Learning analytics : using talent data to improve business outcomes / John R. Mattox II, Peggy Parskey, Cristina Hall.

By:

Mattox, John R., II, 1971- [author.]

Contributor(s):

Material type: Text

TextLanguage: English Publisher: New York, NY : Kogan Page, 2020Edition: Second editionDescription: xxiv, 367 pages : illustrations ; 24 cmISBN:

1789662982
9781789662986
9781789663006

Subject(s):

DDC classification:

658.47 23

LOC classification:

HF5549.5.T7 M368 2020

Contents:

What is learning analytics? — Technology’s role in learning measurement — Linking learning to business impact — Scrap learning: the new leading indicator of success — Aligning L&D to business goals through needs assessment; — Benchmarks — Optimizing investments in learning — Beyond learning analytics to talent management analytics.

Summary: 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.

Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	TBS Barcelona	HF5549.5.T7 MAT (Browse shelf(Opens below))	Available		B04376

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Includes bibliographical references and index.

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.