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CS Java Programming 1 Survey Result Analysis

Course Evaluation: CS 153 Java Programming 1

Faculty: Professor Shin Liu | Date: May 6, 2026

1. Primary Drivers of Student Engagement

Metric: “Which materials made you feel most engaged?”

Instructional Material Count %
Hands-on Programming Assignments1844%
External Self-Learning Tools (W3Schools)820%
Tutorial Videos512%
Group Study / Liquid Syllabus615%
Other (Comm/Discussion/Orientation)49%
Grand Total41100%
Key Finding: Students prioritize active application over passive consumption.

2. Connectivity & Retention Analysis

Metric: “Which activity helped you feel most connected?”

Connection Activity Count %
Group Study Activities1844%
Communication & Tutorial Videos1434%
Welcome Letter / Orientation / Other922%
Grand Total41100%
Insights: Peer Collaboration is the “human glue” of the course. Social presence is the most effective intervention for reducing withdrawal rates.

3. Student Advocacy & Climate

KPI: 92.5% Recommendation Rate (37 of 40 students)

Metric Strongly Agree Agree Disagree
Faculty Respect3361
Peer Respect3091
Overall Support29111

4. Qualitative Feedback & Summary

Students identified four core pillars of success:

Hands-On Learning Trial and error builds technical confidence.
Visual Guidance Self-paced videos make abstract concepts digestible.
Community Connection Discord reduces isolation and provides a safety net.
Clear Structure Bite-sized modules reduce administrative anxiety.
Final Takeaway: Technical mastery is driven by hands-on application, while retention is sustained by collaborative emotional engagement.