Why the changing American economy calls for twenty-first century learning: answers to educators' questions

While struggling with the current pressures of educational reform, some educators will ask whether their efforts make economic sense. Questioning the future makeup of the nation's workforce, many wonder how the educational system should be tempered to better prepare today's youth. This chapter answers educators' and parents' questions around the effect of fluctuations in the American economy on the future of education. The authors offer reassurance that good jobs will always be available, but warn that those jobs will require a new level of skills: expert thinking and complex communication. Schools need to go beyond their current curriculum and prepare students to use reading, math, and communication skills to build a deeper and more thoughtful understanding of subject matter. To explain the implications of the nation's changing economy on jobs, technology, and therefore education, the authors address a range of vital questions. Citing occupational distribution data, the chapter explores the supply and range of jobs in the future, as well as why changes in the U.S. job distribution have taken place. As much of the explanation for the shift in job distribution over the past several decades is due to the computerization of the workforce, the authors discuss how computers will affect the future composition of the workforce. The chapter also addresses the consequences of educational improvement on earnings distribution. The authors conclude that beyond workforce preparedness, students need to learn how to be contributing members of a democracy.     

Generalized Method of Moments With Many Weak Moment Conditions

Using many moment conditions can improve efficiency but makes the usual generalized method of moments (GMM) inferences inaccurate. Two‐step GMM is biased. Generalized empirical likelihood (GEL) has smaller bias, but the usual standard errors are too small in instrumental variable settings. In this paper we give a new variance estimator for GEL that addresses this problem. It is consistent under the usual asymptotics and, under many weak moment asymptotics, is larger than usual and is consistent. We also show that the Kleibergen (2005) Lagrange multiplier and conditional likelihood ratio statistics are valid under many weak moments. In addition, we introduce a jackknife GMM estimator, but find that GEL is asymptotically more efficient under many weak moments. In Monte Carlo examples we find that t‐statistics based on the new variance estimator have nearly correct size in a wide range of cases.     

Toward an “Awareness” of the Relationship between Task Performance and Own Verbal Accounts of that Performance

The existence of learning without awareness has been debated for many years. Learning without awareness is said to occur when an individual''s behavior has been affected without that individual being aware of the conditions affecting the behavior, of the relationship between those conditions and the behavior, or of the fact that the behavior has changed. This paper describes a series of experiments investigating this phenomenon. The findings support the existence of “learning without awareness.” However, it is argued that the term “awareness” should be discarded as it is misleading. Instead, the results of the experiments are discussed in terms of behavior for which the individual does not provide a complete verbal account.     

Sociotechnology and the Environment

The founders of the sociotechnical modelperceived its relevance at the macro level of thecommunity, at the meso level of whole organizations, aswell as at the micro level of the primary work systems, but it is at the primary work system that mostapplications have been carried out. An efficient microlevel sociotechnical solution may still cause thetechnology to have a harmful impact on the environment. An increasing popular awareness ofenvironmental damage due to certain technologies leadsone to consider an extension of the important jointoptimization concept to a systemic heuristic devicecalled the socioecotechnical model in which the intra-and extra-organizational factors can be jointly assessedand optimized.