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A Generative AI Chatbot in High School Advising: A Qualitative Analysis of Domain-Specific Chatbot a ChatGPT
Date
2023
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Abstract
Due to the variety of chatbot types and classifications, students and advisers may experience confusi
when trying to select the right chatbot that can more trust it, however, the classification of chatbo
depends on different factors including, the complexity of the task, the response-based approach and the
type of the domain. Since selecting the most effective chatbot is crucial for high schools and students, a
semi-structured interviews in qualitative research were conducted with eight high school students in order
to investigate the students ‘perspectives on different seven responses of generative questions from the
domain-specific chatbot named HSGAdviser, comparing it with the ChatGPT. All questions were related
students’ advising interests including university applications, admission tests, majors and more. The
transcribed data were reviewed and examined by using the thematic analysis. However, the results reveal
that most students found that HSGAdviser chatbot is easier, shorter, faster and more concise compared
to ChatGPT, especially for Yes/No questions as students expect brief answers. However, some students
found that certain crucial questions that can have a significance impact on their future, they would pref
the ChatGPT for more detailed information. The limitation of this study is the limited size of the
participants. Nevertheless, in the future research, other high school students from different regions will
participate in the study.