The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education provides insights concerning the use of learning analytics, the role and impact of analytics on education, and how learning analytics are designed, employed, and assessed. The chapters will discuss factors affecting learning analytics such as human factors, geographical factors, technological factors, and ethical and legal factors. This book is ideal for teachers, administrators, teacher educators, practitioners, stakeholders, researchers, academicians, and students interested in the use of big data and learning analytics for improved student success and educational environments.

In the rapidly evolving landscape of higher education, where the acquisition of knowledge is a lifelong pursuit, educators and institutions are redefining the paradigms of learning through innovative approaches. Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education delves into the intricate tapestry of contemporary education, where the convergence of advanced pedagogies and cutting-edge technologies is reshaping traditional boundaries. As the realms of chatbots, gamification, and hybrid learning intersect, a new era of holistic education emerges, seamlessly blending theoretical prowess with experiential wisdom. The book unfurls with meticulous exploration of pivotal themes, embracing the nuanced realms of instructional design, learning analytics, and library services tailored for the modern educational era. From the granular landscapes of microlearning to the macroscopic view of global teacher retention strategies, the book leaves no stone unturned. This book is a symphony of intellectual rigor, orchestrated to resonate with educators, administrators, researchers, and all stakeholders vested in the future of learning.

This book constitutes the refereed proceedings of the 14th International Conference on Web-Based Learning, ICWL 2015, held in Guangzhou, China, in Noavember 2015. The 18 revised full papers presented together with 2 invited papers and 7 short papers were carefully reviewed and selected from about 79 submissions. The papers are organized in topical sections on collaborative and peer learning; e-lerning platform and tolls; design, model, and framework of e-learning systems; intelligent tutoring and tools; pedagogical issues; personalized and adaptive learning; and Web 2.0 and social learning environments.

This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames.Firstly, the current status of mobile-learning, micro-learning, and OERs are described. Then, the significances and challenges of Micro Learning as a Service (MLaaS) are discussed. A framework of a service-oriented system is provided, which adopts both online and offline computation domain to work in conjunction to improve the performance of learning resource adaptation.In addition, a comprehensive learner model and a knowledge base is prepared to semantically profile the learners and learning resource. The novel delivery and access mode of OERs suffers from the cold start problem because of the shortage of already-known learner information versus the continuously released new micro OERs. This unique volume provides an excellent feasible algorithmic solution to overcome the cold start problem.

This book constitutes the proceedings of the 16th International Conference on Web-Based Learning, ICWL 2017, held in Cape Town, South Africa, in September 2017. The 13 revised full papers presented together with 9 short papers and 3 poster papers were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections on Inquiry-Based Learning and Gamification; Learning Analytics; Social Media and Web 2.0-based Learning Environments; Assessment and Accessibility in Higher Education; Open Educational Resources and Recommender Systems; and Practice and Experience Sharing.