Developing a Competition-Based Framework for Undergraduate Autonomous Driving Education: A Three-Year Iterative Design Study

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Title: Developing a Competition-Based Framework for Undergraduate Autonomous Driving Education: A Three-Year Iterative Design Study
Language: English
Authors: Sung Bhin Oh (ORCID 0000-0001-9658-3033), Jae Wook Jeon (ORCID 0000-0003-0037-112X), Young Soo Do (ORCID 0000-0003-2722-2562), Jong Hun Kim (ORCID 0009-0004-7378-080X), Si Woo Lee (ORCID 0009-0007-1006-9158), Jin Sun Lee (ORCID 0009-0008-8484-4433), Se Jeong Lim (ORCID 0009-0009-1672-8673), Jae Bum Park (ORCID 0009-0006-1506-5263), Hyeong Keun Hong (ORCID 0009-0007-4678-2019), Sung Ho Hwang (ORCID 0000-0003-3665-2564), Eun Byung Park (ORCID 0000-0003-4071-2814), Il Yong Chun (ORCID 0000-0002-4226-3760), Hoi Myung Choi (ORCID 0000-0001-6964-3934), Chang Wan Kim (ORCID 0000-0003-2952-9453), Tae Uk Jung (ORCID 0000-0002-5674-4565), Hae Ji Kim (ORCID 0000-0001-8946-9080), Woo Seong Che (ORCID 0000-0003-3975-6369), Byung Young You (ORCID 0000-0003-0838-083X), Gu Young Cho (ORCID 0000-0002-7263-8172), Sang Hu Park (ORCID 0000-0002-7053-1515), Sang Myeong Han (ORCID 0009-0006-7237-4871), Ock Taeck Lim (ORCID 0000-0001-8130-0838), Ik Whang Chang (ORCID 0000-0002-2244-3780), Chang Mook Kang (ORCID 0000-0003-2467-2074), Won Oh Lee (ORCID 0000-0002-9624-0505), Il Jae Lee (ORCID 0009-0004-0208-8859), Ho Joon Lee (ORCID 0000-0002-4590-7832), Suk-Hyun Seo (ORCID 0000-0003-1800-3130), Tae Wung Kim (ORCID 0000-0001-5162-5420), Hyoung Wook Lee (ORCID 0000-0003-4875-1308), Myung Seop Lim (ORCID 0000-0002-5339-2728), Cha Sik Park (ORCID 0000-0001-9500-225X), Ki Beom Lee (ORCID 0000-0002-9745-7116), Won Ah Park (ORCID 0000-0001-8886-2796), Yun Hyoung Hwang (ORCID 0000-0003-0533-2031), Hyun Joon Chung (ORCID 0009-0006-5156-9469)
Source: ACM Transactions on Computing Education. 2026 26(2).
Availability: Association for Computing Machinery. 1601 Broadway 10th Floor, New York, NY 10119. Tel: 800-342-6626; Tel: 212-626-0500; Fax: 212-944-1318; e-mail: acmhelp@acm.org; Web site: http://toce.acm.org/
Peer Reviewed: Y
Page Count: 42
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Competition, Undergraduate Students, Computer Software, Motor Vehicles, College Faculty, Student Attitudes, Teacher Attitudes, Teamwork, Foreign Countries, Automation
Geographic Terms: South Korea
DOI: 10.1145/3787970
ISSN: 1946-6226
Abstract: Despite the growing importance of autonomous driving (AD) education, educators face substantial challenges in providing undergraduate students with accessible, hands-on learning experiences that connect theory and practice. AD education requires students to master complex, interdisciplinary systems, yet traditional teaching methods often fail to fully integrate theory and practice. Various strategies, such as simulation environments and small-scale autonomous vehicle platforms, have been explored to address these challenges. However, these approaches often lack the realism or scalability required to provide students with a comprehensive understanding of AD systems. To address these challenges, we developed and evaluated a competition-based learning framework designed to teach AD software technology. In a three-year iterative design study, we implemented a framework combining a cost-effective 1/5-scaled autonomous vehicle platform with team-based competitions. This framework was progressively improved through a mixed-methods analysis of data from 445 students across five competitions and two capstone design courses. The quantitative results showed statistically significant improvements in the students' self-assessed skills with large effect sizes, demonstrating that the framework significantly boosted students' technical abilities and motivation. The qualitative feedback confirmed the educational value of the platform's realism and peer-based observations of the competitions. This article presents the complete educational framework, outlines the iterative design process and key design decisions, and discusses the lessons learned. It also provides a validated model and practical guidelines for educators seeking to incorporate effective, competition-based AD education into their curricula.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1504366
Database: ERIC
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  Data: Despite the growing importance of autonomous driving (AD) education, educators face substantial challenges in providing undergraduate students with accessible, hands-on learning experiences that connect theory and practice. AD education requires students to master complex, interdisciplinary systems, yet traditional teaching methods often fail to fully integrate theory and practice. Various strategies, such as simulation environments and small-scale autonomous vehicle platforms, have been explored to address these challenges. However, these approaches often lack the realism or scalability required to provide students with a comprehensive understanding of AD systems. To address these challenges, we developed and evaluated a competition-based learning framework designed to teach AD software technology. In a three-year iterative design study, we implemented a framework combining a cost-effective 1/5-scaled autonomous vehicle platform with team-based competitions. This framework was progressively improved through a mixed-methods analysis of data from 445 students across five competitions and two capstone design courses. The quantitative results showed statistically significant improvements in the students' self-assessed skills with large effect sizes, demonstrating that the framework significantly boosted students' technical abilities and motivation. The qualitative feedback confirmed the educational value of the platform's realism and peer-based observations of the competitions. This article presents the complete educational framework, outlines the iterative design process and key design decisions, and discusses the lessons learned. It also provides a validated model and practical guidelines for educators seeking to incorporate effective, competition-based AD education into their curricula.
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