Research

My primary research goal is to investigate solutions enabled by technology that amplify the scope of teaching and learning in computing and STEM. Despite expanded learning opportunities for computing through technological advancements, educators and students are often challenged to pursue their interests and passions in computing. These challenges might indicate a need for updated and specific guiding principles for evidence-based practices, teacher professional development, and curricular resources. I believe that collaborating with teachers and developing computing curricula with technology-enhanced tools can overcome these hurdles.

Specifically, my interest areas center around:

1. Teaching computer science (CS) using accessible technology tools, especially for computational thinking (CT) and Artificial Intelligence (AI) literacy at the K-8 levels, and 

2. Broadening participation in computing and enhancing diversity, equity, and inclusion in CS education.

Published

8. Jeon, M., Kwon, K., & Bae, H. (2023). Effects of different types of graphic organizers in asynchronous online discussions. Educational Technology Research & Development, 71(2), 689-715. https://doi.org/10.1007/s11423-022-10175-z

7. Kwon, K., Jeon, M., Guo, M., Yan, G., Kim, J., Ottenbreit-Leftwich, A. T., & Brush, T. A. (2023). Computational Thinking practices: Lessons learned from a problem-based curriculum in primary education. Journal of Research on Technology in Education 55(4), 590-607. https://doi.org/10.1080/15391523.2021.2014372

6. Ottenbreit-Leftwich, A. T., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C., Scribner, A., Lee, S., Mott, B., & Lester, J. (2023). Lessons learned for AI education with elementary students and teachers [Special issue]. International Journal of Artificial Intelligence in Education, 33(2), 267–289. https://doi.org/10.1007/s40593-022-00304-3

5. Kwon, K., Jeon, M., Zhou, C., Kim, K., & Brush, T. (2022). Embodied learning for computational thinking in early primary education. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2022.2158146

4. Ottenbreit-Leftwich, A. T., Dunton, S., Fletcher, C., Childs, J., Jeon, M., Biggers, M., DeLyser, L. A., Goodhue, J., Richardson, D., Peterfreund, A., Guzdial, M., Adrion, R., Ericson, B., Fall, R., Abramenka, V. (2022). How to change a state: Broadening participation in K-12 computer science education. Policy Futures in Education. https://doi.org/10.1177/14782103221123363

3. Koressel, J., Ottenbreit-Leftwich, A. T., Jantaraweragul, K., Jeon, M., Warner, J., & Brown, M. (2022). Investigating CS teacher licensure in Indiana [Special issue]. TechTrends, 66, 412–422. https://doi.org/10.1007/s11528-022-00726-9

2. Kwon, K., Ottenbreit-Leftwich, A. T., Brush, T., Jeon, M., & Yan, G. (2021). Integration of problem-based learning in elementary computer science education: Effects on computational thinking and attitudes. Educational Technology Research & Development, 69(5), 2761–2787. https://doi.org/10.1007/s11423-021-10034-3

1. Ottenbreit-Leftwich, A. T., Kwon, K., Brush, T., Karlin, M., Jeon, M., Jantaraweragul, K., Guo, M., Nadir, H., Gok, F., & Bhattacharya, F. (2021). The impact of an issue-centered problem-based learning curriculum on 6th grade girls’ understanding of and interest in computer science. Computers & Education Open, 2, 100057. https://doi.org/10.1016/j.caeo.2021.100057

Submitted for Review

• Jeon, M., Koressel, J., Ottenbreit-Leftwich, A. T., & Jantaraweragul, K. (Under Review). Indiana high schools’ Computer Science enrollment and disparity indices: On gender, ethnicity, locale, and economic status. 

• Jeon, M., & Kwon, K. (Under Review). Parallel instructions of text-based and block-based programming: On novice programmers’ computational thinking practices. 

• Jeon, M., Jantaraweragul, K., Ottenbreit-Leftwich, A. T., Glazewski, K., Hmelo-Silver, C., Mott, B., Lester, J. (Submitted). An inquiry-based artificial intelligence curriculum for upper elementary students: A design case of PrimaryAI.

Manuscripts in Preparation

• Jeon, M., Kwon, K., Ottenbreit-Leftwich, A. T., & Glazewski, K. A project-based AI literacy program for middle school students: On conceptual understanding and productive dispositions.

• Jeon, M., Ottenbreit-Leftwich, A. T., Koressel, J., & Brown, M. Indicators contributing to Computer Science enrollments: Based on high schools in Indiana.

