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:
Teaching computer science (CS) using accessible technology tools, especially for computational thinking (CT) and Artificial Intelligence (AI) literacy at the K-8 levels, and
Broadening participation in computing and enhancing diversity, equity, and inclusion in CS education.
Research Projects
CSforTED
2023 – Present
Project description: Identified factors in building capacity for computer science teacher pathways; Analyzed computing education curricula across teacher preparation programs
Collaborators: Drs. Liao, Karlin, Margulieux, Calandra (GSU), Zhu (Wayne State)
GenAI for Ed
2023 – Present
Project description: Developed generative AI-embedded educational chatbots employing multi-modal large language models and GPT-Vision for art appreciation education; Developing more generative AI tools for math problem-solving and fashion model training
Collaborators: Unggi Lee, Dr. Moon
AI Goes Rural
2021 – 2023
Project description: Incorporating Artificial Intelligence into the rural middle school curriculum
Funded by the Department of Defense STEM Program ($ 1,399,000)
PIs: Drs. Kwon, Leftwich, & Glazewski
Led the design of instruction to help students learn about AI concepts in middle school classrooms
Developed assessment instruments for both cognitive and affective learning outcomes
Video analysis of students’ inquiry process for AI-infused problem solving
PrimaryAI
2020 – 2023
Project description: Integrating Artificial Intelligence into upper elementary science with immersive problem-based learning
NSF#1934128 ($ 670,000)
PIs: Drs. Glazewski, Leftwich, Hmelo-Silver, Lester, & Mott
Developed scenarios for an AI-infused, problem-based learning game in elementary life science contexts
Assisted in the development of lesson plans and assessment
Participated in the writing of research articles about how teachers and students perceive AI
ECEP & CSforIN
2020 –
Project description: Broadening participation in computing for K-12; Expanding Computing Education Pathways 2.0 & CS for Indiana
NSF#1822011 ($ 3,273,470)
PI: Drs. Fletcher, Richardson, Leftwich et al.
Document analysis of the ECEP’s longitudinal data to create a database of CS education across states
Content analysis of in-depth interviews with state leaders
Exploratory data analysis for the computer science enrollment data in Indiana
Embodied Learning for Computational Thinking
2020 – 2023
PI: Drs. Kwon, & Brush
Developed an embodied learning module for enhancing computational thinking for 1st and 2nd graders
Developed instruments to measure spatial reasoning, computational thinking, and attitudes
Conducted multilevel analysis, surveys, interviews, and video analysis
Google Computer Science Education Research Group
2018 – 2020
Project description: A problem-based learning integrated CS curriculum for upper elementary students
Funded by Google Inc. ($ 101,065)
PI: Drs. Leftwich, Kwon, & Brush
Co-developed instructional materials for inquiry-based CS curriculum for 5th and 6th graders
Developed assessment tools for measuring understanding of computational thinking concepts
Developed a rubric to assess computational thinking practice and evaluate student-authored programs
CSCL Group
2018 – 2020
Computer-Supported Collaborative Learning Research Group
PI: Dr. Kwon
Built case-based learning modules with graphic organizers for online discussions
Conducted quantified content analysis, surveys, and interviews
Library Collection
2018–2019
Department of East Asian Studies, Wells Library, Indiana University
Supervisor: Dr. Wen-ling Liu
Recommended books for the library’s collection for East Asian Studies
Identified available resources from books and journal databases to support scholarship
Evaluating ODA Education Programs
2017–2018
Project description: Evaluating educational official development assistance programs of Korea for southeast Asian countries
Strategic development of ASEAN+3 Center for the Gifted in Science
PI: Dr. Suyoung Lee at Seoul National University of Education
Funded by the Korea Foundation for the Advancement of Science & Creativity
Developed strategies for ASEAN+3 Center for the Gifted in Science
Evaluated educational official development assistance programs for southeast Asian countries
Publications
Journal Articles
Published
13. Jeon, M., Jantaraweragul, K., Ottenbreit-Leftwich, A. T., Hmelo-Silver, C., Glazewski, K., Mott, B., Lester, J. & Ringstaff, C. (2024). An inquiry-based artificial intelligence curriculum for upper elementary students: A design case of PrimaryAI. International Journal of Designs for Learning, 15(3), 1-15. https://doi.org/10.14434/ijdl.v15i3.36757
12. Jeon, M., Koressel, J., Ottenbreit-Leftwich, A. T., Childs, J., & Jantaraweragul, K. (2024). Indiana high schools’ Computer Science enrollment and disparity indices: On gender, ethnicity, locale, and economic status. Computers in the Schools. https://doi.org/10.1080/07380569.2024.2413716
11. Lee, U., Jeon, M., Lee, Y., Byun, G., Son, Y., Shin, J., Ko, H., & Kim, H. (2024). LLaVA-Docent: Instruction tuning with multimodal large language model to support art appreciation education. Computer & Education: Artificial Intelligence, 7, 100297. https://doi.org/10.1016/j.caeai.2024.100297
10. Menon, D., Johnson, A. M., Cox, D., Nguyen, U., Jeon, M., & Thomas, A. (2024). STEM-themed pathways within elementary preservice methods coursework: Designing and implementing integrated STEM projects. School Science and Mathematics.
