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16(2)2026 (IN PRESS)

Evaluating the impact of AI-powered tools on programming skills development among IT students at Davao Oriental State University (DOrSU)


Author - Affiliation:
Diether Cabug-os Montejo - De La Salle University, Manila Davao Oriental State University - Main Campus, Mindanao
Kit Adrian Baguna Diocares - Davao Oriental State University - Main Campus, Mindanao
Jennybabe Castro Arac - Davao Oriental State University - Main Campus, Mindanao
Keynt Harly Sacedor Adol - Davao Oriental State University - Main Campus, Mindanao
Shannen Gorgonio Mendoza - Davao Oriental State University - Main Campus, Mindanao
Corresponding author: Diether Cabug-os Montejo - diether.montejo@dorsu.edu.ph
Submitted: 24-06-2024
Accepted: 31-07-2024
Published: 18-10-2024

Abstract
This study evaluated the impact of AI integration on the development of computer programming skills among Bachelor of Science in Information Technology (BSIT) students at Davao Oriental State University (DOrSU). Using a descriptive cross-sectional quantitative research design, data were collected and analyzed from a sample of 100 students across all academic year levels from first year to fourth year using Quota sampling. This involved administering survey questionnaires to measure their programming skill proficiency and skill development with AI integrations. The findings indicated that AI integration significantly enhanced programming skills, with senior students showing the most improvement. This suggested that prolonged exposure to AI tools contributed to higher proficiency levels. The implications highlighted the necessity of incorporating AI into the IT curriculum to better prepare students for the tech industry, enhance problem-solving skills, and promote independent learning. This study contributed original insights into the educational value of AI, emphasizing its potential to transform programming education by fostering advanced technical skills and better academic outcomes.

Keywords
artificial intelligence; ChatGPT; computer programming; information technology

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References

Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & ArizaMontes, A. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanities and Social Sciences Communications, 10(1), 1-14.


Alharbi, W. (2023). AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Education Research International, 2023(1), 4253331. https://doi.org/10.1155/2023/4253331


Becker, B. A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., & Santos, E. A. (2023, March). Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (pp. 500-506).


Bhandari, P. (2022). What Is Quantitative Research? | Definition & Methods. Scribbr. https://www.scribbr.co.uk/research-methods/introduction-to-quantitative-research/


Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8


Davis, L. L. (1992). Instrument review: Getting the most from a panel of experts. Applied nursing research, 5(4), 194-197. https://doi.org/10.1016/s0897-1897(05)80008-4


Denny, P., Prather, J., Becker, B. A., Finnie-Ansley, J., Hellas, A., Leinonen, J., ... & Sarsa, S. (2024). Computing education in the era of generative AI. Communications of the ACM, 67(2), 56-67.


Dela Rosa, A. C., C Dacuma, A. K., B Ang, C. A., R Nudalo, C. J., J Cruz, L., & Vallespin, M. R. (2024). Assessing AI Adoption: Investigating Variances in AI Utilization Across Student Year Levels in Far Eastern University-Manila, Philippines. DOI: 10.47191/ijcsrr/6-i00-00


Dubey, G., Hasan, M., & Alam, M. A. (2022). Artificial intelligence (AI) and Indian education system: promising applications, potential effectiveness and challenges. Towards Excellence, 14(2).


Era, H. K. G. (2023). Impact of Artificial Intelligence in Education Sector: A Qualitative Study in Indian Context. Journal of Informatics Education and Research, 3(2). https://doi.org/10.52783/jier.v3i2.86


George, D. (2011). SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India.


Gulwani, S. (2022). AI-assisted programming: applications, user experiences, and neurosymbolic techniques (keynote). In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 1-1).


Haris, N. A., & Hasim, N. (2019). PHP frameworks usability in web application development. International Journal of Recent Technology and Engineering. https://doi. org/10.35940/ijrte. C, 1020, 1083S19.


Holmes W, Bialik M, & Fadel C. (2019). Artificial intelligence in education: promises and implications for teaching and learning. Boston, MA: The Center For Curriculum Redesign.


Jiang, J. (2022). One-way Analysis of Variance. In Applied Medical Statistics, J. Jiang (Ed.). https://doi.org/10.1002/9781119716822.ch9


Lincopinis, D., Martinez, D., & Remegio, A. (2023). A Review on Java Programming Language.


