Optimizing Education Through Micro-lessons: Engaging and Adaptive Learning Strategies - Softcover

Softcover

ISBN 13: 9798369301999

Publisher: Information Science Reference, 2024

Synopsis

Traditional teaching methods often struggle to meet the diverse and dynamic needs of both educators and students. The persistent challenge of retaining knowledge, exacerbated by the notorious Ebbinghaus forgetting curve, continues to hinder effective teaching. Moreover, the burden of mental fatigue resulting from long, uninspiring lectures and information overload plagues the learning experience. As educators grapple with these issues, the need for a more efficient and engaging pedagogical approach becomes increasingly urgent. Optimizing Education Through Micro-Lessons: Engaging and Adaptive Learning Strategies is a groundbreaking compendium of insights from eighteen distinguished authors. This meticulously curated volume provides a transformative solution to the problems plaguing contemporary education. Micro-lessons, concise learning units spanning just 1 to 10 minutes, and accessible across multiple devices, hold the key to unlocking superior learning outcomes and bolstering retention rates. In this book, academic scholars, educators, and policymakers will find a comprehensive guide that not only explores the theory behind micro-lessons but also offers practical strategies for their effective implementation. For academic scholars seeking to revolutionize education, Optimizing Education Through Micro-Lessons: Engaging and Adaptive Learning Strategies serves as an indispensable resource. It delves deep into the historical roots of micro-teaching and micro-learning, elucidating their evolution and profound influence on modern pedagogy. Furthermore, it sheds light on the myriad benefits of micro-lessons, from enhanced retention and engagement to motivation and collaborative learning. It also candidly addresses the challenges of adopting this innovative approach, offering valuable insights into overcoming them.

Edition details

• Publisher: Information Science Reference
• Publication date: 2024
• Language: English
• ISBN 13: 9798369301999
• Binding: Paperback
• Number of pages: 398
• Editor: Ilic Peter