Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…

This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…

Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…

Edmentum offers a personalized learning platform called Exact Path. Over the past five years, about 56 schools and districts in Virginia have implemented the program. This quasiexperimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to investigate the efficacy of Exact Path in…

Districts must hire "highly qualified teachers" to implement "research-based best practices" using "data-driven decisions" to positively impact student achievement. The No Child Left Behind Act (NCLB) of 2001 has provided educators a whole new set of catch phrases. As states, districts, and educators work to define…