Hyeeun Kim(김혜은)
Email: kim5039@snu.ac.kr
Ph.D. Candidate in Educational Technology (Interdisciplinary Minor in Applied Data Science)
CV: HyeeunKim_CV
Email: kim5039@snu.ac.kr
Ph.D. Candidate in Educational Technology (Interdisciplinary Minor in Applied Data Science)
CV: HyeeunKim_CV
I am a Ph.D. Candidate in Educational Technology at Seoul National University, with an interdisciplinary minor in Applied Data Science. My research examines how learners collaborate with generative AI and how such collaboration can be supported through instructional design, multimodal data analytics, and educational data mining. I am particularly interested in preserving learner agency while designing data-informed learning environments that make students’ cognitive, metacognitive, and collaborative processes visible.
Ph.D. in Education (Educational Technology) (Interdisciplinary Minor in Applied Data Science)
Seoul National University, South Korea
March 2024 - present
Advisor: Young Hoan Cho, PhD, Professor, SNU
Minor advisory from Prof. Sang-won Lee, Graduate Schoole of Data Sciences, SNU
Dissertation: A Multidimensional Approach to Human–AI Collaboration in Education: Integrating Assessment, Behavioral Analytics, and Design Based Research(In progress, 3-chapter dissertation)
(1) Developing and validating the Human-AI Collaboration Competency Scale
(2) XAI-based Human-AI Collaboration Behavior Indicator Exploration
(3) Design-Based Research to Enhance Collaboration between Learners and AI in a Middle School Writing Classroom
M.A. in Education (Educational Technology)
Seoul National University, South Korea
March 2020 ~ Feburary 2022
Advisor: Young Hoan Cho, PhD, Professor, SNU
Dissertation: 영어 작문에서 학습자와 인공지능 번역기의 상호작용 유형 연구 [Interaction Types of Learners and AI Translators in English Writing Task]
B.A. in Education (Primary Education with Computer Education)
Gyeongin National University of Education, South Korea
March 2011 - February 2015
Elementary School Teacher, Gyeonggi Provincial Office of Education, South Korea (2015–Present)
Researcher, Learning Sciences Research Institute, Seoul National University, South Korea (2024–Present)
TIDE INSTITUTE (https://www.te.university/)
July 2023 - October 2023
Project: 학습자 중심 학습 설계 지원 플랫폼 (Learner-Centered Instructional Design Support Platform)
1급 정교사 교원자격증(2020) [Level 1Certified Professional Teacher Certificate]
Google for Education Certified Trainer(2023)
Technical Skills: Python, R, SQL/PostgreSQL, jamovi, SPSS, EEGLAB, ERPLAB, Streamlit, Docker
Research Methods: Quantitative analysis, multilevel modeling, factor analysis, structural equation modeling, log data analysis, multimodal learning analytics, EEG/ERP analysis, mixed methods research
Research Area: Data Science in Education, Educational Data Mining, Learning Analytics, Experimental Research, Scale development, etc.
Languages: Korean (Native), English (Working proficiency), Japanese (Basic)