Driving Simulators as Educational Outreach for Freight Transportation
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Summary
This research report addresses the critical workforce shortage in the freight transportation industry by developing and testing an educational outreach program designed to increase career awareness among middle and high school students. The project was motivated by the trucking industry’s persistent driver shortages, exacerbated by the COVID-19 pandemic, and the need to attract underrepresented groups, particularly women, to transportation careers. While many STEM outreach programs focus on engineering and planning roles, this study aimed to highlight front-line workforce positions, such as truck drivers, dispatchers, and logisticians, using driving simulators as an engaging educational tool. The methodology involved three primary components: simulator training, lesson plan design, and implementation during a summer camp. The researchers developed a five-module curriculum targeting students aged 11–14, structured to last approximately 2.5 hours. The modules progressed from identifying industry challenges and career options to hands-on simulator experience and problem-solving case studies. Specifically, Module 1 focused on brainstorming causes and solutions for driver shortages; Module 2 introduced nine transportation careers through a "Career BINGO" game; Module 3 provided hands-on experience with truck, car, forklift, and excavator simulators; Module 4 engaged students in case studies to identify how engineers and planners could mitigate driving challenges; and Module 5 required students to create promotional posters detailing pathways into their chosen transportation career. The program was piloted in July 2022 at the GirlTREC summer camp, hosted by the University of Arkansas and the City of Fayetteville Public Library, involving 25 middle school girls. The results indicated that the program successfully met its educational objectives within the allotted time. Student mentors reported high levels of participation and creative engagement, particularly during the brainstorming sessions where students generated diverse solutions to industry problems. The 40-minute simulator session was deemed sufficient for participants to experience various vehicle operations, fostering an appreciation for the technical skills required in freight transportation. Although the transition from high-energy simulator activities to seated case studies required deliberate facilitation to manage student energy levels, participants adapted smoothly. The final poster creation activity allowed students to synthesize their learning, resulting in clear articulations of career pathways and industry significance. The significance of this work lies in its provision of a replicable, active-learning framework for workforce development outreach. By leveraging ubiquitous driving simulator technology, the project offers a low-cost, high-impact method for universities, libraries, and workforce centers to engage young students in freight transportation careers. The study demonstrates that early exposure to simulator-based learning can effectively bridge the gap between abstract engineering concepts and tangible workforce roles, potentially aiding in the recruitment of a diverse and skilled future workforce for the multimodal transportation sector. The developed lesson plans and resources are made publicly available to support broader adoption of these outreach strategies.
Key finding
The implementation of a driving simulator-based educational module successfully increased middle school students' awareness of freight transportation careers and facilitated active learning about industry challenges.
Methodology
field_study
Sample size: 25
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 24 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Applied Guidance: countermeasure evaluation
- Methodological Resource: tool software
- Theoretical Contribution: computational model