• Jeon, M., Kwon, K., Ottenbreit-Leftwich, A. T., & Glazewski, K. Exploring AI-infused problem-solving of middle schoolers: Using multimodal transcription.

• Kwon, K., Jeon, M., Bae, H., & Rutkowski, L. Structural equation modeling to examine the effects of metacognitive instructions for self-regulated learning.

• Kwon, K., Kim, K., Jeon, M., Zhou, C., & Brush, T. Lower elementary students’ embodied strategies for spatial reasoning and computational thinking.

30. Chakraburty, S., Jeon, M., Glazewski, K., Hmelo-Silver, C., Leftwich, A. T., Jantaraweragul, K., Scribner, A., Mott, B., & Lester, J. (2023, June 10-15). An Analysis of Teacher Practices and Student Participation in Contrasting Activity Systems in an AI Educational Program [Research Papers]. 2023 ISLS Annual Meeting, Montreal, Canada.

29. Bae, H., Kwon, K., Glazewski, K., Ottenbreit-Leftwich, A., Closser, F., Jeon, M., & Kim, K. (2023, April 13-16). Investigating the Process and Strategies for Teacher Empowerment in Virtual Co-design Sessions [Paper session]. 2023 AERA Annual Meeting, Chicago, IL.

28. Ottenbreit-Leftwich, A., Glazewski, K., Hmelo-Silver, C., Jantaraweragul, K., Chakraburty, S., Jeon, M., Scribner, A., Lee, S., Mott, B., & Lester, J. (2023, March 15-18). Is Elementary AI Education Possible? [Poster session]. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education (p. XX).

27. Jeon, M., Koressel, J., Jantaraweragul, K., & Ottenbreit-Leftwich, A. (2022, October 24-28). Indiana High School’s Computer Science Enrollment and Disparity Indices: On Gender, Ethnicity, Locale, and Economic Status [Concurrent session]. 2022 AECT Convention, Las Vegas, NV.

26. Jeon, M., Kwon, K., Ottenbreit-Leftwich, A., Glazewski, K., Closser, F., Bae, H., & Kim, K. (2022, October 24-28). Developing a Student-centered AI Literacy Curriculum for Rural Middle School Students [Poster session]. 2022 AECT Convention, Las Vegas, NV.

25. Jantaraweragul, K., Jeon, M., Lee, H., Glazewski, K., Ottenbreit-Leftwich, A., Hmelo-Silver, C., Scribner, A., Mott, B., & Lester, J. (2022, October 24-28). PrimaryAI: A Problem-Based Learning Approach to Teaching Elementary Students Artificial Intelligence and Animal Conservation [Showcase]. 2022 AECT Convention, Las Vegas, NV.

24. Kim, K., Ottenbreit-Leftwich, A., Kwon, K., Glazewski, K., Closser, F., Bae, H., & Jeon, M. (2022, October 24-28). Design Considerations of Synchronous Online AI Professional Development for Middle School Teachers [Concurrent session]. 2022 AECT Convention, Las Vegas, NV.

23. Jeon, M., Jantaraweragul, K., Glazewski, K., Ottenbreit-Leftwich, A., Chakraburty, S., Scribner, A., Hmelo-Silver, C., Mott, B., & Lester, J. (2022, September 14-16). PrimaryAI: Where life sciences, artificial intelligence, and computer science converge [ICT demonstration]. The European Association for Research on Learning and Instruction (EARLI) 2022 Joint SIG 20 and SIG 26 Conference, Utrecht, Netherlands.

22. Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C., Scribner, A., Lee, S., Mott, B., & Lester, J. (2022, July 8-13). Principles for AI Education for Elementary Grades Students [Poster]. Innovation and Technology in Computer Science Education (ITiCSE) 2022 Conference, Dublin, Ireland.

21. Glazewski, K., Ottenbreit-Leftwich, A., Jantaraweragul, K., Jeon, M., Hmelo-Silver, C., Scribner, A., Lee, S., Mott, B., & Lester, J. (2022, July 8-13). PrimaryAI: Co-Designing Immersive Problem-Based Learning for Upper Elementary Student Learning of AI Concepts and Practices [Poster]. Innovation and Technology in Computer Science Education (ITiCSE) 2022 Conference, Dublin, Ireland.

