Current instructor

Jee-Seon Kim

What students say

Original student reviews · all captured dates

No unambiguous review-profile match is available.

Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Jee-Seon Kim

Applied introduction to regression techniques including nonparametric, multiple linear, and logistic regression, with all analyses conducted in R.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 3.95 GPA, 100.0% A/AB (n=10 letter grades).

historical GPA · grades

Fall 2022–Spring 2026

Introduction to hierarchical linear modeling, covering random intercept/slope models, longitudinal data, and multilevel generalized linear models.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2024: 3.90 GPA, 89.7% A/AB (n=29 letter grades); Spring 2025: 3.97 GPA, 100.0% A/AB (n=19 letter grades); Spring 2026: 3.94 GPA, 100.0% A/AB (n=16 letter grades).

historical GPA · grades

Spring 2023–Spring 2026 · limited sample

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027EDPSYCH 763Regression Models in Education
Spring 2027EDPSYCH 964Hierarchical Linear Modeling
Spring 2027EDPSYCH 990Research or Thesis
Spring 2027EDPSYCH 999Independent Reading
Fall 2026EDPSYCH 762Introduction to the Design of Educational Experiments
Fall 2026EDPSYCH 763Regression Models in Education
Fall 2026EDPSYCH 990Research or Thesis
Fall 2026EDPSYCH 999Independent Reading

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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