Profile
Ph.D. in Mathematics Education
Korea National University of Education (KNUE)
August 2023 – August 2026
M.Ed. in Mathematics Education
Korea National University of Education (KNUE)
March 2020 – February 2022
Elementary School Teacher
Cheongdang Elementary School, Cheonan
March 2019 – On Leave
Osan Elementary School, Seosan
March 2015 – February 2019
Published Articles
Ahn, D., Kim, Y., Kang, D., & Lee, K. (2026).
Students’ visual attention patterns in digital mathematics learning: Effects of presentation format and learning type.
Elementary Mathematics Education, 29(1), 85–95. https://doi.org/10.7468/jksmec.2026.29.1.85 [PDF](KOR)
Ahn, D., Kim, H., & Lee, K. (2024).
Comparing cognitive processes in math problem solving between comics and text: An fNIRS and eye-tracking study.
Brain, Digital, & Learning, 14(2), 185–195. https://doi.org/10.31216/BDL.20240011 [PDF]
Ahn, D., Yang, S., & Lee, K. (2023).
Brain imaging in mathematics education: An analysis of KCI studies.
Brain, Digital, & Learning, 13(4), 503–518. https://doi.org/10.31216/BDL.20230029 [PDF]
Son, T., Koo, J., & Ahn, D. (2023).
Understanding elementary teachers’ intention to use artificial intelligence in mathematics instruction using TPACK and the technology acceptance model.
Education of Primary School Mathematics, 26(3), 163–180. https://doi.org/10.7468/jksmec.2023.26.3.163 [PDF](KOR)
Ahn, D., Son, T., & Lee, K. (2023).
ChatGPT as a scaffolding tool: Evaluating its effects on elementary students’ mathematical reasoning problem-solving abilities.
Brain, Digital, & Learning, 13(2), 183–196. https://doi.org/10.31216/BDL.20230011 [PDF](KOR)
Min, B., Ahn, D., Lee, K., & Son, T. (2022).
Exploring the possibility of measuring mathematical anxiety using fNIRS.
Brain, Digital, & Learning, 12(4), 713–727. https://doi.org/10.31216/BDL.20220044 [PDF]
Yoo, S., Ahn, D., & Lee, K. (2022).
The comparison of brain activities by academic achievement and cognitive style according to mathematical representations - fNIRS study
Brain, Digital, & Learning, 12(3), 523–540. https://doi.org/10.31216/BDL.20220032 [PDF](KOR)
Ahn, D., & Lee, K. (2022).
Analysis of achievement predictive factors and predictive AI model development – Focused on blended math classes.
The Mathematical Education, 61(2), 257–271. http://doi.org/10.7468/mathedu.2022.61.2.257 [PDF](KOR)
Ahn, D., Yoon, H., Jung, J., & Lee, K. (2021).
An analysis of the alignment between the 2015 mathematics curriculum and process-oriented assessment using language network analysis.
Brain, Digital, & Learning, 11(3), 531–545. https://doi.org/10.31216/BDL.20210034 [PDF](KOR)
Son, T., Ahn, D., Yoo, S., & Lee, K. (2021).
An analysis of research trends on domestic mathematics struggling learners using topic modeling.
Brain, Digital, & Learning, 11(1), 1–13. https://doi.org/10.31216/BDL.20210001 [PDF](KOR)