Research Article
Design of Computer Programming Training Assessment System with Machine Learning Approach
@INPROCEEDINGS{10.4108/eai.16-9-2025.2361036, author={Amirhud Dalimunthe and Sriadhi Sriadhi and Fahmy Syahputra}, title={Design of Computer Programming Training Assessment System with Machine Learning Approach}, proceedings={Proceedings of the 7th International Conference on Innovation in Education, Science, and Culture, ICIESC 2025, 16 September 2025, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2026}, month={3}, keywords={training assessment systems computer programming machine learning}, doi={10.4108/eai.16-9-2025.2361036} }- Amirhud Dalimunthe
Sriadhi Sriadhi
Fahmy Syahputra
Year: 2026
Design of Computer Programming Training Assessment System with Machine Learning Approach
ICIESC
EAI
DOI: 10.4108/eai.16-9-2025.2361036
Abstract
The development of information technology has a significant impact on the field of training. One trend is the integration of Artificial Intelligence into aspects of computer programming training. Artificial Intelligence-based assessment systems have the ability to analyze data in real-time, provide adaptive feedback, and assess learning outcomes objectively and efficiently. The Machine Learning approach allows the system to learn training data patterns, such as task completion performance, completion time, and difficulty level. This study aims to design a computer programming training assessment system based on Artificial Intelligence with a Machine Learning approach. The designed system can identify the strengths and weaknesses of training participants. The methods used include task analysis with supervised learning algorithms and predictive models that provide real-time adaptive feedback. The design model uses Agile including Requirements, Design, Develop, Testing, and Deploy. System testing uses the ISO 25010 standard including functionality, usability, reliability, performance efficiency, and compatibility.
