a model of school learnin
TRANSCRIPT
A Model of School Learning:
A Presentation on School SystemMonitoring and Evaluation
Richard Noonan, August 30, 2013
Introduction 1/4
• This model has evolved over many years (beginning in the late 1960s) in response to research needs.
• As an education and training economist, my focus on the input side is primarily on resources, rather than processes.
• My focus on the output side is on both learning outcomes and labor market outcomes.
• The context in which this model has evolved is applied research, i.e., research intended for planning, management, and development of education systems.
• Feedback loops linking inputs and processes to outcomes enable assessment of the internal and external efficiency of the system.
Introduction 2/4
• This is a model for planning, management, and development of an existing education system.
• Thus it is based on the assumption that the aims and objectives of the system are known.
• What is not known are the specific quantities and qualities of the inputs and the nature of the processes needed to achieve the intended aims and objectives.
• In the applied research context, the inputs and processes can be modified, and the effects can be tracked with the feedback loops.
Introduction 3/4• Finally, a word of caution:
– As every social science student learns in Statistics 101, correlation does not imply causation. An observed correlation can represent the “causal effect” of X on Y, or the effect of Z on both X and Y, or more complicated effect relationships.
– An observed correlation can also be the consequence of how we allocate resources (the “allocation effect”). To simplify greatly:
• If we put high-achievers in well-resourced schools and low-achievers in poorly-resourced schools (elitist resource allocation), we will certainly see a positive correlation between resources and school learning outcomes;
• If we put both high-achievers and low-achievers in moderately well-resourced schools (egalitarian resource allocation), the correlation will be close to 0 but probably positive;
• If we provide additional pedagogical support to low-achievers (compensatory resource allocation), we are likely to observe a negative correlation between resources and school learning outcomes, even if the causal effect is positive!
Introduction 4/4• In survey research, the use of multivariate statistical
analysis can be of some help in sorting out the causal effect from the allocation effect, but there is no assurance that the allocation effect is completely controlled.
• Carefully controlled “experimental design”*, supported by propensity analysis, is probably the strongest tool we have today for disentangling the causal effect from the allocation effect.
* I use quotation marks because a true experimental design, as idealized in the natural sciences, is not really possible in the real social-economic-political world. You just do the best you can and try in the data analysis to control for the aberration.
What are the key indicators needed to
support decision making in the planning, management and development of
education system?
If you think this is complicated, try teaching in a classroom or managing a
school or, even worse, managing a national
education and training system!
Acknowledgements
• The first version of this model was based on J. B. Carroll (1963): “A Model of School Learning”. Teachers College Record. 64(723-733).
• The clock is placed in the Processes box as a reference to the seminal paper by B. S. Bloom, (1968). “Learning for Mastery”. Evaluation Comment. 1(2), University of California at Los Angeles, Center for the Study of Evaluation.
• For the evolution of this model I owe a great debt to my students and colleagues at Stockholm University, Institute for International Education, and to my friends and colleagues from research and consulting missions around the world.