Research
Interests
My ultimate career goal is to contribute to computing education for all. And I believe in the power of Instructional Design. Therefore, I hope to design the instruction of computing education for K-12 and Higher education in the process of researching Learning Design and Technology in the future. My current research interest is Artificial Intelligence (AI) education, ranging from AI integration for effective learning to learning about AI to enhance learners' AI literacy.
Research activities
Under my advisor's guidance, I have engaged in several research activities at Purdue since Fall 2021:
NSUE-MOOC (Nurses' Substance Use Education Through an Open, Online Massive Course): I contributed to organizing a curriculum map for learning modules, entering the learning content into learning management systems (LMSs), such as Brightspace and Canvas, and developing quiz-embedded videos.
Capstone project (IRB-2021-290): I learned data screening and quantitative data analysis processes throughout the work.
C.A.R.E. (Computer science, Artificial Intelligence, Robotics, and Emerging Technologies) Project: My advisor established C.A.R.E. lab @ Purdue, and I have engaged in several C.A.R.E.-related projects. For example, I have collaborated with South Korean teachers to design and improve my learning modules on AI for teachers, and conducted pilot testing on a Virtual Reality (VR) application of teacher training.
PoRTAL (Purdue Repository for online Teaching and Learning) project: I have been working on the PoRTAL project as a research assistant since Fall 2023. The PoRTAL is a digital resource repository at Purdue University to support anyone who is interested in online teaching and learning. I contributed to creating a poster to advertise the PoRTAL and am developing additional job aids to add resources. (PoRTAL 1, and PoRTAL 2)
Ti-BOT (Technology integration and Blended and Online Teaching) project
Research skills
Research Design, Preparation, and IRB process
I completed a research methodology course in Fall 2022, and developed my understanding on research.
EDPS 53300 (Introduction to Educational Research I: Methodology)
Qualitative research
I completed a series of courses on qualitative research methods from Summer 2022 to Summer 2023 and developed qualitative research skills from basic to advanced methods (Various qualitative research designs, coding, using qualitative data analysis software, and data analysis).
EDCI 61500 (Qualitative Research Methods in Education)
EDCI 61600 (Qualitative Data Collection and Analyses in Educational Research)
EDCI 62100 (Technology for Qualitative Research)
EDCI 59100 (Data Collection and Analysis)
Quantitative research
I completed a series of courses on quantitative research methods from Summer 2022 to Summer 2023 and deepened my understanding of quantitative research skills with various quantitative research designs.
EDPS 55600 (Introduction to Quantitative Data Analysis Methods in Education I)
EDPS 55700 (Qualitative Data Analysis II)
Mixed-method research
I completed a mixed-method research design course in Summer 2022, and applied my understanding to my project.
EDCI 60700 (Mixed Methods Research Designs and Applications)
Academic Writing for Research
I completed several academic writing courses for my research from Spring 2022 to Fall 2023 to develop my academic writing skills.
EDCI 59100 (Writing Literature Reviews)
Academic Writing Practicum (Certified by Purdue Language and Cultural Exchange (PLaCE) at Purdue University)
EDCI 59100 (Writing Research Proposals)
EDCI 67800 (Unpacking Research: Writing For Scholarly Publications In Learning Design And Technology)
Meta-Analysis and Systematic Literature Review
I completed a meta-analysis course and conducting a systematic literature review and meta-analysis projects in the Spring of 2024 in the following courses:
EDPS 63200 (Meta-Analytic Procedure)
EDCI 59100 (Artificial Intelligence (AI) in Science, Technology, Engineering, and Mathematics (STEM) Education)
Research in progress
(Under review) Design and Development of an AI Education Program for Young Learners: A Case Study
Yu, W., & Huang, W. (under review). Design and development of an AI education program for young learners: A case study. Submitted to TechTrends 2024.
