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A qualitative collective case study: exploring the impact of adaptive mathematics software on instruction in the elementary math classroom
Dissertation   Open access

A qualitative collective case study: exploring the impact of adaptive mathematics software on instruction in the elementary math classroom

Brian Carter
Doctor of Education (Ed.D.), Drexel University
Dec 2024
DOI:
https://doi.org/10.17918/00010821
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Abstract

Adaptive learning Elementary mathematics Technology integration Mathematics Education
This qualitative collective case study investigates the impact of adaptive mathematics software, specifically IXL, on instruction in second and third-grade classrooms within a suburban mid-Atlantic elementary school. Drawing on semi-structured interviews, lesson plans, usage reports, and end-of-year growth data, the study explores how this AI-powered tool influences teachers' planning, preparation, and instructional practices. It also examines the challenges and unintended outcomes associated with integrating adaptive technology into elementary mathematics education. The findings underscore IXL's potential to personalize instruction, support lesson design, and enhance student learning outcomes, while also revealing gaps in teacher training and barriers to effective technology implementation. These insights aim to guide professional development programs and inform administrators on the strategic integration of adaptive software to address learning loss and improve mathematics achievement in elementary classrooms.

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