Assessing Model-Based Reasoning using Evidence- Centered Design: A Suite of Research-Based Design Patterns (SpringerBriefs in Statistics)
| Author | : | |
| Rating | : | 4.45 (569 Votes) |
| Asin | : | 3319522450 |
| Format Type | : | paperback |
| Number of Pages | : | 130 Pages |
| Publish Date | : | 2013-08-18 |
| Language | : | English |
DESCRIPTION:
Robert J. Mislevy, PhD, is Frederic M. Lord Chair in Measurement and Statistics at the Educational Testing Service in Princeton, New Jersey, and Professor Emeritus at the University of Maryland.
Current interest in developing and using models has increased with the release of the Next Generation Science Standards, which identified this as one of the eight practices of science and engineering. Model-based reasoning is central to science education and thus science assessment. Haertel, PhD, is Director of Assessment Research and Design at the Center for Technology in Learning, SRI International.Michelle M. Lord Chair in Measurement and Statistics at the Educational Testing Service in Princeton, New Jersey, and Professor Emeritus at the University of Maryland.Geneva D. Access to these des
Each design pattern lays out considerations concerning targeted knowledge and ways of capturing and evaluating students’ work. This Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science education standards. Understanding, exploring, and interacting with the world through models characterizes science in all its branches and at all levels of education. These design patterns are available at design-drkdii/padi/do/NodeAction?state=listNodes&NODE_TYPE=PARADIGM_TYPE. However, the interactive, complex, and often technology-based