Handbook Of Research On Writing And Composing In The Age Of Moocs
Download Handbook Of Research On Writing And Composing In The Age Of Moocs PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Handbook Of Research On Writing And Composing In The Age Of Moocs book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Handbook of Research on Writing and Composing in the Age of MOOCs
The development of online learning environments has enhanced the availability of educational opportunities for students. By implementing effective curriculum strategies, this ensures proper quality and instruction in online settings. The Handbook of Research on Writing and Composing in the Age of MOOCs is a critical reference source that overviews the current state of larger scale online courses and the latest competencies for teaching writing online. Featuring comprehensive coverage across a range of perspectives on teaching in virtual classrooms, such as MOOC delivery models, digital participation, and user-centered instructional design, this book is ideal for educators, professionals, practitioners, academics, and researchers interested in the latest material on writing and composition strategies for online classrooms.
A Conceptual Framework for SMART Applications in Higher Education: Emerging Research and Opportunities
With the rapid availability of information, it becomes essential to keep pace with this availability as well as process the information into knowledge that has real-world applications. Neuroscientific methods allow an approach to this problem based on the way that the human brain already operates. Over the centuries and through observation and trial and error, we already know a great deal about how we can teach and learn, but now we can verify this with scientific fact and discover previously unknown aspects of brain physiology. These observations of brain functioning have produced many learning theories, all of which have varying degrees of validity. These theories, in turn, give birth to theories and models of instructional design, which also have varying degrees of validity. A Conceptual Framework for SMART Applications in Higher Education: Emerging Research and Opportunities is a critical scholarly publication that explores how the brain acquires and processes information to turn information into knowledge and the role of SMART technology and how it combines and integrates visual and aural data to facilitate learning. The book also discusses ways to apply what is known about teaching to how the brain operates and how to incorporate instructional design models into the teaching and learning process. Highlighting various topics such as neurogenesis, smart technologies, and behaviorism, this book is essential for instructional designers, online instruction managers, teachers, academicians, administrators, researchers, knowledge managers, and students.
Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities
Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.