Ulteriori informazioni
Scale-Up in Education, Volume 1: Ideas in Principle examines the challenges of "scaling up" from a multidisciplinary perspective. It brings together contributions from disciplines that routinely take promising innovations to scale, including medicine, business, engineering, computing, and education. Together the contributors explore appropriate methods for estimating the effects of innovations in larger, more diverse settings and provide theories and models to guide the design of innovations most likely to remain viable at large scales.
Sommario
Part 1 Part I - Conceptualizing Scale-Up: An Educational Perspective
Chapter 2 Chapter 1 - Educational Innovation and the Problem of Scale
Chapter 3 Chapter 2 - Principles for Scaling Up: Choosing, Measuring Effects, and Promoting Widespread Use of Educational Innovation
Chapter 4 Chapter 3 - Generalizability of Treatment Effects: Psychometrics and Education
Chapter 5 Chapter 4 - Estimating the Effects of Educational Interventions
Part 6 Part II - Modeling Scale-Up: Lessons from Other Fields
Chapter 7 Chapter 5 - Scaling from Prototype to Production: A Managed Process Perspective from Industrial Engineering and Management
Chapter 8 Chapter 6 - From Efficacy to Effectiveness: Translating Randomized Controlled Trial Findings into Treatment Standards in the Health Professions
Chapter 9 Chapter 7 - Linking Program Implementation and Effectiveness: Lessons from a Pooled Sample of Welfare to Work Experiments
Chapter 10 Chapter 8 - Forecasting the Effects of Scaling Up Social Programs: An Economics Perspective
Part 11 Part III - Breaking Boundaries: Successful Scale-Up in Transforming Organizations
Chapter 12 Chapter 9 - Breaking Boundaries: Scaling Collaboration in Time and Space
Chapter 13 Chapter 10 - Socio-Digital Formations: Constructing an Object of Study
Chapter 14 Chapter 11 - Measuring and Managing Successful Organizational Scale-Up
Part 15 Part IV - Synthesizing Concepts of Scale-Up for Education
Chapter 16 Chapter 12 - Toward a Program of Research on Scale-Up: Analytical Requirements and Theoretical Possibilities
Chapter 17 Chapter 13 - Successful Scale-Up in Three Stages: Insights and Challenges for Educational Research and Practice
Chapter 18 Chapter 14 - Technology and Scale-Up: Implications for Research and Practice
Info autore
Barbara Schneider, Ph.D. is a John A. Hannah Distinguished University Professor at Michigan State University and principal investigator of the Data Research and Development Center at the National Opinion Research Center at the University of Chicago.
Sarah-Kathryn McDonald is executive director of the Data Research and Development Center and a research scientist at the National Opinion Research Center at the University of Chicago.
Riassunto
Examines the challenges of scaling up from a multidisciplinary perspective. This work explores the methods for estimating the effects of innovations in larger, more diverse settings and provides theories and models to guide the design of innovations most likely to remain viable at large scales.
