Emerging Self Directed Learning Strategies In The Digital Age

Currently, society is becoming increasingly involved in self-directed learning for both intellectual and professional development. As such, it is imperative that both researchers and educational professionals update themselves on the current research on self-directed learning and how it has created a new culture of independence. Emerging Self-Directed Learning Strategies in the Digital Age is a key resource for the latest research on the role of self-directed learning and how it is impacting society, educational professionals, and researchers in their day-to-day work. Featuring broad coverage among a variety of relevant views and themes, such as project based learning (PBL), student goal setting, and self-efficacy theory, this book is ideally designed for educational professionals working in the fields of teacher pedagogy, theory, instructional technology, and adult education, as well as academics and upper-level students looking for innovative research on one-to-one programs and learning analytics.

Under the Fourth Industrial Revolution, it is important that organizations recruit and retain managers with skills that allow them to focus on meeting strategic objectives. To achieve this, companies must focus on implementing strategic management that allows managers to manage and lead continuous change, creativity, innovation, learning, productivity, speed, and effectiveness of their activities that turn them into constant value generators. Managers must also possess personal competences such as initiative, resilience, assumption of risk, creativity, networking, empathy, negotiation, self-control, self-knowledge, and the ability to turn difficulties into opportunities. These capabilities are important in the context of the Fourth Industrial Revolution because they will allow organizations to cope with the highly changing environment that will enable them to consolidate their growth and profitability. Management Training Programs in Higher Education for the Fourth Industrial Revolution: Emerging Research and Opportunities delivers emerging research investigating empirical studies on the formation of management competences in higher education in the context of the Fourth Industrial Revolution in regards to its development and linkage with the business sector in order to offer educational strategies at the national and international level. Featuring coverage on a broad range of topics such as sustainable development, circular economics, and big data analysis, this book is ideally designed for academicians, educators, executives, managers, entrepreneurs, organizational development specialists, consultants, policymakers, researchers, administration professionals, and high-level students.

Today’s global educational environment includes the emergence of adult learners participating in formal and informal educational encounters for the purposes of professional development or personal enrichment. These learners must possess the conceptual and attitudinal idea of self-directed learning in order to be skilled workers and fulfilled human beings. Self-Directed Learning Strategies in Adult Educational Contexts is a critical scholarly publication that examines the impacts of self-directed learning methods and strategies on adult learning in various formal and informal learning situations and educational encounters. Featuring topics such as andragogy, learning analytics, and educational technologies, this book is geared toward adult educators, administrators, principals, professors, human resource managers, educational professionals, and researchers working in the fields of andragogy, adult learning theory, professional development, instructional technology, and curriculum development.

Post-traditional students are rapidly becoming the majority of the higher education student population. This changing demographic within the higher education landscape increases the demand for flexible learning options accessible to non-traditional learners. Redefining Post-Traditional Learning: Emerging Research and Opportunities is a comprehensive research publication that explores shifting demographics within higher education and offers recommendations to current teaching methodologies. Highlighting a range of topics such as adult learners, pedagogy, and international students, this book provides a theoretical foundation, followed by an intentional dissection of current and best research practices through the lenses of andragogy, student demographics, and technology. It is ideal for teachers, instructional designers, curriculum developers, educational professionals, school administrators, policymakers, academicians, teaching professionals, researchers, and graduate students.

Doctoral programs are an important feature of academia. They foster professional development among future researchers and academicians. Ensuring the quality of these programs and providing quality mentorship encourages success among program participants and provides a high quality of preparedness for the professional world. Teaching and Learning Perspectives on Doctoral Programs in Education: Emerging Research and Opportunities is a critical scholarly publication that examines the effectiveness of doctoral programs and strategies for successful academic advisement. The book explores doctoral programs from three perspectives: designing a doctoral program, teaching/mentoring within a doctoral program, and being a student in a doctoral program. Featuring a wide range of topics such as higher education, professional development, and program design, this book is ideal for instructional designers, academicians, academic advisers, administrators, researchers, education professionals, and doctoral students attempting to successfully navigate a doctoral program.

"This book fills the gap between theory-laden academic books designed to help academic faculty incorporate self-directed learning activities into their courses and the self-help books designed to help motivate individuals to learn new skills"--

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.

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.