Research
Research groups
Research Family Group at Purdue University
From 2021 Fall semester
Exploring Disruptive Education @Purdue
CARE Lab
CARE Lab (Computer Science, Artificial Intelligence, Robotics, and Emerging technology) at Purdue Univesity
From the Spring 2023 semester (in-progress)
CARE project
CARE - Chips, Artificial Intelligence, and Robots for Education
A collaboration project which is for developing AI-related learning modules to support teachers with one partner school in South Korea
From the Spring 2023 semester (in-progress)
Awarded Service Learning Grant ($1,500) at Purdue
Guided by Dr. Wanju Huang
Institute of Global Education for the Advancement of Innovative Learning in Daegu National University of Education
Have participated as a Co-Researcher in the Lab (2018 - Present)
Project on software education for all elementary teachers (SWEET) (2018 - 2021)
Research on diagnostic tool development of software education core competency (2019 - 2021)
Project on capacity building for distance education at universities (2020 - 2021)
Research on IB PYP education and ICT (2020 - 2021)
Manuscripts
“AI-Integrated English Language Teaching in K-12 Classrooms: Insights from South Korea”
(Accepted) A book chapter In C. Wang & Z. Tian (Eds.), Rethinking Language Education in the Age of Generative AI. Routledge.
Authors: Woongsik Choi, Nari Kim, & Wonjin Yu (All three authors equally contributed to the manuscript)
“Stimulating the Interest of Young Learners in Physics through Storytelling and STEM Activities”
(Published) Describing the 'Physics is Fun Project' that is an initiative funded by Purdue’s Office of Engagement and aims to promote an interest in physics among young learners aged 5 to 12.
Authors: Babalola, Emmanuel; Yu, Wonjin; Omoze, Hillary Ongoyo; Saka, Zainab; Ojike, Favour; Adedeji, Iyanu; and Yue, Zhu
“Analyzing Learning Experience in an AI Education Program for Young Learners”
Evaluating the Learning Effects and Satisfaction of an Artificial Intelligence Education Program for Young Learners (Submitted to TechTrends in Feb. 2024).
Authors: Wonjin Yu & Wanju Huang
“The History of Low-code and No-code Approach for Computational Thinking”
Reviewed the history of the Low-code and No-code (LCNC) Approach with Computational Thinking (Submitted to TechTrends in Jan. 2023).
Author: Wonjin Yu
“The Study on an Instructional Program for A.I. Education Using a Machine Learning Platform”
Master’s thesis. Daegu National University of Education (2020).
Utilizing an A.I educational robot based on Machine Learning Platform and Instructional Program in class
“Analysis of Elementary Information Education Framework According to Digital Literacy Achievement Standards”
Wonjin Yu, Gukhwan Bae, Jaecheon Jeon, Joongmin Ahn, Donghyun Kim, Jungseo Lee, Wooyeol Kim, Inhwan Yoo., The Korean Association of Information Education Research Journal, 2019.
Prize for Outstanding Thesis “Analysis of Elementary Information Education Framework According to Digital Literacy Achievement Standards”, Journal of the Korean Association of Information Education
"Design of Artificial Intelligence Education Program based on Design-based Research"
Won Jin Yu1, Jun Hyeok Jang2, Joong Min Ahn3, Dae Ryoon Park⁴, In Hwan Yoo5, Young Kwon Bae6, Woo Yeol Kim7, International Journal of Advanced Smart Convergence, 2019.
"A Study on the Future Directions according to Analysis of Necessity of AI Education"
Inhwan Yoo․ Wooyeol Kim․ Jaecheon Jeon․ Wonjin Yu․ Youngkwon Bae, the JOURNAL OF The Korean Association of information Education, 2020
"Exploration of AI Curriculum Development for Graduate School of Education"
Youngkwon Bae․ Inhwan Yoo․ Junhyeok Jang․ Daeyu Kim․ Wonjin Yu․ Wooyeol Kim, the JOURNAL OF The Korean Association of information Education, 2020
"The Development and Operation of Software Education Camp using Artificial Intelligence"
Joongmin Ahn, Daeryun Park, Junhyeok Jang, Wonjin Yu, WooyeolKim, Youngkwon Bae, Inhwan Yoo, The Korean Association of Information Education Research Journal, 2019
The Development of Software Teaching-Learning Model based on Machine Learning Platform
Daeryoon Park, Joongmin Ahn, Junhyeok Jang, Wonjin Yu, Wooyeol Kim, Youngkwon Bae, Inhwan Yoo, the JOURNAL OF The Korean Association of information Education, 2020