
Jina Kang
· Assistant ProfessorUniversity of Illinois Urbana-Champaign · Curriculum & Instruction
Active 2000–2024
Research topics
- Sociology
- Artificial Intelligence
- Computer Science
- Psychology
- Medical education
- Social psychology
- Medicine
- Biology
- Chemistry
- Human–computer interaction
- Cognitive science
- Epistemology
- Genetics
- Cancer research
- Pedagogy
- Cell biology
Selected publications
KAI1(CD82) is a key molecule to control angiogenesis and switch angiogenic milieu to quiescent state
Journal of Hematology & Oncology · 2021 · 47 citations
- Cancer research
- Cell biology
- Biology
BACKGROUND: Little is known about endogenous inhibitors of angiogenic growth factors. In this study, we identified a novel endogenous anti-angiogenic factor expressed in pericytes and clarified its underlying mechanism and clinical significance. METHODS: Herein, we found Kai1 knockout mice showed significantly enhanced angiogenesis. Then, we investigated the anti-angiogenic roll of Kai1 in vitro and in vivo. RESULTS: KAI1 was mainly expressed in pericytes rather than in endothelial cells. It localized at the membrane surface after palmitoylation by zDHHC4 enzyme and induced LIF through the Src/p53 pathway. LIF released from pericytes in turn suppressed angiogenic factors in endothelial cells as well as in pericytes themselves, leading to inhibition of angiogenesis. Interestingly, KAI1 had another mechanism to inhibit angiogenesis: It directly bound to VEGF and PDGF and inhibited activation of their receptors. In the two different in vivo cancer models, KAI1 supplementation significantly inhibited tumor angiogenesis and growth. A peptide derived from the large extracellular loop of KAI1 has been shown to have anti-angiogenic effects to block the progression of breast cancer and retinal neovascularization in vivo. CONCLUSIONS: KAI1 from PC is a novel molecular regulator that counterbalances the effect of angiogenic factors.
Understanding embodied immersion in technology‐enabled embodied learning environments
Journal of Computer Assisted Learning · 2021 · 47 citations
- Computer Science
- Sociology
- Artificial Intelligence
Abstract Objective The aim of this current paper is to investigate the salient embodiment features in the empirical studies on technology‐enabled embodied learning environments (TEELEs), and to contribute a comprehensive conceptual framework to direct the understanding and the designing of TEELEs – to embody and how to embody. Method In this thematic paper, we carefully selected and reviewed 28 empirical studies (peer‐reviewed journal articles published in the recent decade between 2010 and 2020) on TEELEs, and analyzed their salient features concerning embodiment. Results and Implications Synthesizing the characteristics distilled from the selected studies, we propose the conceptual framework of embodied immersion , which consists of three major dimensions, namely, physical, sensory, and cognitive immersions. Eight factors – means of embodiment, amount of motoric movements, point of view, media effects, haptic effects, operational congruency, learning congruency, and personalization – contribute to these three dimensions, and are carefully articulated, discussed, and explicated. The discussions around the embodied immersion framework are rooted in the concepts of presence, immersion, and agency. We regard our framework as a trinity borrowing the ingredients from each of those three that will guide through the understanding and the designing of TEELEs.
Mentoring relationships between doctoral students and postdocs in the lab sciences
Studies in Graduate and Postdoctoral Education · 2020 · 35 citations
- Psychology
- Pedagogy
- Medical education
Purpose This study aims to examine how science, technology, engineering, and mathematics doctoral students interact with postdocs within the research laboratory, identifying the nature and potential impacts of student–postdoc mentoring relationships. Design/methodology/approach Using a sample of 53 doctoral students in the biological sciences, this study uses a sequential mixed-methods design. More specifically, a phenomenological approach enabled the authors to identify how doctoral students make meaning of their interactions with postdocs and other research staff. Descriptive statistics are used to examine how emergent themes might differ as a product of gender and race/ethnicity and the extent to which emergent themes may relate to key doctoral student socialization outcomes. Findings This study reveals six emergent themes, which primarily focus on how doctoral students receive instrumental and psychosocial support from postdocs in their labs. The most frequent emergent theme captures the unique ways in which postdocs provide ongoing, hands-on support and troubleshooting at the lab bench. When examining how this theme plays a role in socialization outcomes, the results suggest that doctoral students who described this type of support from postdocs had more positive mental health outcomes than those who did not describe this type of hands-on support. Originality/value Literature on graduate student mentorship has focused primarily on the impact of advisors, despite recent empirical evidence of a “cascading mentorship” model, in which senior students and staff also play a key mentoring role. This study provides new insights into the unique mentoring role of postdocs, focusing on the nature and potential impacts of student–postdoc interactions.
Frequent coauthors
- 23 shared
Dong Wook Shin
- 17 shared
Jin Young Choi
- 16 shared
Min Liu
- 12 shared
Gunno Park
- 9 shared
Sa Liu
Harrisburg University of Science and Technology
- 9 shared
Klaus Marhold
- 9 shared
Lucas Horton
The University of Texas at Austin
- 9 shared
Ha Na Mo
Daegu Catholic University Medical Center
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