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Manage your own learning analyticsimplement a Rasch modelling approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Manage your own learning analyticsedited by Elspeth McKay.
Reminder of title:	implement a Rasch modelling approach /
other author:	McKay, Elspeth.
Published:	Cham :Springer International Publishing :2022.
Description:	xx, 217 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	LearningMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-86316-6
ISBN:	9783030863166$q(electronic bk.)

Manage your own learning analyticsimplement a Rasch modelling approach /
Manage your own learning analyticsimplement a Rasch modelling approach /[electronic resource] :edited by Elspeth McKay. - Cham :Springer International Publishing :2022. - xx, 217 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v. 2612190-3026 ;. - Smart innovation, systems and technologies ;v.12..

Privacy-Driven Learning Analytics -- Introductory Analysis of the Rasch Model -- Social Media Analytics, Learning Analytics and Healthcare Industry: Risky Drinking.

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.

ISBN: 9783030863166$q(electronic bk.)

Standard No.: 10.1007/978-3-030-86316-6doiSubjects--Topical Terms:

240373
Learning
--Mathematical models.

LC Class. No.: LB1060 / .M35 2022

Dewey Class. No.: 370.1523

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