Skip To Main Content
Yan-Ying Ju on Muck Rack

Yan-Ying Ju

As seen in: MDPI, Taylor & Francis Online
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Yan-Ying

Contact Yan-Ying, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Policy drivers and barriers to inclusive EdTech adoption in special education: a logistic regression study

|
By Hsin-Yi Kathy Cheng, Yu-Chun Chen, Yu-Chun Yu, Yan-Ying Ju
| Taylor & Francis Online
ABSTRACT Amid growing policy commitments to inclusive education, this study examines the factors shaping educational technology (EdTech) adoption among special education teachers in Taiwan. Based on a national survey of 704 teachers across 28 schools, we identify key predictors of EdTech use, including professional development experience, teaching tenure, educational stage taught, and teacher age.
Open in Who Shared Issue with article?

Exploring Growth-Stage Variations in Home Use of Positioning and Mobility Assistive Technology for Children with GMFCS IV Cerebral Palsy: Parental Insights and Challenges

|
By Hsin-Yi Kathy Cheng, Yan-Ying Ju, Yu-Chun Yu, Shun-Yin Hu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (463) Issue with article?

Multi-Sensor Respiratory–Swallow Telecare System for Safe Feeding in Different Trunk Inclinations: System Development and Clinical Application

|
By Wann-Yun Shieh, Chin-Man Wang, Yan-Ying Ju, Hsin-Yi Kathy Cheng
| MDPI
Abstract : Proper positioning is especially important to ensure feeding and eating safely. With many nursing facilities restricting visitations and close contact during the coronavirus pandemic, there is an urgent need for remote respiratory–swallow monitoring. This study aimed to develop a semiautomatic feeding telecare system that provides instant feedback and warnings on-site and remotely. It also aimed to analyze the effects of trunk positions on respiratory–swallow coordination.
Open in Who Shared Issue with article?
See all 3 licensed articles (4 Total)