PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 15, 2026Journal of Learning for Development0 citationsOpen Access

CodeMentor-AI: AI-Powered Feedback Application for Programming in Open and Distance Learning

NSNantha Kumar Subramaniam

Key Points

  • This research aims to evaluate the effectiveness of CodeMentor-AI in providing feedback for programming tasks in open and distance learning.
  • Conducted a pilot focus group with eight open and distance learning programming students.
  • Analyzed students' feedback on the AI tool's assistance and engagement.
  • Monitored participants' confidence and self-managed learning improvement.
  • Participants reported rapid assistance from CodeMentor-AI.
  • Students experienced clearer understanding and practical gains in programming.
  • Engagement and motivation levels were sustained, enhancing confidence in tackling assessments.

Abstract

This study examines CodeMentor-AI, an AI-powered tool that delivers immediate, adaptive and context-aware feedback on programming tasks. It supports iterative practice and self-managed learning to better prepare ODL learners for graded assessment. In a pilot focus group with eight ODL programming students, participants reported rapid assistance, clear understanding, practical gains, sustained engagement and motivation, and increased confidence to tackle the graded assessment and collectively strengthened self-managed learning.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nantha Kumar Subramaniam (2026) studied this question.

synapsesocial.com/papers/69b64c9ab42794e3e660ddbchttps://doi.org/10.56059/jl4d.v13i1.1882
Ask AI
Helpful
Bookmark
Share
View Full Paper