20. Koressel, J., Jeon, M., Jantaraweragul, K., & Ottenbreit-Leftwich, A. (2022, March 4). Indiana High School’s Computer Science Enrollment and Disparity Indices: On Gender, Ethnicity, Locale, and Economic Status [Paper session]. 2022 IST Conference, Online.

19. Zhou, C., Kim, K., Jeon, M., Kwon, K., & Brush, T. (2022, March 4). Developing Computational Thinking with Programming Robots Through Collaborative Embodied Learning in Elementary School Classrooms [Paper session]. 2022 IST Conference, Online.

18. Kim, K., Bae, H., Jeon, M., Closser, F., Kwon, K., Ottenbreit-Leftwich, A., & Glazewski, K. (2022, March 4). Design Considerations of Synchronous Online AI Professional Development for Middle School Teachers [Paper session]. 2022 IST Conference, Online.

17. Jeon, M. & Kwon, K. (2022, April 21-26). Parallel Instructions of Text-based and Block-based Programming: On Novice Programmers’ Computational Thinking Practices [Paper session]. 2022 AERA Annual Meeting, San Diego, CA.

16. Closser, F., Kwon, K., Ottenbreit-Leftwich, A. T., Glazewski, K., Acharya, R., Dalkilic, M., Bae, H., Jeon, M., & Kim, K. (2022, January 13). AI Goes Rural. Indiana STEM Education Conference, West Lafayette, IN.

15. Jeon, M., Kwon, K., & Bae, H. (2021, November 2-6). Effects of Graphic Organizers in Asynchronous Online Discussion [Roundtable session]. 2021 AECT Convention, Columbus, OH.

14. Phillips, T., Jeon, M., Jantaraweragul, K., & Kwon, K. (2021, November 2-6). An Exploration of the Relationship Between Social Media Usage and Undergraduate School Satisfaction [Roundtable session]. 2021 AECT Convention, Chicago, IL.

13. Kwon, K., Jeon, M., Nadir, H., Sankaranarayanan, R., Gok, S., Chavez, N., & Lee, H. (2021, November 2-6). Embodied Learning for Computational Thinking Education [Concurrent session]. 2021 AECT Convention, Chicago, IL.

12. Phillips, T., & Jeon, M. (2021, November 2-6). A Gentle Introduction to Neural Networks for Natural Language Processing with R [Workshop canceled]. 2021 AECT Convention, Chicago, IL.

11. Jantaraweragul, K., Jeon, M., Glazewski, K., Ottenbreit-Leftwich, A., Hmelo-Silver, C., Lee, S., Mott, B., & Lester, J. (2021, August 17-19). The Participatory Co-Design of a Problem-Based Learning Artificial Intelligence Elementary Curriculum [Roundtable session]. 2021 International PBL Conference, Online.

10. Jeon, M., Dunton, S., Ottenbreit-Leftwich, A., Peterfreund, A., Fletcher, C., Biggers, M., Richardson, D., Childs, J., Delyser, L. A., & Goodhue, J. (2021, July 14-16). Be An Advocate for Broadening Participation in Computing [Conference session]. 2021 CSTA Annual Conference, Online.

9. Koressel, J., Jeon, M., Ottenbreit-Leftwich, A., & Kwon, K. (2021, July 14-16). Indiana CS Story [Mini session]. 2021 CSTA Annual Conference, Online.

8. Guo, M., Ge, Y., Kim, J., Jeon, M., Kwon, K., Ottenbreit-Leftwich, A., & Brush, T. (2021, April 8-12). Coding Patterns and Techniques in Sixth Graders’ Block-based Programming Projects [Poster session]. 2021 AERA Annual Meeting, Online.

7. Jeon, M., Koressel, J., Ottenbreit-Leftwich, A., Peterfreund, A., Dunton, S., Xavier, J., Fletcher, C., Zarch, R., Biggers, M., Richardson, D., Childs, J., DeLyser, L., A., & Goodhue, J. (2021, March 13-20). Document Analysis of ECEP Longitudinal Data: A Case Study with Indiana [Poster session]. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (p. 1314). https://doi.org/10.1145/3408877.3439655

6. Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Hmelo-Silver, C., Mott, B., Lee, S., & Lester, J. (2021, March 13-20). How do Elementary Students Conceptualize Artificial Intelligence? [Poster session]. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (p. 1261). https://doi.org/10.1145/3408877.3439642

5. Jeon, M., Kwon, K., & Bae, H. (2021, March 5). Effects of Graphic Organizers in Asynchronous Online Discussions [Paper session]. 2021 IST Conference, Online.

