McGraw-Hill Education, a learning science company, has announced the appointment of Nancy Lublin, the CEO of Crisis Text Line, to its board of directors.
On Nov. 1, 2015, Lublin stepped down from her role as CEO of DoSomething.org, the largest organisation for teenagers and social change in the world with more than 2.5 million active users, to become chief executive officer of Crisis Text Line, an organisation that she established in 2013. Crisis Text Line is the first 24/7, free, nationwide text line for teenagers in crisis. Before her work with DoSomething.org and Crisis Text Line, Lublin founded Dress for Success, a global organisation that promotes the economic independence of disadvantaged women by providing professional attire and career development tools to help women thrive in work and in life.
Lublin is also an author of the best-selling business book, Zilch: The Power of Zero in Business, and has been selected as a Young Global Leader of the World Economic Forum. Lublin is a member of the Board of Trustees of the New School, a leading urban university offering some of the nation's most well respected degree, certificate, and continuing education programs in art and design, social sciences, liberal arts, management and public policy, and performing arts.
The latest board appointment comes as McGraw-Hill Education continues its transformation as a leader in applying the science of learning to help improve outcomes for students, educators and professionals. In the last few years, McGraw-Hill Education has invested significantly in digital learning solutions to strengthen its offerings and improve teaching and learning. The company has opened R&D centers in Seattle and in Boston's innovation district and has complemented its internal development with select acquisitions, including ALEKS, LearnSmart and Engrade, all of which reflect the continued building of its capabilities in adaptive and personalized learning.
Brought to you by Scope e-Knowledge Center, a world-leading provider of abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).
