Abstract:
An extensive language model called ChatGPT
created by the OpenAI Foundation, has created a
significant impact in academia and industries,
especially due to its impressive performance,
particularly in synthesizing human-like results
from vast amounts of data. Despite numerous
research efforts on top of ChatGPT, there is a
paucity of literature providing in-depth analysis
among undergraduates, the group that utilizes
ChatGPT the most. Thus, this study addresses this
gap through an in-depth analysis based on data
collected through a structured questionnaire
administered to 171 undergraduates. The
questionnaire covered various aspects related to
the usage of ChatGPT, including awareness,
frequency of usage for learning, accuracy of
information, perceived improvements, and future
expectations from language models. Results
indicate that ChatGPT is well-known and used
frequently for academic reasons, especially for
preparing assignments and exams. While most
students appreciate LLMs, appropriately half
have encountered partially accurate answers,
revealing limitations in information accuracy.
Some students emphasize the importance of
promoting individual study and critical thinking
skills, while others advocate for more
comprehensive responses, including visuals and
video lectures. Many students claim that LLMs
have improved their academic performance, and
LLMs tend to be favored among these
undergraduates. These insights underscore the
potential for LLMs like ChatGPT to transform
learning and research experiences, emphasizing
the need for ethical surveillance and adaptation to
shifting student expectations while addressing
issues of accuracy and bias. This positions LLMs
as useful tools for knowledge acquisition and
exploration in academia's changing digital
landscape.
