Date of Award

6-2024

Degree Name

Master of Arts

Department

Psychology

First Advisor

Sarah Pinkelman, Ph.D.

Second Advisor

Kourtney Bakalyar, Ed.D.

Third Advisor

Hugo Curiel, Ph.D.

Keywords

Applied behavior analysis, I-connect, post-secondary, self-monitoring, technology, university

Access Setting

Masters Thesis-Open Access

Abstract

College students with disabilities often experience difficulties with meeting the demands of university level courses due to challenges with time management and impulse control (Shmulsky & Gobbo, 2013). Self-monitoring has been proven effective for various populations and behaviors, although limited research has been conducted with college students with disabilities. I-Connect, a technology-based self-monitoring tool, is a digital application that utilizes momentary time sampling where users can select a behavior and interval of time to be prompted to self-monitor that behavior (University of Kansas, 2022). The app also collects real time data and automatically creates graphs to depict the responses collected during self-monitoring. A reversal design was used to examine the effects of self-monitoring via I-Connect on behaviors related to academic engagement for a college student with a disability during a structured study time. This study also examined the social validity of the goals, procedures, and outcomes of the procedures. Results demonstrated no functional relation between self-monitoring via I-Connect and behaviors related to academic engagement. Limitations of the current investigation and future directions for research are described.

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