Dissertation Defense: A Casual Comparative Analysis of a Computer Adaptive Mathematics Program Using Multilevel Propensity Score Matching and Modeling to Improve Educational Decision-Making
June 15, 2018 @ 10:00 AM - 12:00 PM
Announcing the Final Examination of Justin Seabolt for the degree of Doctor of Education.
The purpose of this study was to examine the effectiveness of a computer adaptive mathematics program, i-Ready® Mathematics Instruction, in CFSD using a variety of quantitative analyses to improve educational decision-making. In particular, students in the fifth grade at Central Florida School District were examined in relation to the gains made on their end-of-year statewide mathematics assessment, known as the Florida Standards Assessment. Per i-Ready®, students who use i-Ready® Mathematics Instruction for a minimum of 45 minutes per subject per week for at least 25 weeks show significantly greater gains than those who do not (Curriculum Associates, 2017b). Therefore, multilevel propensity score matching was utilized to split students into the following comparison groups: those who used the program with fidelity and those who did not. Next, a series of multilevel models and dependent t-tests were examined to evaluate the effectiveness of i-Ready® Mathematics Instruction. In conclusion, the use of i-Ready® Mathematics Instruction did positively impact fifth grade students in Central Florida School District who used the program with fidelity with relation to their FSA Math score gains, compared to those who did not use the program with fidelity.
Committee in charge: Stephen Sivo (Chair), Haiyan Bai, Bonnie Swan, Thomas Vitale