Firecracker Question Design, Development, and Data (part 3)

Posted by Nate Green on Mar 17, 2017 8:02:37 PM

Following last week, this is the last part of our 3-part blog post on Firecracker question creation. It details question curation through big data.

Big Data Curation - Phase III

Every month Firecracker students answer over 8M review questions and 150,000 patient cases, forming a vast data ecosystem. Numbers like these keep our questions under constant curative pressures and student scrutiny. We use data from this student-question ecosystem to recommend daily questions, flag questions for improvement, and generate analytics, such as question item response curves. Below is an example of item response curves from two of our questions. The graphs show the probability of successfully answering the question in relationship to knowledge mastery. The question on the left is relatively easy and doesn’t effectively discriminate mastery, which means we’ll pull it from our bank to fix it. The question on the right is more dependant upon knowledge mastery; it is also more difficult.

Question Data-1.png
Next time you answer a Firecracker question, you can appreciate that you’re a part of building a world-class learning system where every detail counts. Whether part of the design, development, or data phase, each step of the process plays a vital role in Firecracker question creation.

Welcome to Firecracker

Firecracker is an adaptive learning platform that uses amazing content coupled with spaced repetition to help medical students crush their exams. We offer programs for both individual students, and entire medical schools. If you'd like to learn more contact us at chat@firecracker.me.

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