136074-Thumbnail Image.png
Description
For many pre-health and graduate programs, organic chemistry is often the most difficult prerequisite course that students will take. To alleviate this difficulty, an intelligent tutoring system was developed to provide valuable feedback to practice problems within organic chemistry. This

For many pre-health and graduate programs, organic chemistry is often the most difficult prerequisite course that students will take. To alleviate this difficulty, an intelligent tutoring system was developed to provide valuable feedback to practice problems within organic chemistry. This paper focuses on the design and use of an intelligent input parser for nomenclature questions within this system. Students in Dr. Gould's Fall 2014 organic chemistry class used this system and their data was collected to analyze the effectiveness of the input parser. Overall the students' feedback was optimistic and there was a positive relationship between test scores and student use of the system.


Download restricted.
Restrictions Statement

Barrett Honors College theses and creative projects are restricted to ASU community members.

Details

Title
  • Intelligent Input Parser for Organic Chemistry Nomenclature Questions
Contributors
Date Created
2015-05
Resource Type
  • Text
  • Machine-readable links