Modeling and Prototyping New Smart Learning Management Systems (Hardcover) (ISBN-13: 9781799840213)

We are currently witnessing the launch and development of many new learning management system (LMS) innovations whose main objective is to meet society's requirements and the knowledge economy, which is fully emerging. Understanding new LMS innovations is essential for the improvement of the training and learning processes. To effectively implement these new LMSs in the classroom, teachers and trainers need access to real-life cases in which these methods were successfully used. New smart LMSs should be easy to use and to administer online educational content to ensure better adaptation to course teaching and learning styles. Therefore, it is necessary to find a method of modeling for all types of LMS. By combining learning theories that have long inspired the design of computer applications and putting them into perspective with emerging education features, a new smart LMS can be developed and studied. Modeling and Prototyping New Smart Learning Management Systems is a critical scholarly resource that examines current advances in educational innovation and presents cases that allow for the improvement of personalized and active learning. It examines diverse issues of social, organizational, economic, cultural, and technological context related to internal and external management of learning and teaching and their technological improvements. The chapters cover issues, methods, models, constructs, solution applications, or specific architectures and theories in LMS and feature a wide range of topics such as higher education, teacher education, and learning strategies. This book is ideal for graduate-level students, researchers and industry practitioners, engineers, research scientists/academicians, educational administrators, educational professionals, teachers and professors, and researchers involved in practical applications of engineering-pedagogical and didactic aspects in learning management systems.

Author: Mohammed Ouadoud, Mohamed Yassin Chkouri
ISBN-10: 1799840212
ISBN-13: 9781799840213
Publisher: Information Science Reference
Language: English
Published: 05/21/2021
Pages: 260
Format: Hardcover
Weight: 1.58lbs
Size: 10.00h x 7.00w x 0.69d