My advisor, Dr. Huang, and I have developed an AI education program for young learners to enhance their understanding of AI. This manuscript has two research questions:
RQ 1: What methodologies can be utilized to create an introductory AI education program, in alignment with existing literature?
RQ 2: To what extent do the learning outcomes and satisfaction of participants manifest following their participation in the AI education program?
With these RQs, we developed an AI education program for young learners and piloted it with 6th-grade students after a series of AI classes. We analyzed the survey responses and observational data from the participants in quantitative and qualitative ways. We aim to investigate whether our developed program is effective by analyzing learners' AI learning experiences. This manuscript has been submitted to TechTrends and is under review.
(Under review) Investigating the Barriers to Integrating Artificial Intelligence Education: Implications from Early Adopters in South Korea
Yu, W., & Huang, W. (under review). Investigating the barriers to integrating artificial intelligence education: Implications from early adopters in South Korea. Submitted to Education and Information Technologies 2024.
My advisor, Dr. Huang, and I have conducted qualitative research investigating teachers' barriers to integrating Artificial Intelligence (AI) in their context, specifically the context of South Korea. Since the South Korean government announced that they would start AI education at all the K-12 levels and started pilot programs with several selected core teachers and leading schools, we chose 5 AI-core teachers and tried to listen to their voices. We have conducted several semi-structured interviews from Fall 2022 and analyzed their responses with thematic analysis. This manuscript has been submitted to Education and Information Technologies and is under review.
(Under review) A Conceptual Framework for AI Literacy: Focusing on Competency in AI Education
Yu, W. (under review). A conceptual framework for AI literacy: Focusing on competency in AI education. Submitted to International Journal of Artificial Intelligence in Education 2024.
I wrote this conceptual paper as a part of an assignment in the EDCI 67400 (Advanced Instructional Design Theory) course and submitted it to the International Journal of Artificial Intelligence in Education, which is now under review progress. This manuscript analyzes the concept of artificial intelligence (AI) literacy for K-12 with the existing research articles and theoretical rationales. In advance, the preliminary findings were presented in the ICEM Annual Graduate Student Panel Discussion at the 2023 AECT International Convention (Presenter: Wonjin Yu).
(Under review) The Effects of K-12 Artificial Intelligence Education in Enhancing AI Literacy: A Meta-analysis
Yu, W., Kim, N., Chang, A., & Huang, W. (under review). The effects of K-12 artificial intelligence education in enhancing AI literacy: A meta-analysis. Submitted to Journal of Research on Technology in Education 2024
Two of my colleagues, my advisor, and I are progressing on one meta-analysis project on the topic of AI literacy in K-12. This project is part of an assignment in the EDPS 63200 (Meta-Analytic Procedure) course, and I am taking charge of a project leader role. We aimed to statistically analyze the quantitative data presented in the existing articles on AI literacy and see whether AI education has a significant effect on the learners' AI literacy.
(In-progress) Investigating the Barriers to Integrate Artificial Intelligence Education: Comparison between South Korea and the U.S. (Tentative title)
My advisor, Dr. Huang, and I conducted additional interviews with K-12 educators in Indiana, U.S., from Spring 2023 and investigated their barriers to integrating Artificial Intelligence (AI) in their classes. We are currently analyzing their voices with thematic analyses and planning to compare them with the South Korean context. This manuscript will introduce the comparison regarding barriers to integrating AI in classes between South Korea and the U.S.
(In-progress) The Competencies Involved in AI Literacy for K-12 Teachers: Systematic Literature Review (Tentative title)
Two of my colleagues, Deepti Tagare and Tirtha Karki, and I have been analyzing the existing research articles that discuss the concept of AI literacy, which is considered an outcome of AI education in K-12. We found that most of the existing research tended to focus on the learners' perspectives. In this context, we aim to investigate teachers' competencies in AI literacy using CoLEAF (Competency Learning Framework). We adopted a systematic literature review method, and it is now in progress. This manuscript work is part of an assignment in the EDCI 59100 (Artificial Intelligence (AI) in Science, Technology, Engineering, and Mathematics (STEM) Education) in Spring 2024. We are equally contributing to writing this manuscript work, from designing research and analyzing data to the writing process.