Necula, S. C. (2023). Artificial Intelligence Impact On The Labour Force--Searching For The Analytical Skills Of The Future Software Engineers. arXiv preprint arXiv:2302.13229.


Obenza, B., Salvahan, A., Rios, A. N., Solo, A., Alburo, R. A., & Gabila, R. J. (2024). University Students' Perception and Use of ChatGPT: Generative Artificial Intelligence (AI) in Higher Education. International Journal of Human Computing Studies, 5(12), 5-18.


Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. EURASIA Journal of Mathematics, Science and Technology Education, 19(8), em2307. https://doi.org/10.29333/ejmste/13428


Patel, K. K., & Vaidya, N. (2020). Enhancing Programming Competence Through KnowledgeBased Intelligent Learning System. In ICT Systems and Sustainability: Proceedings of ICT4SD 2019, Volume 1 (pp. 83-89). Springer Singapore.


Peng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023). The impact of ai on developer productivity: Evidence from github copilot. arXiv preprint arXiv:2302.06590.


Phung, T., Pădurean, V. A., Cambronero, J., Gulwani, S., Kohn, T., Majumdar, R., ... & Soares, G. (2023). Generative ai for programming education: Benchmarking chatgpt, gpt-4, and human tutors. In Proceedings of the 2023 ACM Conference on International Computing Education Research-Volume 2 (pp. 41-42).


Riyaz, S. Z., & Salim, S. S. (2023). Google’s bard and open AI’s ChatGPT: Revolutionary AI technologies and their impact on education. International Journal of Advanced Research in Science, Communication and Technology, 3(2).


Saari, M., Rantanen, P., Nurminen, M., Kilamo, T., Systä, K., & Abrahamsson, P. (2022). Survey of AI Tool Usage in Programming Course: Early Observations. In International Conference on Agile Software Development (pp. 182-191). Cham: Springer Nature Switzerland.


Saxena, R. (2022). Role of Artificial Intelligence in Indian Education System. Integrated Journal for Research in Arts and Humanities, 2(5), 104-107. https://doi.org/10.55544/ijrah.2.5.16


Sharma, T. (2024). An Overview of Python’s Popularity and Versatility. https://www.globaltechcouncil.org/python/python-popularity-and-versatility


Sheese, B., Liffiton, M., Savelka, J., & Denny, P. (2024, January). Patterns of Student HelpSeeking When Using a Large Language Model-Powered Programming Assistant. In Proceedings of the 26th Australasian Computing Education Conference (pp. 49-57).


Somasundaram, M., Sumitra, V., Vardan, R. S. V., Sakthipriya, B., Pavithra, K., & Nivedha, M. K. (2022). Monitoring and Facilitating Students Programming Skill Development using Robotic Process Automation (RPA) and Artificial Intelligence (AI)–A Case Study. In 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) (pp. 1-6). IEEE.


Sumakul, D. T. Y., Hamied, F. A., & Sukyadi, D. (2022). Students’ Perceptions of the Use of AI in a Writing Class. In 67th TEFLIN International Virtual Conference & the 9th ICOELT 2021 (TEFLIN ICOELT 2021) (pp. 52-57). Atlantis Press. https://doi.org/10.2991/assehr.k.220201.009


Walsh, T. (2023). More than Programming?: The Impact of AI on Work and Skills. In The Future of Work and Technology (pp. 173-187). Chapman and Hall/CRC.


Yan, W., Nakajima, T., & Sawada, R. (2024). Benefits and Challenges of Collaboration between Students and Conversational Generative Artificial Intelligence in Programming Learning: An Empirical Case Study. Education Sciences, 14(4), 433. https://doi.org/10.3390/educsci14040433


Yilmaz, R., & Yilmaz, F. G. K. (2023). The effect of generative artificial intelligence (AI)based tool use on students' computational thinking skills, programming self-efficacy and motivation. Computers and Education: Artificial Intelligence, 4, 100147.


Zouhaier, S. (2023). The Impact of Artificial Intelligence on Higher Education: An Empirical Study. European Journal of Educational Sciences, 10(1), 17-33.



DOI: https://doi.org/10.46223/HCMCOUJS.soci.en.16.2.3519.2026
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