Advancing The Power Of Learning Analytics And Big Data In Education
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Advancing the Power of Learning Analytics and Big Data in Education
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.
Big Data in Education
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
Future-oriented Learning and Skills Development for Employability
This book examines evolving trends in pre-employment and continuing education, focusing on how formal learning affects learners’ skills, career motivation, and work readiness. It also addresses adult workers’ skills development, continuous training and workplace learning, highlighting key enablers, barriers and factors influencing their motivation and employability. Drawing on insights from experienced scholars and practitioners from Singapore and some Asia-Pacific contexts, including Australia, Bangladesh, and China, the book uniquely integrates the synergy between pre-employment and continuing education, offering a deeper understanding of their interconnectedness in fostering a sustainable workforce. As a comprehensive resource, it provides valuable insights for advancing higher education, vocational training, continuing education, workplace learning, and workforce development.