VLDB 2026 Research / reviewers in the wild / expert
Jewoong Moon
dblp:190/8766
· DBLP profile ↗
5ranked-venue papers
1as first author
3since 2021 · last 2026
0000-0001-6311-3019ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 5 · 1 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 1 first-author · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Supporting K-12 Teachers in the Presidential AI Challenge: A Case Study of a Faculty-Mentored Workshop for AI Tool Creation
Yukyeong Song, Rachel Min Wong, Jinhee Kim, Jewoong Moon, Edward Patton, Vinhthuy T. Phan, Jennifer McCullum, Jess Day |
AIED (5) | 4 |
| 2025 | Echo-Teddy: Preliminary Design and Development of Large Language Model-Based Social Robot for Autistic Students
Unggi Lee, Hansung Kim 0002, Juhong Eom, Hyeonseo Jeong, Gyuri Byun, Yunseo Lee, Minji Kang, Gospel Kim, Jihoi Na, Jewoong Moon, Hyeoncheol Kim |
ITS (2) | 11 |
| 2022 | Work-in-progress - Developing an Evidence-Centered Model for Computational Thinking in Virtual Worlds with Children with AutismabstractThis work-in-progress paper reports on the establishment of preliminary reliability for a domain-agnostic evidence-centered assessment model to measure computational thinking (CT) in an online virtual world. Preliminary reliability was established between two researchers through manually coding 800 minutes of recorded learning sessions and over 350 minutes of consultation. Participants were three adolescents diagnosed with autism spectrum disorder. Findings indicate an acceptable level of reliability between the two coders, opening the way to more extensive application of the model in future studies. Alex James Barrett, Nuodi Zhang, Fengfeng Ke, Jewoong Moon, Zlatko Sokolikj |
iLRN | 4 |
| 2020 | Tracking Representational Flexibility Development through Speech Data MiningabstractIn this work-in-progress research we exploited and investigated a virtual reality (VR) based, flexibility learning environment (FLE) in which adolescents with autism use, customize, and design an assortment of simulation games that represent and exemplify the application of forces and Newton's laws of motion. The simulation/game modeling and making tasks acted as the primers of practicing and assessing representational flexibility in solving the engineering design problems with computational thinking. The participants' participation behaviors and verbal utterances during the intervention sessions have been archived via screen and webcam recordings. The current study findings indicated that two approaches of speech or text data mining, multi-label classification and similarity index, can act as the in-situ performance assessment methods to evaluate the representational flexibility development for engineering design and computational thinking of a heterogeneous learner group. Fengfeng Ke, Jewoong Moon, Zlatko Sokolikj |
FIE | 2 |
| 2016 | Categorization of Embodied User Interface in Immersive Virtual EnvironmentabstractThe purpose of this paper is to identify central issues regarding user interactions in a virtual environment for immersive learning. This preliminary argument explores the importance of categorization to match with cognitive domains and natural user interfaces in the immersive virtual environment. An example of applying immersive virtual environment (IVE) in cognitive domains is provided. The research idea will help practitioners in advanced learning technologies to design a virtual platform aligning with instructional goals. Jewoong Moon, Fengfeng Ke |
ICALT | 1 |