Bits and Bytes of Well-Being: Decoding Mental Health for College Students in Computer Science
- Presenter
- Chang Jin
- Campus
- UMass Amherst
- Sponsor
- Caryn Brause, Department of Architecture, UMass Amherst
- Schedule
- Session 1, 10:30 AM - 11:15 AM [Schedule by Time][Poster Grid for Time/Location]
- Location
- Poster Board A51, Campus Center Auditorium, Row 3 (A41-A60) [Poster Location Map]
- Abstract
- Research over the last decade has shown a sharp increase in mental health issues amongst university students, and several studies corroborate a common perception that these issues are more prevalent, or are experienced more intensely, amongst computer science students. Common explanations for this rise include rigorous academic expectations, intense competition, the isolated nature of programming tasks, societal pressure to meet industry demands, and particular physical health challenges. While prior research has considered and analyzed the mental health issues of student subgroups such as STEM fields and health sciences, no study has yet examined the prevalence and impact of the possible stressors, especially the five listed above. This study addresses this gap by surveying undergraduate computer science students at a large research university to examine the commonality and frequency of stressors for computer science students. The survey will consist of a variety of questions, including multiple choice, likert scale rankings, and short responses. The findings of this study can be used to raise awareness about the sources of mental health issues in the computer science student community and inform discussions about possible interventions. Findings may also be valuable to university staff and administration to create programming and policies that support student well-being.
- Keywords
- computer science, mental health, stressors
- Research Area
- Mental Health
SIMILAR ABSTRACTS (BY KEYWORD)
Research Area |
Presenter |
Title |
Keywords |
Mental Health |
Walter, Alexandra Grace |
|
Mental health (0.9), stress (0.769231)
|
Artificial Intelligence |
Hui Mei, Wilhen Alberto |
|
computer science
|
Public Health and Epidemiology |
Grimm, Abigail |
|
mental health
|
Mental Health |
Smith, Diamond |
|
mental health
|
Psychology and Behavioral Sciences |
Andrews, Molly Kiley |
|
mental health
|