Dissertation Information for Joan LittlefieldNAME:
DEGREE:
DISCIPLINE:
SCHOOL: ADVISORS: COMMITTEE MEMBERS: MPACT Status: Incomplete - Not_Inspected Title: Solving mathematical story problems: Children's strategies to identify relevant information as a function of information similarity
Abstract: "Four goals of the present study were to: (a) develop a model of similarity between relevant and irrelevant information in mathematical story problems and assess the degree to which similarity affects discrimination performance, (b) examine the consistency of individual students' discrimination performance across time and problems, (c) determine whether the effects of information similarity are systematically related to mathematical success levels, and (d) identify the discrimination strategies used by individual students and examine group and individual differences in these strategies. A conceptual model of information discrimination was developed which guided the analysis of discrimination strategies. In this model, performance is characterized as a search process by which students focus on particular features of the question (e.g., agent, action, unit) in story problems. According to this model, students attempt to match the values of features requested in the question with those presented in the problem text. |
MPACT Scores for Joan LittlefieldA = 0 Advisors and Advisees Graphgenerating graph, please reload |
Students under Joan Littlefield
ADVISEES:
- None
COMMITTEESHIPS:
- Zoe Stavri - University of Wisconsin, Madison (1992)
- Molly Nicaise - University of Wisconsin, Madison (1993)