Date of Award
6-11-2020
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2020.
Department
Computer Science and Engineering
First Advisor
Ahmed Amer
Abstract
Standardized testing, while efficient for testing a large amount of people, is not an effective or holistic method of evaluating test takers. They fail to take into consideration factors such as stress, which can inhibit a student’s ability to perform well on a test. Our goal is to create a framework for creating tests that are dynamic, adaptive assessments, minimize stress levels, and overall improve student performance. This solution will produce in tests that even out the academic playing field while being more informative in their assessments.
Recommended Citation
Cisneros-Munoz, Andres and Sanchez, Cole, "Smart Quizzes" (2020). Computer Science and Engineering Senior Theses. 180.
https://scholarcommons.scu.edu/cseng_senior/180