Effects of Calculator Use on Scores on a Test of Mathematical Reasoning

A sample of college-bound juniors from 275 high schools took a test consisting of 70 math questions from the SAT. A random half of the sample was allowed to use calculators on the test. Both genders and three ethnic groups (White, African American, and Asian American) benefitted about equally from being allowed to use calculators; Latinos benefitted slightly more than the other groups. Students who routinely used calculators on classroom mathematics tests were relatively advantaged on the calculator test. Test speededness was about the same whether or not students used calculators. Calculator effects on individual items ranged from positive through neutral to negative and could either increase or decrease the validity of an item as a measure of mathematical reasoning skills. Calculator effects could be either present or absent in both difficult and easy items     

The Relation Between Preschoolers’ Vocabulary Development and Their Ability to Predict and Recognize Words

By age 2, children are developing foundational language processing skills, such as quickly recognizing words and predicting words before they occur. How do these skills relate to children’s structural knowledge of vocabulary? Multiple aspects of language processing were simultaneously measured in a sample of 2-to-5-year-olds (N = 215): While older children were more fluent at recognizing words, at predicting words in a graded fashion, and at revising incorrect predictions, only revision was associated with concurrent vocabulary knowledge once age was accounted for. However, an exploratory longitudinal follow-up (N = 55) then found that word recognition and prediction skills were associated with rate of subsequent vocabulary development, but revision skills were not. We argue that prediction skills may facilitate language learning through enhancing processing speed.     

On computing a buy/copy policy using the Pitt-Kraft model

The Pitt-Kraft model of buying versus photocopying results in a small, but complex, nonlinear program. This paper identifies a Kuhn-Tucker point and demonstrates that for certain parameter values it is not optimal. A policy generation procedure is presented; the purpose is to prevent convergence of a primal algorithm to this inferior policy, which satisfies the Kuhn-Tucker optimality conditions.     

UK Work Placements: A Choice Too Far?

Tertiary Education and Management - Increasing expectations are being placed on higher education institutions to ensure the economic relevance of research and knowledge creation as well as...     

Knowing,Believing, and Understanding: What Goals for Science Education?

Science &; Education - What is a teacher to do when confronted with a student who says “I understand that theory (e.g., evolution), but I don't believe it”? The purpose of this...