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Manage your own learning analytics : implement a Rasch modelling approach / Elspeth McKay, editor.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online

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Format:
Book
Contributor:
McKay, Elspeth (Associate professor), editor.
Series:
Smart innovation, systems, and technologies ; 261.
Smart innovation, systems, and technologies ; 261
Language:
English
Subjects (All):
Learning--Mathematical models.
Learning.
Physical Description:
1 online resource (237 pages)
Place of Publication:
Cham, Switzerland : Springer, [2022]
Summary:
This book sheds light on the practice of learning analytics, illuminating how others approach their data analysis. At the beginning of the book, a 'prescriptive learning analytics planning model' gives straightforward instructions for people to follow. This book is organized into ten chapters, falling into four topical sections: Managing Learning Analytics (overview, instructional systems design (ISD), instructional design, and planning data analysis); Cognitive Performance Measurement Practices (classical test theory (CTT), Rasch measurement theory (RMT), Item response theory(IRT), Rasch Modeling Tools (research design, setting methodology); and Case Studies (corporate training settings, healthcare industry, and educational courseware design). This book is an important reference for: educational research community and instructional systems designers; corporate training developers; postgraduate course developers; and doctoral students.
Notes:
Includes bibliographical references.
Description based on print version record.
ISBN:
3-030-86316-6

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