Title Statements
- Full title :LEARNING ANALYTICS : using talent data to improve business outcomes.
Summary
Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.
Read More ↓Edition Statements
- Publication Date:2020.
Publication Statements
- Publisher(s):Kogan Page
- Place of Publication:Place of publication not identified
- Language:eng
- Publication Date:2020.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9781789663013, 1789663016
- oclc:on1147893821
- LC Classification:HF5549.5.T7
- Dewey Decimal:658.4/72
Table of Contents
Cover -- Contents -- List of figures and tables -- About the authors -- Foreword -- How to read this book -- Acknowledgements -- PART ONE The L & D value gap and how to close it -- 01 The rise of learning analytics -- Why is all of this important? -- Standards are coming -- Data availability -- Changing the way talent analytics work gets done -- Providing unique insight into employee behaviour -- Learning analytics rises -- Notes -- 02 What is learning analytics? -- Introduction -- Learning analytics today: measure for measure, what should be measured? -- Why measure learning?
Most organizations start with the simple: measure training activity and satisfaction -- Efficiency, effectiveness and business outcomes: closing the learning measurement gap -- The journey to learning analytics -- The Four Levels of Evaluation -- The Return on Investment Methodology -- Impact Measurement Framework -- Success Case Method -- Performance-Based Evaluation -- Conclusion -- Notes -- 03 The value-centred learning organization: A new evaluation paradigm -- Volume is not value -- We're already delivering value, though ... right?
Delivering and demonstrating value: the Talent Development Value Frame…
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