Publications (After joining Purdue)
Babalola, E., Yu, W., Omoze, H., Saka, Z., Ojike, F., Adedeji, I., & Yue, Z. (2023). Stimulating the interest of young learners in physics through storytelling and STEM activities. Purdue Journal of Service-Learning and International Engagement, 10(1), 6. https://doi.org/10.5703/1288284317690
This manuscript introduces one service-learning and engagement project, Physics is Fun Project (PFP), held by my colleagues and I with our community partner, Imagination Station at Lafayette. I took charge of 'T (Technology)' among Science, Technology, Engineering, and Mathematics (STEM), and designed the activities through the lens of algorithmic thinking and served as a volunteer facilitator to have activities with young learners in the community. Our reflection was shared at the Engagement and Service-learning Summit at Purdue 2023 (Feb, 2023).
Choi, W., Kim, N., & Yu, W. (Accepted). AI-Integrated English Language Teaching in K-12 Classrooms: Insights from South Korea. In C. Wang & Z. Tian (Eds.), Rethinking Language Education in the Age of Generative AI. Routledge.
This is a book chapter that introduces an investigation on the topic of AI-integrated English language teaching and learning in K-12 in South Korea. All the authors equally contributed to the work, so the names are in alphabetical order. We systematically reviewed peer-reviewed journal articles in South Korea that discuss the topic, coded and analyzed the articles, and derived insights and implications. This book chapter is currently accepted and now edit-in-progress by editors and will be published soon.
Publications (Before joining Purdue)
Yu, W., & Kim, W. (2021). A study on AI teaching-learning model for elementary education based on design-based research. Journal of the Korean Association of Information Education.
Bae, Y., Yoo, I., Yu, W., & Kim, W. (2021). A study on the composition of curriculum for AI education in elementary school. Journal of the Korean Association of Information Education. 25(2), 279-288. https://doi.org/10.14352/jkaie.2021.25.2.279
Bae, Y., Yoo, I., Yu, W., & Kim, W. (2021). A study on inquiry-based ICT curriculum in the IB PYP. Journal of the Korean Association of Information Education.
Yoo, I., Kim, W., Jeon, J., Yu, W., & Bae, Y. (2020). A study on the future directions according to analysis of necessity of AI education. Journal of the Korean Association of Information Education. 24(5), 423-431. https://doi.org/10.14352/jkaie.2020.24.5.423
Bae, Y., Yoo, I., Jang, J., Kim, D., Yu, W., & Kim, W. (2020). Exploration of AI curriculum development for graduate school of education. Journal of the Korean Association of Information Education. 24(5). 433-441. https://koreascience.kr/article/JAKO202009651163327.page
Yoo, I., Kim, W., Jeon, J., Yu, W., & Bae, Y. (2020). A study on the necessity of AI education. The Korean Association of Information Education Research Journal.
Bae, Y., Yoo, I., Jang, J., Kim, D., Yu, W., & Kim, W. (2020). An analysis on AI education curriculum of the graduate school of education. The Korean Association of Information Education Research Journal.
Park, D., Ahn, J., Jang, J., Yu, W., Kim, W., Bae, Y., & Yoo, I. (2020). The development of software teaching-learning model based on machine learning platform. Journal of the Korean Association of Information Education. 24(1), 49-57. https://doi.org/10.14352/jkaie.2020.24.1.49
Bae, G., Jeon, J., Yu, W., Ahn, J., Kim, D., Lee, J., Kim, W., & Yoo, I. (2019). Analysis of elementary information education framework according to digital literacy achievement standards. The Korean Association of Information Education Research Journal.
