VLDB 2026 Research / reviewers in the wild / expert
Yuseon Jeong
dblp:325/6798
· DBLP profile ↗
6ranked-venue papers
2as first author
6since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 6 · 2 first-author · 6 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Mapping Research on Student Self-Efficacy in Computer Science
Nevin Ada Çakmak, Zuhal Olomi, Arina Azmi, Deepti Gorrepati, Luoyuan Gu, Yuseon Jeong, Maria Motallebi, Kayna Mufidah, Zupaash Naveed, Khushal Rawat, Nihar Samant, Ishika Vithani, Brian Harrington 0001 |
ITiCSE (2) | 6 |
| 2026 | Impact of Instructor Gender on Student Perceptions of Coding Demonstration VideosabstractPrevious research indicates that students in introductory programming courses show a preference for male instructors. However, existing studies are mostly based on natural experiments, where instructor gender is necessarily confounded with other elements such as teaching style and existing classroom dynamics. Deepti Gorrepati, Nevin Ada Çakmak, Yuseon Jeong, Zuhal Olomi, Brian Harrington 0001 |
ITiCSE (1) | 3 |
| 2026 | A Systematic Literature Mapping of Gender Bias Towards Instructors in Computer Science EducationabstractGender bias has long been recognized as a barrier to diversity and inclusion within computer science. Though gender bias has been heavily discussed, current research on the influence of instructor gender on student bias remains fragmented and diffuse. In this work, we systematically query and map the existing research on gender bias as it relates to perceptions of computer science instructors. This mapping serves as a resource to the community in its own right, and also allows the identification of areas of over/under analysis and avenues for further research. Zuhal Olomi, Yuseon Jeong, Nevin Ada Çakmak, Deepti Gorrepati, Brian Harrington 0001 |
ITiCSE (2) | 2 |
| 2026 | Mapping the Research on Collaboration in Computing CoursesabstractCollaboration and Teamwork are some of the most important non-technical skills required by computer science graduates. However, the research on collaboration in CS education is diffuse and inconsistent. In this work, we set out to systematically catalog and map the research on collaboration as it pertains to computer science education. We produce a literature mapping of research on the axes of population being studied, intervention being researched, and method of evaluation. We find a large number of papers studying group projects or assessments, but very few with directly assigned roles or clear hierarchies, and much of the research is on the student experience, with relatively limited insight into the efficacy or learning outcomes. The full literature map, heat maps, and systematic details are made available for the community. Yuhan Pan, Max Cui, Jamie Hvizdos, Yuseon Jeong, Yee Shun (Anson) Kwok, Maliha Lodi, Roozbeh Yadollahi, Ruhika (Rue) Sriharsha, Brian Harrington 0001 |
ITiCSE (2) | 4 |
| 2024 | The Impact of Cognitive, Affective, and Psychomotor Learning Perception on Learning Outcomes in the eXtended Reality Based Nursing Simulation
Yuseon Jeong, Kukhyeon Kim, Jeeheon Ryu |
iLRN (1) | 1 |
| 2022 | Work-in-progress - Design of LMS for the Shared Campus in Metaverse Learning EnvironmentabstractThis study is a Metaverse education framework in higher education for a shared learning environment at a consortium university. Here is a case of a consortium university in Korea, which has established a shared learning environment that can entail various advantages by forming a consortium between local governments, universities, and companies. In this work in progress, a Metaverse virtual campus was opened to overcome the distance between regions, and an LMS system was used for learning management. Despite the different attributes of the website and Metaverse, suggestions on how to build a new learning system were described by combining mutual advantages. Yuseon Jeong, Seonan Choi, Jeeheon Ryu |
iLRN | 1 |