Implementing the Assessment Standards for School Mathematics: Informal Assessment: A Story from the Classroom

1996 ◽  
Vol 89 (3) ◽  
pp. 248-250
Author(s):  
Mary Lynn Vincent

In fall 1994, I agreed to collaborate with Linda Wilson of the University of Delaware in a study of assessment in an algebra classroom. We were particularly interested in the types of strategies a teacher could use to document observations of students' work.

Hispania ◽  
1958 ◽  
Vol 41 (2) ◽  
pp. 213
Author(s):  
Daymond Turner

2019 ◽  

The University of Potsdam hosted the 25th ProMath and the 5th WG Problem Solving conference. Both groups met for the second time in this constellation which contributed to profound discussions on problem solving in each country taking cultural particularities into account. The joint conference took place from 29th to 31st August 2018, with participants from Finland, Germany, Greece, Hungary, Israel, Sweden, and Turkey. The conference revolved around the theme “Implementation research on problem solving in school settings”. These proceedings contain 14 peer-reviewed research and practical articles including a plenary paper from our distinguished colleague Anu Laine. In addition, the proceedings include three workshop reports which likewise focused on the conference theme. As such, these proceedings provide an overview of different research approaches and methods in implementation research on problem solving in school settings which may help close the gap between research and practice, and consequently make a step forward toward making problem solving an integral part of school mathematics on a large scale.


2011 ◽  
Vol 26 (1) ◽  
pp. 22-25 ◽  
Author(s):  
Robert A. Sikes ◽  
Randall L. Duncan ◽  
Kelvin Lee ◽  
Kirk Czymmek ◽  
Karl Steiner ◽  
...  

Author(s):  
Shari P. Scobee ◽  
Michael DuRoss ◽  
Edward C. Ratledge

Survey nonresponse bias is an important consideration in the development of survey designs for transportation studies. Researchers at the University of Delaware have developed a technique for reducing the survey nonresponse, as well as the cost of the travel survey. The method involves obtaining complete household and person characteristics for each household member; however, detailed travel data are gathered for only one randomly selected household member. Although the University of Delaware survey technique provides multiple benefits with respect to survey response rates and costs, it presents complications for travel model developers, particularly with respect to the development of trip production models. Because the trip production models are typically developed at the household level, the person-level trip rates from such a survey need to be expanded to represent a household’s trip rates. A method is presented for generating synthesized household trip production rates by using the 1995/96 Delaware Household Travel Survey, which gathered travel information for only one household member.


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