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Learning Analytics Cristina Hall

Learning Analytics By Cristina Hall

Learning Analytics by Cristina Hall


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Summary

Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.

Learning Analytics Summary

Learning Analytics: Using Talent Data to Improve Business Outcomes by Cristina Hall

Effective evaluation and measurement of learning and development initiatives is critical to maximise the impact of training, identify gaps for improvement and ensure that efforts are aligned to the business' needs. Learning Analytics outlines how analytical approaches can respond to these challenges, the types and benefits of technological solutions and how to ask the right questions of organizational data in order to build a learning organization that boosts performance and competitive advantage. Drawing upon case studies from organizations who have applied such approaches such as The Gap, Hilton Worldwide University and Seagate Technology, Learning Analytics will enable those involved in learning and development to make the business case for their activities and deliver an evidence-based service to their organizations. Alongside updated chapters on learning technology tools and moving beyond learning analytics to talent management analytics, this second edition also features new content on measuring informal learning, increasing data literacy, and framing L&D's contributions through a portfolio evaluation approach.

Learning Analytics Reviews

"Learning Analytics reaffirms that evaluation principles when standardized and enabled by technology can provide insights about which programs are helping achieve business goals and which need improvement. This edition also brings a new methodology to the table that helps L&D organizations align and deeply connect with the business strategy." -- Kimo Kippen * Founder Aloha Learning Advisors and former Chief Learning Officer at Hilton Worldwide *
"This book is a fantastic roadmap, guidebook and treasure trove of research, enabling L&D leaders and practitioners alike to solve that most obvious yet difficult of challenges, clearly linking L&D programs to all areas of talent management in a cohesive, strategic way to positively impact performance and productivity." -- Jeff Higgins * Founder and CEO, HCMI *
"If you need to evaluate your investments in talent, or use HR analytics to inform your business decisions, then this book is a godsend." -- Doug Gray, Ph.D. * CEO and Founder of Action Learning Associates and former President of ATD Nashville *

About Cristina Hall

John R. Mattox II is the Head of Talent Research at Explorance. He helps clients develop measurement strategies to improve business performance by measuring the impact of training. Prior to this, Mattox was a Principal Consultant with Gartner and led training evaluation teams at KPMG, PwC and Arthur Andersen. Peggy Parskey is a part-time managing consultant at Explorance. Based in Connecticut, she also runs her own consulting firm, Parskey Consulting, which provides organizational improvement initiatives to Fortune 500 firms. Cristina Hall is Vice President of Strategy at Explorance and is based in Chicago, Illinois. Before this, she worked at Gartner for over 10 years, where she was most recently director of product strategy.

Table of Contents

    • Chapter - 01: What is learning analytics?;
    • Chapter - 02: Technologys role in learning measurement;
    • Chapter - 03: Linking learning to business impact;
    • Chapter - 04: Scrap learning: the new leading indicator of success;
    • Chapter - 05: Aligning L&D to business goals through needs assessment;
    • Chapter - 06: Benchmarks;
    • Chapter - 07: Optimizing investments in learning;
    • Chapter - 08: Beyond learning analytics to talent management analytics

Additional information

GOR013786707
9781789663006
1789663008
Learning Analytics: Using Talent Data to Improve Business Outcomes by Cristina Hall
Used - Like New
Paperback
Kogan Page Ltd
2020-04-03
400
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
The book has been read, but looks new. The book cover has no visible wear, and the dust jacket is included if applicable. No missing or damaged pages, no tears, possible very minimal creasing, no underlining or highlighting of text, and no writing in the margins

Customer Reviews - Learning Analytics