Filtering by
- All Subjects: undergraduates
- All Subjects: Dissertations, Academic
- Creators: Simmons, Emily
Thesis Launch was a six-week intervention that was designed to provide support for students in the critical early steps of thesis work such as brainstorming topics, examining professors’ research interests, reaching out to professors, preparing for meetings with potential thesis committee members, and writing a thesis prospectus. Thesis Launch offered web-based resources, weekly emails and text message reminders, and was supplemented by in-person advising options.
A mixed methods action research study was conducted to examine: (a) students’ perceptions of barriers that prevented beginning thesis work; (b) self-efficacy towards thesis work; (c) how to scale the intervention using technology; and (d) whether participants began the thesis early. Quantitative data was collected via pre- and post-intervention surveys, journals, and prospectus submissions. Qualitative data came from student interviews, journals, and open-ended questions on the surveys.
Quantitative data showed that after students participated in Thesis Launch, they had higher self-efficacy to work with professors, perceived fewer barriers to thesis work, and greater proportions of students began thesis work early. The qualitative data were complementary and showed that participants overcame barriers to thesis initiation, built self-efficacy, preferred an online intervention, and began thesis work early. Findings also showed that a primarily technology-based intervention was preferred by students and showed promise for scaling to a larger audience.
Thesis Launch provided a framework for students to begin work on the honors thesis and have mastery experiences to build self-efficacy. Strategies that fostered “small wins” and reflective efforts also assisted in this aim. Participants accomplished tasks tied to thesis work and customized their personal thesis timelines based on work begun during Thesis Launch. Finally, a discussion of limitations, implications for practice and research, and personal reflection was included.
The recent popularity of ChatGPT has brought into question the future of many lines of work, among them, psychotherapy. This thesis aims to determine whether or not AI chatbots should be used by undergraduates with depression as a form of mental healthcare. Because of barriers to care such as understaffed campus counseling centers, stigma, and issues of accessibility, AI chatbots could perhaps bridge the gap between this demographic and receiving help. This research includes findings from studies, meta-analyses, reports, and Reddit posts from threads documenting people’s experiences using ChatGPT as a therapist. Based on these findings, only mental health AI chatbots specifically can be considered appropriate for psychotherapeutic purposes. Certain chatbots that are designed purposefully to discuss mental health with users can provide support to undergraduates with mild to moderate symptoms of depression. AI chatbots that promise companionship should never be used as a form of mental healthcare. ChatGPT should generally be avoided as a form of mental healthcare, except to perhaps ask for referrals to resources. Non mental health-focused chatbots should be trained to respond with referrals to mental health resources and emergency services when they detect inputs related to mental health, and suicidality especially. In the future, AI chatbots could be used to notify mental health professionals of reported symptom changes in their patients, as well as pattern detectors to help individuals with depression understand fluctuations in their symptoms. AI more broadly could also be used to enhance therapist training.