Yu, W., Jang, J., Ahn, J., Park, D., Yoo, I., Bae, Y., & Kim, W. (2019). Design of Artificial Intelligence Education Program Based on Design-Based Research. International Journal of Advanced Smart Convergence. 8(4), 113-120. https://doi.org/10.7236/IJASC.2019.8.4.113
Yu, W., & Kim, W. (2019). Analysis of elementary case on the creative robot educational program based on DBR. The Korean Association of Information Education Research Journal.
Yu, W., Bae, G., Jeon, J., Ahn, J., Kim, D., Lee, J., Kim, W., & Yoo, I. (2019). Analysis of Elementary Information Education Framework According to Digital Literacy Achievement Standards, The Korean Association of Information Education Research Journal.
Ahn, J., Park, D., Jang, J., Yu, W., Kim, W., Bae, Y., & Yoo, I. (2019). The Development and Operation of Software Education Camp Using Artificial Intelligence, The Korean Association of Information Education Research Journal.
Literature Review
I completed several academic writing courses for my research from Spring 2022 to Fall 2023 to develop my academic writing skills.
EDCI 59100 (Writing Literature Reviews)
Academic Writing Practicum (Certified by Purdue Language and Cultural Exchange (PLaCE) at Purdue University)
EDCI 59100 (Writing Research Proposals)
EDCI 67800 (Unpacking Research: Writing For Scholarly Publications In Learning Design And Technology)
Exploring the Possibility of Virtual Reality in Elementary Education: Literature Review
I wrote this literature review as a part of an assignment in the EDCI 51300 course (Introduction to Learning Design and Technology) in Fall 2021.
Exploring the Barriers to Introducing Artificial Intelligence Education for K-12 Teachers: A Literature Review
I wrote this literature review as a part of an assignment in the EDCI 59100 course (Writing Literature Reviews) in Spring 2022.
The History of Low-code and No-code Approach for Computational Thinking
I wrote this literature review as a part of an assignment in the EDCI 62700 course (LDT Readings) in Fall 2022.
Research study proposal
I completed a writing research study proposal course in Fall 2022.
EDCI 59100 (Writing Research Proposals)
An investigation of barriers for elementary school teachers in South Korea introducing Artificial Intelligence (AI) education
I wrote this research study proposal as a part of an assignment in the EDCI 59100 course (Writing Research Proposals) in Spring 2022.
Qualitative data analysis experience
I completed a series of courses on qualitative research methods from Summer 2022 to Summer 2023 and developed qualitative research skills from basic to advanced methods (Various qualitative research designs, coding, using qualitative data analysis software, and data analysis).
EDCI 61500 (Qualitative Research Methods in Education)
EDCI 61600 (Qualitative Data Collection and Analyses in Educational Research)
EDCI 62100 (Technology for Qualitative Research)
EDCI 59100 (Data Collection and Analysis)
Thematic Analysis
I practiced a thematic analysis method with my advisor in the course of EDCI 59100 (Data Collection and Analysis) in Fall 2022, and wrote it in one manuscript that my advisor and I have worked on.
Evidence (the qualitative data) is not appropriate for upload to protect the participants' identifiable descriptions. However, I am willing to share it upon reasonable request.
Traditional Methods of Qualitative Analysis
I analyzed qualitative data using traditional qualitative methods as a part of an assignment in the EDCI 61600 course (Qualitative Data Collection and Analysis in Educational Research) in Spring 2023.
Narrative Analysis
I analyzed qualitative data using narrative analysis as a part of an assignment in the EDCI 61600 course (Qualitative Data Collection and Analysis in Educational Research) in Spring 2023.
Affective, Comtemplative Arts-Based Modes of Analysis
I analyzed qualitative data using an affective & comtemplative arts-based modes of analysis as a part of an assignment in the EDCI 61600 course (Qualitative Data Collection and Analysis in Educational Research) in Spring 2023.
