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- Creators: School of International Letters and Cultures
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
GENDER DIVERSITY IN STEM: Investigation into Gender Implication in Pursuing Computing-related Majors
The results suggest no indication that female students are necessarily less interested than male students in studying computing-related majors, despite that female students find working with computers and coding more difficult. Female students have diverse and varied interests that are non-computing-related, which could be an underlying factor that contributes to their “lower” participation in those majors. While self-interest is the key factor that influences students’ decisions in pursuing STEM majors or non-STEM majors, they also consider job market outlook an important factor. Compared to female students, male students tend to cite family influence in deciding whether to study STEM majors. Furthermore, showing positive attitudes toward working with computers, learning new computer skills, and even coding indicates both male and female students’ potential desires to pursue computing-related majors or careers.
American Sign Language (ASL) is used for Deaf and Hard of Hearing (DHH) individuals to communicate and learn in a classroom setting. In ASL, fingerspelling and gestures are two primary components used for communication. Fingerspelling is commonly used for words that do not have a specifically designated sign or gesture. In technical contexts, such as Computer Science curriculum, there are many technical terms that fall under this category. Most of its jargon does not have standardized ASL gestures; therefore, students, educators, and interpreters alike have been reliant on fingerspelling, which poses challenges for all parties. This study investigates the efficacy of both fingerspelling and gestures with fifteen technical terms that do have standardized gestures. The terms’ fingerspelling and gesture are assessed based on preference, ease of use, ease of learning, and time by research subjects who were selected as DHH individuals familiar with ASL.
The data is collected in a series of video recordings by research subjects as well as a post-participation questionnaire. Each research subject has produced thirty total videos, two videos to fingerspell and gesture each technical term. Afterwards, they completed a post-participation questionnaire in which they indicated their preference and how easy it was to learn and use both fingerspelling and gestures. Additionally, the videos have been analyzed to determine the time difference between fingerspelling and gestures. Analysis reveals that gestures are favored over fingerspelling as they are generally preferred, considered easier to learn and use, and faster. These results underscore the significance for standardized gestures in the Computer Science curriculum for accessible learning that enhances communication and promotes inclusion.