9. Jeon, M., & Kwon, K. (2024). Parallel instruction of text-based and block-based programming: On novice programmers’ computational thinking practices. TechTrends, 68, 1033–1050. https://doi.org/10.1007/s11528-024-00993-8
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, 56(4), 410–430. 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
Kwon, K., Kim, K., Zhou, C., & Jeon, M. (Under Review). Embodied learning experiences of early elementary students in computational thinking education. Technology, Knowledge and Learning.
Jeon, M., Chu, L., Koressel, J., Kim, S., & Ottenbreit-Leftwich, A. T. (Under Review). Barriers of planning and implementing K-8 Computer Science education: Concentrating at the school and district level.
Jeon, M., Kwon, K., Ottenbreit-Leftwich, A. T., & Glazewski, K. (Under Review). A project-based AI literacy program for middle school students: On conceptual understanding and productive dispositions.
Manuscripts in Preparation
Jeon, M., Brown, M., Kwon, K., Ottenbreit-Leftwich, A. T., & Glazewski, K. Exploring AI-infused problem-solving of middle schoolers: Using multimodal transcription.
Liao, Y., Karlin, M., Jeon, M., Zhu, M., Margulieux, L., & Calandra, B. Building capacity for K-12 Computer Science Education: Understanding the factors influencing the development of teacher preparation pathways.
Jeon, M., Zhu, M., Liao, Y., Karlin, M., Margulieux, L., & Calandra, B. Examining CS concepts and instructional strategies in teacher preparation programs.
Conference Presentations
33. Olmanson, J., Trainin, G., Jeon, M., & Husbey, N. (2024, June 4). Intelligent learning technology design in an era of exquisite scaffolding. Norwegian Artificial Intelligence Research Consortium, Kristiansand, Norway.
32. Nguyen, U., Menon, D., Jeon, M., & Thomas, A. (2024, June 23-27). Purposefully designing integrated STEM learning experiences within elementary teacher education [Work in progress]. 2024 ASEE [American Society of Engineering Education] Annual Conference & Exposition, Portland, OR. https://peer.asee.org/46731
31. Thomas, A., Jeon, M., Johnson, K., Menon, D., & Nguyen, U. (2024, April 10-13). Highlighting mathematics in a STEAM context with codable robotics. 2024 NCTM [National Council of Teachers of Mathematics] Virtual Conference, Online.
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 paper]. 2023 ISLS [International Society of the Learning Sciences] Annual Meeting, Montreal, Canada. https://doi.org/10.22318/icls2023.398812
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]. SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 1364. https://doi.org/10.1145/3545947.3576308
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]. 2022 EARLI [European Association for Research on Learning and Instruction] 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]. 2022 ITiCSE 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]. 2022 ITiCSE [Innovation and Technology in Computer Science Education] 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]. Proceedings of the PBL 2021 International Conference, Online. https://par.nsf.gov/biblio/10291827
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 [Computer Science Teachers Association] 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]. SIGCSE 2021: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 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]. SIGCSE [Special Interest Group Computer Science Education] 2021: Proceedings of the 52nd ACM [Association for Computing Machinery] Technical Symposium on Computer Science Education, 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 [Instructional Systems Technology] 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 [American Educational Research Association] 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 [Association for Educational Communications and Technology] Convention, Las Vegas, NV.
Awards & Honors
Annual Women’s Research Poster Competition, First Place | Indiana University, 2022
CSEdGrad Research Project Fellowship, $5,000 | SageFox Consulting Group LLC., 2020
Fulbright Graduate Study Award, $50,490 | U.S. Department of State, 2018 – 2019
Exemplary Leadership Award | Girl Scouts of Korea, 2016
Best Lecturer for Gifted Education | Gyeonggi-do Provincial Office of Education, 2016
Academic Excellence Full Scholarship | Korea National University of Education, 2009 – 2013