Quantitative data analysis experience
I completed a series of courses on quantitative research methods from Summer 2022 to Summer 2023 and deepened my understanding of quantitative research skills with various quantitative research designs.
EDPS 55600 (Introduction to Quantitative Data Analysis Methods in Education I)
EDPS 55700 (Qualitative Data Analysis II)
Basic quantitative data analysis - Descriptive analysis & Paired samples t-test
I analyzed quantitative data using a descriptive analysis and paired samples t-test as a part of an assignment in the EDPS 55600 course (Introduction to Quantitative Data Analysis Methods in Education I) in Summer 2022.
Advanced quantitative data analysis - Simple linear regression
I analyzed quantitative data using a simple linear regression as a part of an assignment in the EDPS 55700 course (Qualitative Data Analysis II) in Summer 2023.
Attend and present at a student conference
AGSERS presentation in the roundtable session (Apr, 2022)
Yu, W. (2022, March 24). A Design Case of Artificial Intelligence (AI) Education for AI literacy [Conference presentation]. Annual Graduate Student Educational Research Symposium, Purdue University, West Lafayette, IN, United States.
2022 Annual Graduate Student Education Research Symposium (AGSERS) at Purdue University
Topic: A Design case of Artificial Intelligence (AI) Education for AI literacyÂ
Presenter: Wonjin Yu
Attend and present at national or international conference
2022 AECT International Convention (Oct, 2022)
Presentation titles:
Increasing AI Literacy with a Learning Module Using Machine Learning Platforms
Presenters: Wonjin Yu & Wanju Huang
Huang, W., & Yu, W. (2022, October 24-28). Increasing AI literacy with a learning module using machine learning platform [Conference presentation]. AECT 2022 Convention, Las Vegas, NV, United States. https://convention.aect.org/
Iterative Leadership Training Program (Finalists presentation in the AECT Design and Development Competition)
Presenters: Samet BAYDAR & Wonjin Yu
BAYDAR, S., & Yu, W. (2022, October 26). Iterative leadership training program [Conference presentation]. AECT 2022 Convention, Las Vegas, NV, United States. https://convention.aect.org/
Engagement & Service-Learning Summit 2023 (Feb, 2023)
Babalola, E., Yu, W., Saka, Z., Kjike, F., Yue, Z., Omoze, H., & Janakiraman, S. (2023, March 3). Stimulating the interest of young learners in physics through storytelling and STEM activities [Conference presentation]. Engagement & Service-Learning Summit 2023, West Lafayette, IN, United States. https://www.purdue.edu/engagement/showcase-2023-presentations/
Title: Stimulating the Interest of Young Learners in Physics Through Storytelling and STEM Activities
Co-author and co-presenter (Emmanuel Babalola, Wonjin Yu, Zainab Saka, Favor Kjike, Zhu Yue, Hillary Omoze, Shamila Janakiraman)
Project Phisics is Fun (PFP), collaboration with community partner, Imanination station in Lafayette
2023 AERA Annual Meeting (Apr, 2023)
Yu, W. (2023, April 13-16). Investigating the barriers to introducing Artificial Intelligence (AI) education for elementary school teachers in South Korea [Conference presentation]. 2023 AERA Annual Meeting, Chicago, IL, United States. https://www.aera.net/Events-Meetings
Research-in-progress Roundtable Session
Title: Investigating the barriers to introducing Artificial Intelligence (AI) education for elementary school teachers in South Korea
Presenter: Wonjin Yu
PowerFriday Presentation (Sep, 2023)
Title: Meet Them Where They Are: Addressing AI Integration Barriers Through K-12 Educators' Perspectives
Presenter: Wonjin Yu
2023 AECT Annual Convention (Oct, 2023)
Presentation Titles:
In Concurrent Session: AI Education Integration in South Korea from Early Adopters’ Perspectives: A Case Study
Presenters: Wanju Huang & Wonjin Yu
