This report describes an analysis of an intervention with the goal of enhancing mathematical understanding through the use of graphing technology, in-classroom networks and daily problem solving. The intervention has been implemented in several 7th and 8th grade math classes in a Texas school district. This analysis examined changs in the TAKS math scores of students receiving the intervention compared to students not receiving the intervention in the academic school year 2005-6.
These results for all four models presented, indicate that students that are in the treatment group,
For Analysis One, results indicate that being included in the study group tends to predict an increase in the math TAKS assessment. The first model (Table 3), indicated that the estimatemath TAKS NCE score tends to be about 5 NCE points greater in gains than comparison students. However, in the second model (Table 4), the study group change was not statistisignificant, although the coefficient was positive, indicating that scores for the study students increased slightly compared to other 7th and 8th grade students in the district.
In Analysis Two, the third model (Table 5), indicated that the estimated math TAKS NCE score owever, in the fourth model (Table 7), the treatment group change was not statistically significant, although the coefficient was positive, indicating that scores for the treatment stend to increase compared to other 7th and 8th grade students in the district. In this model there was a discontinuity observed at the cutoff, but the treatment group growth was not significantlydifferent from the other 7th and 8th grade students in the district.
Although causal conclusions can not be made, the students in the treatment program appear to have benefited the intervention and from the key components which included: extended learningtime, use of technology to motivate and enhance learning opportunities, provision of common, aligned assessments, increased teacher content knowledge, and development of high expectationfor all students. The goal of this systemic intervention was improve mathematics achievement. Results indicate that students who received the intervention had on average, higher math TAKSscores that the students not receiving the intervention
The research design that utilizes Regression Discontinuity Design (RDD) was applied to produce a “gold standard” study without major disruption of normal school work. These research results indicate that applying an intervention program to those students most in need (students not passing the math TAKS), can produce both high quality research results and benefit studentneed.
Based on these analyses and given the goals of the program, the Richardson Model for improving math TAKS results can be considered a success. In addition, the successful uregression discontinuity design and the consistency in the increases shown under both the regression discontinuity analyses and Ordinary Least Squares analyses speak to the effectivof the statistical approaches advanced in this research project.
Further examination of the district administered Benchmark tests will be made. From this researchers hope to better understand the connection of program implementation, student progress toward learning objectives, and test performance. Finally, larger “N” or number ostudents involved in future projects may help some of the positive trends observed in this preach the level of being statistically significant.