AI Powered Plagiarism Detection and Academic Integrity Workflow

Plagiarism Detection and Academic Integrity Monitoring

1. Initial Submission of Academic Work

1.1. Student Submission

Students submit their assignments through the Learning Management System (LMS).

1.2. Automatic Acknowledgment

The LMS sends an automatic acknowledgment to the student confirming receipt of the submission.

2. Plagiarism Detection

2.1. AI-Driven Plagiarism Detection Tools

Utilize AI-powered tools such as Turnitin, Grammarly, or Unicheck to analyze the submitted work for potential plagiarism.

2.2. Text Similarity Analysis

The AI tools compare the submitted text against a vast database of academic papers, web content, and publications to identify similarities.

2.3. Report Generation

Upon completion of the analysis, a detailed report is generated highlighting matched content, similarity percentages, and sources.

3. Review Process

3.1. Instructor Review

Instructors review the plagiarism report alongside the original submission to assess the context of flagged content.

3.2. Decision Making

Based on the review, instructors determine whether the work meets academic integrity standards or requires further action.

4. Academic Integrity Monitoring

4.1. Continuous Monitoring

Implement AI tools such as Copyscape or Plagscan for ongoing monitoring of submissions across the institution.

4.2. Data Analytics

Utilize data analytics to track trends in plagiarism incidents and identify departments or courses with higher rates of academic dishonesty.

5. Feedback and Education

5.1. Student Feedback

Provide constructive feedback to students regarding their submissions, emphasizing areas for improvement in citation and originality.

5.2. Academic Integrity Workshops

Conduct workshops and seminars on academic integrity, proper citation practices, and the importance of original work.

6. Policy Enforcement

6.1. Institutional Policies

Ensure all students are aware of the institution’s academic integrity policies and the consequences of plagiarism.

6.2. Disciplinary Actions

Implement disciplinary actions for cases of confirmed plagiarism, following the established protocols of the institution.

7. Continuous Improvement

7.1. Feedback Loop

Establish a feedback loop for instructors and students to continually improve the plagiarism detection process and academic integrity education.

7.2. Technology Updates

Regularly update AI tools and methodologies to adapt to new trends in plagiarism and enhance detection capabilities.