Introduction
The decline in completion rates for Udacity's Introduction to Programming course from 65% to 40% this quarter is a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could explain fluctuations in completion rates. Expected answer: The decline occurred during summer months. Impact on approach: If confirmed, we'd need to consider strategies for maintaining engagement during typically slower periods.
Why it matters: Changes in the student population could affect overall completion rates. Expected answer: There's been an increase in beginners with no prior coding experience. Impact on approach: If true, we might need to adjust the course difficulty or provide additional support for newcomers.
Why it matters: Course modifications could directly impact student engagement and completion. Expected answer: A new module on advanced topics was added last month. Impact on approach: If confirmed, we'd need to evaluate the appropriateness and placement of new content.
Why it matters: Technical difficulties could frustrate students and lead to dropouts. Expected answer: Some intermittent issues with video playback were reported. Impact on approach: If true, we'd prioritize technical fixes and consider compensating affected students.
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