Huang, W., & Yu, W. (2023, October 15-19). AI education integration in South Korea from early adopter’s perspectives: A case study [Conference presentation]. AECT 2023 Convention, Orlando, FL, United States. https://convention.aect.org/
Panel Discussion: AI & GenAI in Teaching and Learning - How researchers can support K-12 educators in integrating Artificial Intelligence (AI) education in the new era of generative AI
Presenter: Wonjin Yu
Yu, W. (2023, October 15-19). How researchers can support K-12 educators in integrating Artificial Intelligence (AI) education in the new era of generative AI [Conference presentation]. AECT 2023 Convention, Orlando, FL, United States. https://convention.aect.org/
Showcase Session: A successful Day-1 with a VR Classroom Management Application
Presenters: Wanju Huang, William Watson, & Wonjin Yu
Huang, W., Watson, W. R., & Yu, W. (2023, October 15-19). A successful day-1 with a VR classroom management application [Conference presentation]. AECT 2023 Convention, Orlando, FL, United States. https://convention.aect.org/
AI Education & ChatGPT in Teaching and Learning Webinar (Nov, 2023)
Huang, W. & Yu, W. (2023, November 10). The collaboration between AI and educators [Webinar presentation]. IACTE webinar. https://www.inaacte.org/
Title: The Collaboration between AI and Educators
Hosted by the Indiana Teacher Ed organization (IACTE)
Presenters: Wanju Huang & Wonjin Yu
Trustworthy AI Lab for Education Summit (Dec, 2023)
Presentation Titles:
Artificial Intelligence (AI) & Education – Voices from K-12 Educators in South Korea and the United States
Presenters: Wanju Huang & Wonjin Yu
Huang, W., & Yu, W. (2023, December 1). Artificial Intelligence (AI) and education – voices from K-12 educators in South Korea and the United States [Conference presentation]. Trustworthy AI Lab for Education Summit, Notre Dame, IN, United States. https://lucyinstitute.nd.edu/trustworthy-ai-lab-for-education-summit/
Title: C.A.R.E. Lab (Computer Science, Artificial Intelligence, Robotics, and Emerging Technologies) @ Purdue
Presenters: Wonjin Yu, Seoljoo Kang, & Wanju Huang
Yu, W., Kang, S., & Huang, W. (2023, December 1). C.A.R.E (computer science, artificial intelligence, robotics, and emerging technologies) @ Purdue [Conference presentation]. Trustworthy AI Lab for Education Summit, Notre Dame, IN, United States. https://lucyinstitute.nd.edu/trustworthy-ai-lab-for-education-summit/
Engagement and Service-Learning Summit at Purdue University (Feb, 2024)
Kang, S., & Yu, W. (2024, February 29). Reflection on the growth of graduate students: From engagement & service-learning experiences [Conference presentation]. Engagement and Service-Learning Summit at Purdue, West Lafayette, IN, United States. https://www.purdue.edu/engagement/summit/
Presentation Title: Reflection on the Growth of Graduate Students: From Engagement & Service-Learning Experiences
Presenters: Seoljoo Kang & Wonjin Yu
2024 AERA Annual Meeting (Apr, 2024)
Presentation Titles:
AI is no more a magic box: A case study of an AI educational program
Presenter: Wonjin Yu & Wanju Huang
Yu, W., & Huang, W. (2024, April 11). AI is no more a magic box: A case study of an AI educational program [Conference presentation]. 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, United States. https://www.aera.net/
AI-Integrated English Language Teaching in Korean K-12 Classrooms: A Systematic Literature Review
Presenters: Nari Kim, Wonjin Yu, & Woongsik Choi
Kim, N., Yu, W., & Choi, W. (2024, April 14). AI-Integrated English language teaching in Korean K-12 classrooms: A systematic literature review [Conference presentation]. 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, United States. https://www.aera.net/
Top-Down vs. Grassroot: A Comparative Study on AI Integration Barriers in K-12 in South Korea and the United States
Presenters: Wanju Huang & Wonjin Yu
