There is mounting hope in the United States that federal legislation in the form of No Child Left Behind will improve educational outcomes. As titanic as the challenge appears to be, however, the solution could be at our fingertips. This volume identifies visual types of cognitive models in reading, science and mathematics for researchers, test developers, school administrators, policy makers and teachers. In the process of identifying these cognitive models, the book also explores methodological or translation issues to consider as decisions are made about how to generate psychologically informative and psychometrically viable large-scale assessments based on the learning sciences. Initiatives to overhaul educational systems in disrepair may begin with national policies, but the success of these policies will hinge on how well stakeholders begin to rethink what is possible with a keystone of the educational system: large-scale assessment.
Combining a range of case studies with theoretical research, this volume analyzes current developments and best practice. The contributors discuss innovative approaches in assessment, peer...
Assessment is a fundamental issue in research in science education, in curriculum development and implementation in science education as well as in science teaching and learning.This book takes a...
This is an up to date guide to teaching and learning in higher education, addressing issues raised by the Professional Standards Framework. It encourages the development of thoughtful, reflective...
There has been a remarkable growth of interest in the assessment of student learning and its relation to the process of learning in higher education over the past ten years. This interest has been...