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.


Learning Design and Technology · Computer Science Education · Computing education for all · Computational Thinking · Education with Technology · Digital Literacy · Artificial Intelligence Education · Diversity and Equity

Research activities

Under my advisor's guidance, I have engaged in several research activities at Purdue since Fall 2021:

Research skills

Research Design, Preparation, and IRB process

I completed a research methodology course in Fall 2022, and developed my understanding on research.

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).

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.

Mixed-method research

I completed a mixed-method research design course in Summer 2022, and applied my understanding to my project.

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.

Meta-Analysis and Systematic Literature Review

I am taking a meta-analysis course and conducting a systematic literature review and meta-analysis projects in the Spring of 2024 in the following courses:

Research in progress

(Under review) Analyzing learning experience in an AI education program for young learners

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 aim to investigate whether our developed program is effective by analyzing learners' AI learning experiences. This manuscript is currently submitted to TechTrends and is under review.

(In-progress) Investigating the Barriers to Integrate Artificial Intelligence Education: Implications from Early Adopters in South Korea

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 is currently in revision and will be ready to submit soon.

(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.

(Under review) A Conceptual Framework for AI Literacy: Focusing on Competency in AI Education

I wrote this conceptual paper as a part of an assignment in the EDCI 67400 (Advanced Instructional Design Theory) course and submitted it to TechTrends, 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).

(In-progress) The Competencies Involved in AI Literacy for K-12 Teachers: Systematic Literature Review (Tentative title)

Two of my colleagues and I are 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.

(In-progress) The effect of AI literacy in K-12: A Meta-analyses on the Effects of AI education (Tentative title)

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 aim 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. We are now in the article selection and screening process and aim to publish our findings after the course.

Publications (After joining Purdue)

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).

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)

Literature Review

I completed several academic writing courses for my research from Spring 2022 to Fall 2023 to develop my academic writing skills.

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.

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).

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.

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)

Presenter: Wonjin Yu

Attend and present at least one national or international conference

2022 AECT International Convention (Oct, 2022)

Presenters: Wonjin Yu & Wanju Huang


Presenters: Samet BAYDAR & Wonjin Yu

Engagement & Service-Learning Summit 2023 (Feb, 2023)

2023 AERA Annual Meeting (Apr, 2023)

Presenter: Wonjin Yu

PowerFriday Presentation (Sep, 2023)

Presenter: Wonjin Yu

2023 AECT Annual Convention (Oct, 2023)

Presenters: Wanju Huang & Wonjin Yu


Presenter: Wonjin Yu


Presenters: Wanju Huang, William Watson, & Wonjin Yu


AI Education & ChatGPT in Teaching and Learning Webinar (Nov, 2023)

Presenters: Wanju Huang & Wonjin Yu

Trustworthy AI Lab for Education Summit (Dec, 2023)

Presenters: Wanju Huang & Wonjin Yu


Presenters: Wonjin Yu, Seoljoo Kang, & Wanju Huang

Engagement and Service-Learning Summit at Purdue University (Feb, 2024)

Presenters: Seoljoo Kang & Wonjin Yu

2024 AERA Annual Meeting (Apr, 2024)

Presenter: Wonjin Yu & Wanju Huang


Presenters: Nari Kim, Wonjin Yu, & Woongsik Choi


Presenters: Wanju Huang & Wonjin Yu

2024 CSTA Annual Conference (July, 2023)

Presenters: Wonjin Yu & Seoljoo Kang


Presenters: Seoljoo Kang & Wonjin Yu

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

Peer review of a manuscript or presentation proposal

2023-2024 CSTA Annual Conference Proposal Reviewer

2023-2024 ETR&D Manuscript Reviewer

2023 AECT Convention Proposal Reviewer

2024 AERA Reviewer Volunteer

Contribute to writing an IRB protocol

Investigating Barriers to Implementing Artificial Intelligence in K-12 (IRB-2022-1376)

Grant writing experience

Applied for and Awarded Service Learning Grant (Feb, 2023)

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.

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

Entry-Level Programming in Python Certificate

CITI Program Certificates

(Completed date: 10/18/2021)