Date of Award

6-19-2025

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2025

Department

Computer Science and Engineering

First Advisor

Michael Neumann

Second Advisor

Christopher Kitts

Abstract

Only 20% of students performed well enough on their secondary exams to continue their A-level studies. This challenge exists due to a lack of resources, classroom overcrowding, and absenteeism of the instructors. The project focuses on improving the pass rate for these national exams; we have built an intelligent quiz generating platform that helps Tanzanian students prepare more effectively for exams by meeting user needs including active recall, answer explanations, increasing difficulty, and filtered studying. Students can select the subject, form level, topic, and the difficulty level, and the platform provides different types of questions, including true/false, multiple choice, and free response, accordingly, along with more difficult incorrect answers. Furthermore, our platforms leverages AI to provide answer explanations to students, ensuring that students are not confused on why a specific answer is correct. Over the first 30 days after deploying, we have had 64 active users, and 1,600 page accesses.

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