Huang, W., & Yu, W. (2024, April 14). Top-down vs. Grassroot: A comparative study on AI integration barriers in K-12 in South Korea and the United States [Conference presentation]. 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, United States. https://www.aera.net/
2024 CSTA Annual Conference (July, 2023)
Presentation Titles:
Support AI-Integrated Teaching and Learning: Lessons from South Korea
Presenters: Wonjin Yu & Seoljoo Kang
Yu, W., & Kang, S. (2024, July 18). Support AI-integrated teaching and learning: Lessons from South Korea [Conference presentation]. 2024 Computer Science Teachers Association (CSTA) Annual Conference, Las Vegas, NV, United States. https://conference.csteachers.org/
Title: Successful CS Integration with Project-Based Learning: A South Korean Case Study
Presenters: Seoljoo Kang & Wonjin Yu
Kang, S., & Yu, W. (2024, July 18). Successful CS integration with project-based learning: A South Korean case study [Conference presentation]. 2024 Computer Science Teachers Association (CSTA) Annual Conference, Las Vegas, NV, United States. https://conference.csteachers.org/
LDT-related manuscript reviewed by peers, approved by faculty advisor, and submitted for publication to peer reviewed publication (1st author)
(Under review) Analyzing learning experience in an AI education program for young learners
Yu, W., & Huang, W. (under review). Analyzing learning experience in an AI education program for young learners. Submitted to Techtrends 2024.
My advisor, Dr. Huang, and I have developed an AI education program for young learners to enhance their understanding of AI. This manuscript has two research questions:
RQ 1: How did learners react to the learning content?
RQ 2: What was the teacher’s observation of the learners’ engagement?
With these RQs, we analyzed the survey responses and observational data from 6th-grade students after a series of AI classes both in quantitative and qualitative ways. We aimed to investigate whether our developed program was effective by analyzing learners' AI learning expereinces. This manuscript is currently submitted to TechTrends and is under review.
Peer review of a manuscript or presentation proposal
2023-2024 CSTA Annual Conference Proposal Reviewer
2023-2024 ETR&D Manuscript Reviewer
2023-2024 AECT Convention Proposal Reviewer
2024-2025 AERA Reviewer Volunteer
Contribute to writing an IRB protocol
Investigating Barriers to Implementing Artificial Intelligence in K-12 (IRB-2022-1376)
I learned the context of IRB protocol while my advisor worked on an IRB protocol for our research, and went through and double-chekced the overall content and interview questionnares before getting approved.
Grant writing experience
Applied for and Awarded Service Learning Grant (Feb, 2023)
Dr. Wanju Huang, and Wonjin Yu (Awarded $1,500)
Service learning grant for Community Service / Service Learning Project
CARE Project (Chips, Artificial-Intelligence, Robots for Education).
Spencer Foundation Grant Proposal Writing Practice
I wrote this Spencer Foundation Grant proposal as a part of an assignment in the EDCI 59100 (Writing Research Proposals) course in Fall 2022.
Mixed methods study design experience
I completed a mixed-method research course in Summer 2022.
EDCI 60700 (Mixed Methods Research Designs and Applications)
A Mixed Methods Approach to Developing and Analyzing Artificial Intelligence Education Program
I wrote this mixed-method research design proposal as a part of an assignment in the EDCI 60700 course (Mixed Methods Research Designs and Applications) in Summer 2022.
Graduate certificates
Academic Writing Practicum
Certified by Purdue Language and Cultural Exchange (PLaCE) at Purdue University (Summer, 2022)
Entry-Level Programming in Python Certificate
Certified by College of Engineering at Purdue University (Spring, 2022)
CITI Program Certificates
(Completed date: 10/18/2021)
The certificates of the trusted standard in research, ethics, and compliance training