This project aims to explore and develop effective methods for preventing and detecting academic misconduct and plagiarism in programming courses, especially in the context of large student cohorts and the increasing use of AI tools. The project will be conducted over a period of two months.
Objectives:
- Conduct a Literature Review: Review current techniques for detecting misconduct and plagiarism in programming courses.
- Develop or Integrate AI-Based Tools: Create or integrate AI-based tools to identify potential cases of misconduct and plagiarism.
- Analyze Effectiveness: Evaluate the effectiveness of these tools and methods in real classroom settings.
School
Computer Science and Engineering
Research Area
Computer science education | Education technologies
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
- Access to academic databases for literature review.
- Development environment for creating or integrating AI tools.
- Collaboration with programming course instructors for classroom implementation.
- A detailed report on the current state of plagiarism detection techniques in programming courses.
- Development or integration of effective AI-based tools for detecting academic misconduct.
- An analysis of the effectiveness of these tools in real classroom environments.
