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Abstract In today's digital landscape, programming proficiency is essential across diverse domains. However, mastering fundamental concepts, such as basic Python programs and algorithms like searching and sorting, remains challenging for novice learners. Coding Companion, an innovative AI-enhanced code editor designed to tackle this challenge. Leveraging advanced AI models, Coding Companion offers comprehensive error detection capabilities, including identifying missing semicolons, incorrect indentation, logical errors, and common programming mistakes. It provides real-time, personalized suggestions for code completion and optimization, guiding learners through the coding process with precision. While formal studies have highlighted the transformative potential of AI-powered tools like GitHub Copilot in improving developer productivity, Coding Companion aims to set new standards in supporting learners. Anticipated improvements in learning outcomes include a significant increase in code quality, efficiency, and learning acceleration, particularly in mastering algorithms such as searching and sorting. By embracing its adaptive learning approach, students can deepen their understanding of key algorithmic concepts, including searching and sorting, and enhance their problem-solving skills.
Ansari et al. (Thu,) studied this question.