Manage Your Own Learning Analytics: Implement a Rasch Modelling Approach

This book provides an overview of the practice of learning analytics, with a prescriptive planning model and chapters on cognitive performance measurement practices, case studies, and more. It is a valuable resource for the educational research community, instructional systems designers, corporate training developers, postgraduate course developers, and doctoral students.

Format: Paperback / softback
Length: 217 pages
Publication date: 06 December 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of learning analytics, providing valuable insights into the diverse approaches employed by individuals in data analysis. At the outset, the book offers a 'prescriptive learning analytics planning model, offering clear and concise guidelines for those seeking to embark on their data analysis journey. Structured into ten chapters, the book is organized into four topical sections:

Managing Learning Analytics: This section provides an overview of learning analytics, instructional systems design (ISD), instructional design, and planning data analysis. It serves as a foundational framework for understanding the broader landscape of learning analytics.

Cognitive Performance Measurement Practices: This section explores various measurement theories and tools, including classical test theory (CTT), Rasch measurement theory (RMT), Item response theory (IRT), and Rasch Modeling Tools. It provides a comprehensive understanding of the methods and techniques used to assess and evaluate cognitive performance.

Case Studies: This section showcases real-world applications of learning analytics in corporate training settings, the healthcare industry, and educational courseware design. It offers practical examples and case studies to illustrate the practical implications and benefits of data-driven decision-making in these domains.

This book is a valuable resource for a wide range of stakeholders, including educational research communities, instructional systems designers, corporate training developers, postgraduate course developers, and doctoral students. It offers a comprehensive and up-to-date exploration of learning analytics, equipping readers with the knowledge and tools necessary to leverage data for effective learning and development.

By delving into the practices, theories, and applications of learning analytics, this book provides a comprehensive guide for anyone interested in advancing their understanding and expertise in this field. Whether you are a researcher, educator, or practitioner, this book offers valuable insights and practical strategies to enhance the effectiveness of learning and development initiatives.

Weight: 373g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030863180
Edition number: 1st ed. 2022