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Automated Error Analysis through Parsing Mathematical Expressions in Adaptive Online Learning PROCEEDINGS

, , , University of Utah, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

A novel mathematical expression parser is presented as the core of a free, unlimited-use online adaptive learning system for improving student college readiness. In addition to standard expression matching, the parser is capable of comparing the student's response with a reference string (the correct answer) provided by instructors. It evaluates whether they are mathematically equivalent using a fast numerical approach rather than a complicated symbolic computer algebra logic, and classifies expression elements to correct, wrong, unrecognized, missing and redundant. The accuracy of our parsing algorithm has been demonstrated on real-world examples from an introductory college calculus course.

Citation

Livne, N., Livne, O. & Wight, C. (2006). Automated Error Analysis through Parsing Mathematical Expressions in Adaptive Online Learning. In T. Reeves & S. Yamashita (Eds.), Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1321-1325). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved November 13, 2018 from .

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