Yonsei 2026-Fall | Bokyung Lee Upcoming

CDM2008: Design Research

Design research turns questions about people, contexts, and experiences into evidence that can guide responsible design decisions. This course introduces a systematic process for framing research, selecting qualitative methods, conducting fieldwork, synthesizing findings, and communicating actionable insights.

Class time: Friday(s), time to be announced
Location: VeritasB 206 (DFK Idea shop)
Instructor: Prof. Bokyung Lee
Language: English

Weekly schedule

Nov. 27 Stage 4: Analysis

Week 13: Data Analysis #2. Quantitative Insight (T-test and ANOVA Analysis)

Opening Questions

Which statistical comparison matches our study design and data?
What is the difference between a statistically significant result and a practically meaningful one?
How can qualitative evidence help explain the numerical patterns?

Learning Goal

Choose an appropriate t-test or ANOVA for the study design, interpret descriptive and inferential results, and integrate quantitative patterns with qualitative explanations.

Lecture Materials

Add the LearnUS lecture-material link.

In-class Activity

Select an analysis based on conditions and study design
Calculate descriptive statistics and visualize distributions
Conduct basic t-tests or ANOVA
Integrate quantitative results with qualitative explanations

Assignments

🎬 FC Watch ‘Design Implications: Turning Results into Insights.’ Due: Dec. 04
✏️ Assignment Upload the provisional results, findings, and insight report for feedback before discussion writing. Due: Dec. 03

Key Takeaways

Add the key messages students should remember.

Next Week Preparation

Add anything students should prepare before the next class.