and not few are in hybrid. This leaves a question: what learning reform should be made in post-pandemic era? This conference invites researchers, experts, teachers and students to discuss the coping solutions of the question. It is important for them to contribute to the understanding of re-imaging online education for better futures, innovative learning design, new skills for living and working in new times, global challenge of education, learning and teaching with blended learning, flipped learning, integrating life skills for students in the curriculum, developing educators for the future distance learning, humanities learning in the digital era, assessment and measurement in education, challenges and transformations in education, technology in teaching and learning, new learning and teaching models. Not limited to these, scholars may add another interesting topic related to learning reform in post-pandemic era to present.
This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022. The 109 full papers presented were selected from 276 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.
Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.
This book constitutes the refereed proceedings of the Workshops held at the ICWL 2013 International Conference on Web Based Learning in Kenting, Taiwan, in October 2013. The 29 papers presented were carefully reviewed and selected for inclusion in this volume. They were held at the following workshops: First International Workshop on Ubiquitous Social Learning, USL 2013; 2013 International Workshop on Smart Living and Learning, IWSLL 2013; Third International Symposium on Knowledge Management and e-Learning, KMEL 2013; 2013 International Workshop on Cloud Computing for Web-Based Learning, IWCL 2013; 2013 International Workshop on Web Intelligence and Learning; WIL 2013; and the 2013 International Workshop on e-book and Education Cloud, IWEEC 2013.
This book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts. It also provides insights into the theoretical and practical aspects of different technological innovations that assist decision-makers in formulating the required policies and procedures for adopting a specific technology.
In the digital age, numerous technological tools are available to enhance educational practices. When used effectively, student engagement and mobile learning are significantly increased. Social Media in Education: Breakthroughs in Research and Practice contains a compendium of the latest academic material on the usage, strategies, and applications of social media in education today. Including innovative studies on online networks, social constructivism, and collaborative learning, this publication is an ideal source for educators, professionals, school administrators, researchers, and practitioners in the field of education.
This book constitutes the refereed proceedings of the 11th International Conference on Web-Based Learning, ICWL 2012, held in Sinaia, Romania, in September, 2012. The 28 revised full papers presented together with 10 short papers were carefully reviewed and selected from about 105 submissions. The papers are organized in topical sections on Computer Supported Collaborative Learning, Web 2.0 and Social Learning Environments; Personal Learning Environments; Learning Objects’ Management and Ontologies; Game-Based Learning; Personalized and Adaptive Learning; Feedback, Assessment and Learning Analytics; Design, Model and Implementation of E-Learning Platforms and Tools; Pedagogical Issues, Practice and Experience Sharing.
This volume constitutes the refereed proceedings of the 3rd International Conference on Advanced Communication and Networking, ACN 2011, held in Brno, Czech Republik, in June 2011. The 57 revised full papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers focus on the various aspects of progress in Advanced Communication and Networking with computational sciences, mathematics and information technology and address all current issues of communication basic and infrastructure, networks basic and management, multimedia application, image, video, signal and information processing.