Zobrazeno 1 - 10
of 6 576
pro vyhledávání: '"Hyo-Jeong So"'
Autor:
Min-Hwi Seo, Hyo-Jeong So
Publikováno v:
Educational Technology & Society, Vol 25, Iss 4, Pp 15-28 (2022)
The purpose of this research was to design and evaluate the efficacy of a gesture-based exhibit with augmented reality (AR) for understanding complex scientific concepts. In particular, this study focuses on the effect of differently guided condition
Externí odkaz:
https://doaj.org/article/fcf6f1fcd3d04d3f8f71f5df56fdb5d3
Publikováno v:
Educational Technology & Society, Vol 25, Iss 2, Pp 117-129 (2022)
The goal of this study was to examine the effect of engaging students in socially engaged art (SEA) education to create 3D virtual worlds for fostering creative problem-solving (CPS) skills. The study was conducted with 135 students (aged 16) of boys
Externí odkaz:
https://doaj.org/article/0c248c9b2a5b4653b92ac68721c6ae64
Autor:
Wenli Chen, Tak Wai Chan, Lung Hsiang Wong, Chee Kit Looi, Calvin C. Y. Liao, Hercy N. H. Cheng, Su Luan Wong, Jon Mason, Hyo-Jeong So, Sahana Murthy, Xiaoqing Gu, Zhongling Pi
Publikováno v:
Research and Practice in Technology Enhanced Learning, Vol 15, Iss 1, Pp 1-19 (2020)
Abstract Interest-driven creator (IDC) theory is a design theory that intends to inform the design of future education in Asia. It consists of three anchored concepts, namely, interest, creation, and habit. This paper presents the third anchored conc
Externí odkaz:
https://doaj.org/article/9a20339634444c09a0178252b7786701
Publikováno v:
Maxillofacial Plastic and Reconstructive Surgery, Vol 41, Iss 1, Pp 1-7 (2019)
Abstract Background The aim of this study was to investigate clinical and pharmacoepidemiologic characteristics of medication-related osteonecrosis of the jaw. Methods The study population is comprised of 86patients who were diagnosed with ONJ at Ewh
Externí odkaz:
https://doaj.org/article/402e7ec87d7b4eb7a350e92820a7dbdd
Environmental, social, and governance (ESG) factors are widely adopted as higher investment return indicators. Accordingly, ongoing efforts are being made to automate ESG evaluation with language models to extract signals from massive web text easily
Externí odkaz:
http://arxiv.org/abs/2403.15040
Publikováno v:
TEFLIN Journal, Vol 32, Iss 1 (2021)
This study examines how reflective practices can be an effective strategy in enhancing in-service teachers' Technological Pedagogical Content Knowledge (TPACK). The participants were two English teachers in high schools in Indonesia who designed and
Externí odkaz:
https://doaj.org/article/b93c73b422364c59a8b7f180ffc17652
Autor:
Hyo Jeong Kim, Kyung Won Kim, Cheol Woong Jung, Jun Young Lee, Ji Yoon Choi, Beom Seok Kim, Myoung Soo Kim, Jaeseok Yang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Metabolic syndrome is a significant risk factor for poor graft outcomes in kidney transplant (KT) patients. However, the effects of variability in metabolic parameters on graft outcomes in KT patients have not been completely elucidated. A t
Externí odkaz:
https://doaj.org/article/a49c2e4865e14fdf8c3f522f29d91144
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Aim This study was conducted to develop an electrocardiogram education program that incorporates an HTML webpage and blended learning methods to enhance electrocardiogram interpretation skills. Through continual and efficient education, the
Externí odkaz:
https://doaj.org/article/b85db15d377a458b88ebab541214a3ee
Autor:
Ji Yoon Lee, Ji Won Lee, Min Sung Chung, Jong Gwon Choi, Sung Hoon Sim, Hyo Jeong Kim, Jeong Eun Kim, Kyoung Eun Lee, Yeon Hee Park, Myoung Joo Kang, Mi Sun Ahn, Yee Soo Chae, Ji Hyun Park, Jee Hyun Kim, Gun Min Kim, Jae Ho Byun, Keon Uk Park, Ju Won Kim, Seung Pil Jung, Jung Hyun Lee, Jung Seok An, Byunghyun Jang, Dayoung Yoon, Jiwon Kim, Jisoo Hong, Harim Koo, Kyu Ran Cho, Cheol Yong Kim, Jason K. Sa, Kyong Hwa Park
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Breast cancer (BC) is a complex disease with profound genomic aberrations. However, the underlying molecular disparity influenced by age and ethnicity remains elusive. Methods In this study, we aimed to investigate the molecular p
Externí odkaz:
https://doaj.org/article/e12f5b2786b14d5bbe27163e1eb5a3d5
Autor:
Lee Hyo-Jeong, Kim Sung Ryul, Kim Byoung Soo, Lee Suhyun, Yi Yoon Ju, Jeon Han Byol, Son Minkyo, Park Kyunghye, Park Chun Ho, Oh Heemuk, Lee Jun Bae, Park Jun Dong
Publikováno v:
Applied Rheology, Vol 34, Iss 1, Pp 215-25 (2024)
We propose a predictive model for various sensory textures utilizing machine learning techniques based on the largest rheology and panel-tested sensory texture database ever assembled. In addition to the conventional rheological parameters typically
Externí odkaz:
https://doaj.org/article/6007fffb4547455d850601452ca6b5d6