Educational Background

Ph.D. Mathematics and Education, Columbia University, New York

M.Phil. Mathematics Education, Columbia University, New York

A.B.D. Mathematics, Kyungpook National University, Republic of Korea

M.S. Mathematics, Kyungpook National University, Republic of Korea  

Current Courses

EDS 6070 Advanced Statistics for Educational Research

EDS 5070 Educational Statistics

MTH 1603 Applied Calculus and Statistics

Selected Publications

(* co-authored with doctoral students)

Peer-reviewed publications

Park, J., Czocher, J., & White, R. (under review). STEM students’ model validation across two data-rich task environments. 

Park, J. (to appear). Students’ use of digital tools and model choices in a data-rich task situation. The proceedings of the 15^th International Congress on Mathematical Education (ICME-15). Sydney, Australia.

*Elrod E. & Park, J. (2024). Examination of the Delphi Method for Establishing a Quantitative Literacy Framework in Undergraduate Mathematics Courses. Numeracy 17 (2):Article 1. http://doi.org/10.5038/1936-4660.17.2.1440

Park, J. (2023). A Case Study of Pre-service Teachers’ Task Design and Implementation for a Mathematical Modelling Lesson Sequence in Project-Based Instruction. In: Greefrath, G., Carreira, S., Stillman, G.A. (eds) Advancing and Consolidating Mathematical Modelling. International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer, Cham. http://doi.org/10.1007/978-3-031-27115-1_17

Park J. (2022). Pre-Service Teachers’ Project-Based Instruction with Mathematics Problem-Solving. Education Sciences. 12(8):526. http://doi.org/10.3390/educsci12080526

*Gibbs. A. & Park, J. (2022). Unboxing Mathematics: Creating a culture of modeling as critic. Educational Studies in Mathematics. DOI: 10.1007/s10649-021-10119-z

*Young, S.A., *Newton, A.R., Fowler, S.R., and Park, J. (2021). Critical thinking activities in Florida undergraduate Biology classes improves comprehension of climate change, Journal of Biological Education. http://doi.org/10.1080/00219266.2021.1877785

*Elrod, E., & Park, J. (2020). A Comparison of Students’ Quantitative Reasoning Skills in STEM and Non-STEM Math Pathways. Numeracy 13 (2), article 3. DOI: 10.5038/1936-4660.13.2.1309

Park, J. (2017). A Commognitive perspective on pre-service secondary teachers' content knowledge in mathematical modelling. In Stillman et al. (Eds.), International Perspectives on the Teaching and Learning of Mathematical Modelling, Springer, New York.

Refereed conference proceedings and presentations

Park, J. & White R. (2023). Integrated data-driven modeling into calculus courses. COMAP Contributed Paper Session: Integrating Modeling into Established Courses, Joint Mathematics Meetings(JMM): Boston, MA.

Park, J. (2022). Exploring undergraduate STEM students' mathematical modeling sub-competencies based on types of modeling tasks. The 20th conference of International Community of Teachers of Mathematical Modeling and Application (ICTMA-20), University of Würzburg, Germany.

Park, J. (2021). Students' conception of confidence intervals: statistical literacy reflected on the COVID-19 Vaccine media reports. The 43^rd Annual Conference of the North American Chapter of the International Group for the Psychology of Mathematics Education, PME-NA: Philadelphia, PA.

 Park, J. (2021). Pre-service mathematics teachers project- based mathematical modeling instruction: conception, task design, and enactment. The 14^th International Congress on Mathematical Education (ICME-14), Shanghai, China.

Park, J. (2018). The theory of Value-Creation meets in Mathematical Practice: the potential role of mathematical modeling project. The 1st International Conference on Ikeda Studies and Soka Education. DePaul University, Chicago, IL.

Park, J. (2018). Project-based instruction with mathematical modeling: Pre-service teachers’ view on tasks and challenges. The Annual Meeting of the American Educational Research Association (AERA), New York, NY.

Groshong, K., & Park, J. (2017). Examining secondary mathematics teachers’ mathematical modeling knowledge. In Galindo, E., & Newton, J., Proceedings of the 39th Annual Conference of the International Group for the Psychology of Mathematics Education (pp. 1507-1515). Indianapolis, IN: Hoosier Association of Mathematics Teacher Educators.

Groshong, K., & Park, J. (2016). Examining secondary mathematics teachers’ mathematical modeling knowledge. In M. B. Wood, E. E. Turner, M. Civil, & J. A. Eli Proceedings of the 38th Annual Conference of the International Group for the Psychology of Mathematics Education, (pp. 1682-1689). Tucson, AZ: The University of Arizona.

Park, J. (2015). Pre-service mathematics teachers’ knowledge of and views on mathematical modeling.The 17th conference of International Committee of Teachers of Mathematical Modeling and Applications, ICTMA-17, Nottingham, UK.

Park, J. (2015). Makiguchi’s theory of value creation and its implication for mathematics. The Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.

Park, J. (2013). Pre-service teachers’ subject matter knowledge and knowledge about students: meaning of equivalent forms in algebra. In A. Lindmeier & A. Heinze (Ed.), Proceedings of the 37th Annual Conference of the International Group for the Psychology of Mathematics Education, PME: Kiel, Germany

Dietiker, L., Figueras, H., Park, J., & Michal, T. (2009). Student Questions and the Resulting Discourse: Discursive Patterns. Symposium Presentation at the Annual Meeting of the American Educational Research Association (AERA), San Diego, CA.

Hwang, S. & Park, J. (1999). A note on Multivariate Majorization. Commun. Korean Math. Soc. 14 (3), 479-485

Recognition & Awards

The Provost Doctoral Dissertation Research Grant, Columbia University 2014

Eugene, W. Hellmich Mathematics Scholarship, Columbia University 2013

Arthur Zankel Urban Fellowhip, Columbia University, New York 2009

BK21 (Brain Korea 21) Research Fellowship Kyungpook National University 2001

Research

• Educational Data Mining
• AI literacy and Data literacy in Education 
• Applied Data Science
• Mathematics and Statistics Education
• Mathematical and Statistical modeling
• Project-Based Instruction (PBI) in STEM