Cloze Test Study

A research-driven project under Vanderbilt’s Language and Educational Analytics Research Lab, exploring how cloze tests (fill-in-the-blank exercises) influence reading comprehension and learning. Having always enjoyed cloze tests in English exams growing up, I jumped at the chance to lead this project when the topic came up in lab discussions. I designed and ran a study evaluating three gap-selection strategies to measure their impact on comprehension and recall.

How I contributed

Developed a full-stack web platform for administering cloze and c-tests. Frontend: built responsive test-taking interfaces in React + TypeScript, focusing on natural text flow and unobtrusive gap designs to preserve reading immersion. Backend: implemented data pipelines and REST APIs in Node.js + Express for session tracking and assignment management. Integrated Firebase Authentication and Firestore for secure data storage. Designed balanced test matrices (12 passages × 3 strategies) for fair participant distribution. Conducted Python-based statistical analyses to evaluate comprehension outcomes and visualize learning patterns.