4. Jeon, M., & Kwon, K. (2020, October 29-30). Novice Programmers’ Understanding and Implementations of CS Concepts: Focusing on the Problem Solving Represented in the Programming Environments with Different Modalities [Conference session]. 2020 AECT Convention, Online. [Video]

3. Kwon, K., Ottenbreit-Leftwich, A., Brush, T. & Jeon, M. (2020, April 17-21). Effects of Problem-Based Learning Curriculum for Computer Science Education in an Elementary School [Conference session]. 2020 AERA Annual Meeting, San Francisco, CA (Conference Canceled).

2. Kwon, K., Ottenbreit-Leftwich, A., Brush, T., Jeon, M., Zhu, M., & Gok, F. (2019, October 21-25). Exploring 6th-grade Students’ CT Concepts and Practices [Conference session]. 2019 AECT Convention, Las Vegas, NV.

1. Ottenbreit-Leftwich, A., Brush, T., Kwon, K., Karlin, M., Jeon, M., Jantaraweragul, K., Abramenka-Lachheb, V., Nadir, H., Guo, M., Zhu, M., Alghamdi, K., Yan, Y., Gates, L., Gok, F., Estell, D., Roberts, M., & Dalkilic, M. (2019, October 21-25). Inspiring the Next Generation of Learners: Using Socially Relevant Computer Science (CS) Problem-based Learning Curriculum at the 6th Grade Level [Conference session]. 2019 AECT Convention, Las Vegas, NV.

1. IST/AVC Memorial Fellowship $5,000 Indiana University, 2022

2. Jerrold E. Kemp IST Fellowship $1,500 Indiana University, 2022

3. Jerrold E. Kemp IST Fellowship $1,345 Indiana University, 2021

4. CSEdGrad Research Projects $5,000 SageFox Consulting Group LLC., 2020

5. Webb IST Fellowship $4,000 Indiana University, 2020

6. Jerrold E. Kemp IST Fellowship $2,022 Indiana University, 2020

1. Annual Women’s Research Poster Competition, First Place, $200
Center of Excellence for Women & Technology (CEWiT), Indiana University, 2022

2. Student Conference Travel Fund Award, $650
Center for Research on Learning & Technology (CRLT), Indiana University, 2022

3. L.C. and Sharon Larson Fellowship, $500
Department of Instructional Systems Technology, Indiana University, 2022

4. Graduate Student Travel Awards, $245
Graduate & Professional Student Government (GPSC), Indiana University, 2021

5. L.C. Larson Award, $525
Department of Instructional Systems Technology, Indiana University, 2019

6. L.C. and Sharon Larson Fellowship, $550
Department of Instructional Systems Technology, Indiana University, 2019

7. Fulbright Graduate Study Award, $50,490
U.S. Department of State, 2018 ¬– 2019

8. Exemplary Leadership Award Girl Scouts of Korea, 2016

9. Best Lecturer for Gifted Education Gyeonggi-do Provincial Office of Education, 2016 

10. Academic Excellence Full Scholarship Korea National University of Education, 2009 – 2013

Quantitative inquiry
Master in Applied Statistics

1. STAT-S520 Introduction to Statistics

2. STAT-S610 Introduction Statistical Computing

3. STAT-S625 Nonparametric Theory Data Analysis

4. STAT-S670 Exploratory Data Analysis 

5. STAT-S631 Applied Linear Models I

6. STAT-S632 Applied Linear Models II

7. STAT-S690 Statistical Consulting

8. EDUC-Y645 Covariance Structure Analysis

9. EDUC-Y639 Multilevel Modeling

10. EDUC-Y604 Multivariate Analysis in Education Research (Transfer)

11. EDUC-P501 Statistical Method Applied to Education (Transfer)

12. EDUC-Y502 Intermediate Statistics Applied to Education (Transfer)

13. SPH-H750 Quantitative Methods II for Public Health Research (Sit-in)

14. DataCamp's Online Data Scientist Track (16 courses): Certificates

Educational Psychology

1. EDUC-P545 Educational Motivation

2. EDUC-R546 Instructional Techniques to Facilitate Thinking, Collaboration, and Motivation

3. EDUC-R685 Learning Through Problem-solving

4. EDUC-P640 Thinking & Learning in Social Contexts

5. EDUC-P631 Cultural Psychology

6. EDUC-Y 617 Psychometric Theory