EVALUATING THE IMPACT OF USING GITHUB COPILOT BY COMPUTER SCIENCE STUDENTS IN UNIVERSITI MALAYSIA SARAWAK
Programming or coding is an important skill that has to be learn by computer science students. There has been a couple of coding assistance tools in the market. The latest one is Artificial Intelligent driven code completion tools, such as GitHub Copilot that help students write code with just...
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/44140/1/Etheldritha%20%20%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/44140/4/Etheldritha%20%20ft.pdf http://ir.unimas.my/id/eprint/44140/ |
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| Summary: | Programming or coding is an important skill that has to be learn by computer science students.
There has been a couple of coding assistance tools in the market. The latest one is Artificial
Intelligent driven code completion tools, such as GitHub Copilot that help students write code
with just a simple natural language command in the form of comment. This tool is a great help
for programmers as it fastens the time taken to write a program. However, it is unknown
whether this tool can be a great learning tool for students that are still learning and mastering
programming skill and languages. This research is done to evaluate the impact and acceptance
of using GitHub Copilot among computer science students in Universiti Malaysia Sarawak and
to find out the parameters that can be used to evaluate students’ efficiency in coding a program.
To do this research, a controlled experiment involving a selective group of students who used
both GitHub Copilot and conventional programming methods to complete a programming task
and then questionnaires will be distributed to the group of students. The questionnaires contain
question to find out the students’ opinion of the tools and how well they are accepting it using
the Unified Theory of Acceptance and Use of Technology (UTAUT). After the students answer
the survey, the result will be discussed and analyse. Overall, the result of the evaluation reveals
that GitHub Copilot significantly improved the productivity of computer science students. The
tool shortens the code-writing process, reducing development time and minimizing the
likelihood of syntax errors. Additionally, GitHub Copilot enhanced code quality by suggesting
relevant and accurate code snippets. However, some students consider the usage of the tool as
cheating and plagiarising. The user satisfaction may vary depending on individual preferences
and experiences. Therefore, careful monitoring and guidance are necessary to ensure that
students strike a balance between utilizing the tool and developing their own coding expertise. |
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