Authors :
Norhasliza Binti Muhamad Nor; Nursyuhada Binti Mohamad; Azrahayu Binti Abdul Aziz
Volume/Issue :
Volume 11 - 2026, Issue 5 - May
Google Scholar :
https://tinyurl.com/ph26ppu8
Scribd :
https://tinyurl.com/msusyvxa
DOI :
https://doi.org/10.38124/ijisrt/26May714
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The advancement of Artificial Intelligence has significantly impacted programming education by providing
support in concept understanding, code generation, and problem-solving. This study aims to investigate the use of this
technology as a support tool in programming learning among polytechnic students, focusing on usage patterns, learning
effectiveness, risk perception, and student acceptance. A quantitative research design was employed using a structured
questionnaire to collect data related to usage, learning effectiveness, risk perception, and acceptance among students. The
findings indicate that the technology is primarily used for understanding programming concepts, followed by generating
code examples and debugging support, while its use for completing assignments is relatively lower. Overall, students
demonstrate positive perceptions of its effectiveness, particularly in enhancing understanding, improving problem-solving
abilities, and increasing learning engagement. Risk perception related to dependency and passive learning is found to be
low, indicating controlled and responsible usage of the technology. In addition, instructor guidance is identified as an
important factor in ensuring effective integration of the technology in programming learning. The study concludes that
Artificial Intelligence serves as an effective support tool in programming education, with important implications for teaching
practices in polytechnics.
Keywords :
Artificial Intelligence; Programming Education; Instructor Guidance; Polytechnic Students.
References :
- I. H. Sarker, “AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems,” SN Comput. Sci., vol. 3, no. 2, pp. 1–20, 2022, doi: 10.1007/s42979-022-01043-x.
- Y. K. Dwivedi et al., “‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy,” Int. J. Inf. Manage., vol. 71, no. March, 2023, doi: 10.1016/j.ijinfomgt.2023.102642.
- Gemini Team et al., “Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context,” pp. 1–154, 2024, [Online]. Available: http://arxiv.org/abs/2403.05530
The advancement of Artificial Intelligence has significantly impacted programming education by providing
support in concept understanding, code generation, and problem-solving. This study aims to investigate the use of this
technology as a support tool in programming learning among polytechnic students, focusing on usage patterns, learning
effectiveness, risk perception, and student acceptance. A quantitative research design was employed using a structured
questionnaire to collect data related to usage, learning effectiveness, risk perception, and acceptance among students. The
findings indicate that the technology is primarily used for understanding programming concepts, followed by generating
code examples and debugging support, while its use for completing assignments is relatively lower. Overall, students
demonstrate positive perceptions of its effectiveness, particularly in enhancing understanding, improving problem-solving
abilities, and increasing learning engagement. Risk perception related to dependency and passive learning is found to be
low, indicating controlled and responsible usage of the technology. In addition, instructor guidance is identified as an
important factor in ensuring effective integration of the technology in programming learning. The study concludes that
Artificial Intelligence serves as an effective support tool in programming education, with important implications for teaching
practices in polytechnics.
Keywords :
Artificial Intelligence; Programming Education; Instructor Guidance; Polytechnic Students.