Matching Items (3)
Filtering by
- All Subjects: Motivation
- Creators: Gould, Ian
- Member of: Theses and Dissertations
- Status: Published
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 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
Description
The goal of this investigation was to perform a correlational analysis of the intelligence mindsets, motivational background, and significance of gender identity as factors driving student success. 42 students enrolled in Computer Science and Engineering (CSE) 110: Principles of Programming with Java completed a modified Scientific Measurement Questionnaire (SMQ), a survey instrument designed to study the previously mentioned factors. This survey was modeled on a similar survey administered by Dr. Ian Gould to students enrolled in his Organic Chemistry course at Arizona State University. Following the development of a scoring system to generate quantifiable data, it was determined that students in this course displayed a greater inclination towards beliefs in malleable intelligence and in an intrinsic locus of control as opposed to a belief in static intelligence and an external locus of control. Students exhibited a multi-faceted approach in responding to the questions in the motivational background section, indicating that there were no distinctively dominating factors driving student motivation. Instead, it was observed that students generally derived motivation from these factors in a synergistic fashion. Responses to questions regarding gender indicated that while students believed that the way they were perceived by others was significantly influenced by their gender, the notion of gender identity played little to no role in their overall personal identity and self-schema. As the study was designed to offer insight into the role of gender identity and the population discrepancies within the course, it is important to note that the findings suggest gender identity is not a primary factor of concern with regard to student performance. While the data acquired suggested potential trends in student mindsets, a notable limitation of the scope of the project was the undersized sample population.
ContributorsLevinthal, Ryan (Co-author) / Santos, Cedric (Co-author) / Gould, Ian (Thesis director) / Redding, Kevin (Committee member) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Due to its difficult nature, organic chemistry is receiving much research attention across the nation to develop more efficient and effective means to teach it. As part of that, Dr. Ian Gould at ASU is developing an online organic chemistry educational website that provides help to students, adapts to their responses, and collects data about their performance. This thesis creative project addresses the design and implementation of an input parser for organic chemistry reagent questions, to appear on his website. After students used the form to submit questions throughout the Spring 2013 semester in Dr. Gould's organic chemistry class, the data gathered from their usage was analyzed, and feedback was collected. The feedback obtained from students was positive, and suggested that the input parser accomplished the educational goals that it sought to meet.
ContributorsBeerman, Eric Christopher (Author) / Gould, Ian (Thesis director) / Wilkerson, Kelly (Committee member) / Mosca, Vince (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05