Education Commons^™

Work Hard For The Money: Performance-Based Funding In The State Of Louisiana, Victoria C. Lloyd

LSU Doctoral Dissertations

The purpose of this study is to examine in what ways, if any, the introduction of the equity incentive portion of Louisiana’s performance-based funding model impacted the underserved student groups it was designed to support. I employed a quantitative quasi-experimental design for this study by running three outcome variables (Adult Learner Enrollment, First-Time Enrollment for Racially Minoritized Students, and Low-Income Student Enrollment) by sector (two- and four-year public institutions) and employing a differences-in-differences regression with panel data. In my analysis I uncovered two main findings: 1) Louisiana’s equity incentive is showing early signs of success for all three underserved groups …

Effects Of Research Dissemination Vehicle Use On Preservice Teacher Candidate Knowledge Acquisition, Allie Jenkins Boquet

LSU Doctoral Dissertations

This study provides information on how EBPs can be disseminated to education practitioners for the purpose of knowledge acquisition. With a well-established research-to-practice gap in the field of education, this study determined which research dissemination vehicle, practitioner journal article, informational video, or textbook chapter, allowed for the highest acquisition of knowledge for preservice teachers.

The purpose of this study was to determine how the use of three different research dissemination vehicles, 1) practitioner journal articles, 2) informational videos, and 3) textbook chapters, impacts acquisition of knowledge of the EBP, instructional feedback, when utilized by preservice teacher candidates as well as …

Machine-Learning Approaches For Developing An Autograder For High School-Level Cs-For-All Initiatives, Sirazum Munira Tisha

LSU Doctoral Dissertations

Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the quality of coding assignments from a high school-level CS-for-all computational thinking course. For evaluating our autograder, we graded 2,675 samples from five different assignments from the past three years, including open-ended problems from different units of the course curriculum. Our autograder uses features based on lexical analysis …

Improving Teacher Intervention Decisions Using The Fraction Error Flowchart, Katherine Pettrey

LSU Doctoral Dissertations

In the U.S. the fifth-grade mathematics curriculum is largely devoted to building fraction skills, providing an essential foundation for future success in mathematics (National Mathematics Advisory Panel, 2008). Unfortunately, students in the U.S. struggle with fraction proficiency (National Assessment of Educational Progress, 2022; Organisation for Economic Co-operation and Development, 2018). Even when teachers facilitate interventions for struggling students those interventions may not be aligned with student need (Riccomini, 2005). Additionally, teachers struggle to identify research-based practices (RBPs) when presented with student data (Means et al., 2009). The purpose of this study was to create and test a flowchart that could …

Explanation Needed: Understanding The Low Graduation Rates Of Spanish-Speaking English Learners In Southeastern Louisiana, Alice I. Garcia

LSU Doctoral Dissertations

This qualitative research study used the case study method of one-on-one interviews to collect and examine the experiences of former English learners (ELs) who were unable to finish high school in southeastern Louisiana. This study aimed to identify specific factors that, using Everett Lee’s theory, pushed or pulled these ELs from school and affected their ability to graduate. The push factors that were identified included language, inadequate support, academic performance, discrimination, and lack of connection with school and culture. Pull factors that were identified included lack of prior education, immigration, poverty, pregnancy, being far from family, financially supporting family, and …