Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning
Ying Fang, Bo He, Zhi Liu, Sannyuya Liu, Zhonghua Yan, Jianwen Sun
TL;DR
This paper evaluates Xiaomai, an intelligent tutoring system for advanced mathematics, focusing on its unique features like automatic feedback on free-response questions and metacognitive reflection to enhance learning outcomes.
Contribution
It introduces and assesses novel features in an ITS, specifically free-response questions with automatic feedback and error reflection, for improved math learning.
Findings
Effective in providing automatic feedback on free-response questions
Encourages metacognitive reflection on errors
Potential to improve learning outcomes in advanced mathematics
Abstract
Xiaomai is an intelligent tutoring system (ITS) designed to help Chinese college students in learning advanced mathematics and preparing for the graduate school math entrance exam. This study investigates two distinctive features within Xiaomai: the incorporation of free-response questions with automatic feedback and the metacognitive element of reflecting on self-made errors.
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