Barrett

Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Motivation, Performance, and Gender in General Chemistry

Description
Understanding the relationships between chemistry students' motivation, performance, and gender can help identify and inform ways in which chemistry education might be improved. Students from four CHM 101 classes with two different instructors were surveyed using an adapted Science Motivation Questionnaire II, and motivation data was analyzed with respect to…

Understanding the relationships between chemistry students' motivation, performance, and gender can help identify and inform ways in which chemistry education might be improved. Students from four CHM 101 classes with two different instructors were surveyed using an adapted Science Motivation Questionnaire II, and motivation data was analyzed with respect to final course performance. Gender data was available for two of these classes, and motivation results analyzed by gender for these classes. Exam scores and gender data was obtained from one of the instructors for CHM 101 courses taught over the past five years and were also analyzed. The motivational study involved small sample sizes, especially in the motivation by gender study. Career motivation, grade motivation, self-efficacy, and total motivation declined over the course of the semester in the four classes combined. Self-efficacy and career motivation were found to predict final course performance only at the end of the semester. Self-efficacy strongly predicted performance, and career motivation was negatively correlated with performance. Female students had higher grade motivation at the end of the semester and lost more self-efficacy over the course of the semester than male students. Gender-performance analysis showed that male students scored slightly higher on exams on average, but that female students received a higher percentage of "A"s and a lower percentage of "D"s, "E"s, and "W"s in the majority of the semesters.
ContributorsJohnson, Walter Gregory (Author) / Gould, Ian (Thesis director) / Wolf, George (Committee member) / Austin, Ara (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Life Sciences (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2015-05
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Intelligent Input Parser for Organic Chemistry Nomenclature Questions

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 paper focuses on the design and use of an intelligent…

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.
ContributorsHusarcik, Edward Andrew (Author) / Gould, Ian (Thesis director) / VanLehn, Kurt (Committee member) / Beerman, Eric (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2015-05