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University of Missouri--Kansas City

The Relationship Between Student Performance on ALEKS Software and Standardized Tests

Abstract

dc:description.abstract

Educational technology is evolving and growing at a faster pace than ever before. Such fast-paced growth makes it difficult to evaluate and measure its effectiveness in a timely manner and creates a need for independent academic literature in this area. This study serves to address to this need and contribute to the body of literature. The intent of this study is to identify the nature of the relationship between middle school students’ progress on ALEKS mathematics software during a school year and their performance on mathematics state assessments. The study is conducted in a Midwest urban charter school with approximately 300 students. This is a quasi-experimental quantitative research design with a sample size of 336 students in grades sixth through eighth between the years of 2015 and 2019. Archived data from these years have been compiled and analyzed using a Pearson correlation and t-test to clarify the nature of the relationship between independent and dependent variables.

Degree

thesis:*
Name thesis:degree_name
Ph.D. (Doctor of Philosophy)
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Educational Leadership, Policy and Foundations (UMKC)
Grantor
University of Missouri--Kansas City
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Isgandarli, Elyar
Advisors dc:contributor.advisor
  • Caruthers, Loyce Ellenor, 1947-
  • Barger, Rita

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10355/90580
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/90580

Chain of custody

source
Harvested from
University of Missouri - Kansas City
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Isgandarli, Elyar. The Relationship Between Student Performance on ALEKS Software and Standardized Tests. Doctoral thesis, University of Missouri--Kansas City, 2022. https://hdl.handle.net/10355/90580