This special 1997 edition of the AFT’s American Educator magazine attempts to capture some of Al’s most important ideas—the ones that inspired his public life, the ones he lived by, the ones that left the most enduring mark.
The Power of Ideas: Al in His Own Words
Recent Blog Posts
September 13, 2017
Panelists: Martin Carnoy, Vida Jacks Professor of Education, Stanford Graduate School of Education; Deirdre Cobb-Roberts, Associate Professor and Program Coordinator Social Foundations, Department of Educational and Psychological Studies College of Education, University of South Florida; John Jackson, President and CEO, Schott Foundation for Public Education; and Ning Rui, Senior Study Director, Westat. Noon to 2:00 pm, lunch will be served. 555 New Jersey Ave, NW, Washington. More information and registration.
October 5, 2017
We are experiencing an organic crisis of democracy, international in scope. This conference will draw together intellectuals and activists from across the globe to examine and explore different dimensions of that crisis. The speakers will venture into a deeper analysis of the political forces and dynamics at work, with an eye to identifying opportunities in the resistance as well as dangers. October 5-6, 2017, Washington Court Hotel, 525 New Jersey Ave, NW, Washington, D.C. More information and Registration.
November 8, 2017
Co-Sponsored by the Albert Shanker Institute and the American Federation of Teachers.
Teaching in Context (Harvard Education Press, 2017) provides new evidence from a range of leading scholars showing that teachers become more effective when they work in organizations that support them in comprehensive and coordinated ways. The volume is edited by ASI senior fellow Esther Quintero and has a foreword by Andy Hargreaves.
Bruce Baker and Mark Weber (Rutgers University) use existing research and original analysis to dismantle the common myth that U.S. public schools spend more money and get worse results than do other developed nations, and provide discussion and analysis of what can and cannot be learned from existing data.