Plagiarism Prevention and AI Detection Software

The vendor is required to provide for a plagiarism prevention and artificial intelligence (AI) detection tool for grades 6-12 that allows academic institutions to easily determine if students are writing and submitting original work.
- The program will provide educators with a tool that searches the internet, as well as databases of papers and digital texts for sources of potential plagiarism.
- The tool would then generate a custom report that highlights and provides links to any textual matches found on the internet, in databases of previously submitted papers, and/or in proprietary database es of subscription-based publication material.
1. Online originality detective service
• The system should be software as a service (SaaS) that has the capability to check for potential plagiarism in student writing by conducting a search on submitted papers for content similarity to existing sources, as well as perform text analysis for AI detection.
2. Similarity search database
• Previously submitted student papers
• Subscription-based electronically published content, including articles from mainstream popular, business, and professional topics, including:
o Articles and documents from publishers including Wiley-Blackwell, Elsevier, american institute of physics, IEEE, Cambridge university press, British medical journal, new England journal of medicine
o Database collections from libraries, universities, corporations, governments, and professionals
o Electronic encyclopedias for the social sciences, public policy, law, business, and medicine
o Management research publications
o Educational and reference materials for history and social studies
o College and secondary textbooks across all disciplines
• Continuously-updated content from the publicly accessible internet
• An archived copy of past web pages no longer available on the internet
• Should search in multiple languages, including at minimum: english, German, Spanish, French, Italian, Dutch, Polish, Portuguese, Russian, Romanian, Vietnamese, Turkish, mandarin Chinese, Japanese, and Arabic.
3. Similarity report
• Percent similarity with other sources and documents
• Direct-source comparisons of matched words to matched documents (highlighted with or without color coding) numbered and aligned side-by-side
• Ability to exclude matching material within quotes, within the bibliography, or any individual source
• Ability to view all underlying matched words that have been obscured by overlapping matches
• Option to refresh a similarity report to include matches to any updated content in the database
• Automatic exclusion of submissions by the same author to the same assignment
• Ability to detect translated plagiarism by matching content that has been translated from english into another language.
• Proposers should indicate what languages their system supports
• Allows final papers to be checked against the final papers submitted by their classmates in the class.
• If classmates have submitted papers with a strong match, the instructed will be alerted to this by the final similarity report.
4. Formative writing tool
• Preloaded, customizable, and shareable rubrics
o Standard rubric - allows the instructor to enter scale values and criteria percentages
o Qualitative rubric - allows the instructor to create a rubric that has no numeric scoring
o Custom rubric - allows the instructor to enter any value directly into the rubric cells
• Preloaded and customizable marks and comments
o The ability to associate on-paper comments with rubric criterion
o Pre-loaded criteria explanations to help the student understand the connection to the rubric and the focus of each criterion
• Ability to provide spoken (voice) comments
• Automatic checking of grammar, spelling, mechanics, usage and style
• Allow instructors to set parameters for assignment submissions, including:
o Start date, due date, and post date
o Multi-part assignments, without flagging previous iterations o Allow grading feedback from the system, or from the LMS system
• Ability for the instructor to create peer review assignments that students can use to evaluate and learn from one another's work, including the ability to allow anonymous reviews 5. System reporting
• Usage statistics available on an institution-wide basis, and a per-instructor basis
• Number of classes
• Number of assignments
• Number of peer reviews
• Number of graded assignments
• Similarity percentages
• Data can be exported to microsoft excel
6. Technical requirements
• Integration with LMS: the tool must be able to be integrated with most standard course management or learning management systems such as canvas and have single sign-on (SSO) capability.
o Flexibility of exportation of data to other systems such synergy and other data warehousing systems.
o Proposers should describe the product integration process and describe the user interface experience for students and educators.
• Browser compatibility: must be compatible with commonly used browsers including Firefox, internet explorer, edge, chrome, and safari.
• File formats: the system should accept documents submitted in commonly used formats. the system must have the ability to capture the content of the files within the native application in which the content was produced, e.g., microsoft word documents should be captured within the microsoft word application.
• Formats accepted should include the following:
o Microsoft word
o Open office text
o Google docs via google drive
o WordPerfect
o Postscript
o Adobe pdf
o Microsoft PowerPoint
o Microsoft excel
o Html
o Rich text format
o Plain text
o Hangul word processor
7. data privacy and security
• The proposed solution should comply with all federal and state laws regarding data security and privacy, including FERPA (family educational rights and privacy act), and COPPA (child online privacy protection act).
• Proposers should include a copy or link to your company’s data privacy policies and procedures.
8. Product training and support
• On-site institutional training should be available, as well as access to online training. customer support should be available 24/7, via email and telephone.
• Product documentation, instructions, and FAQs should be available online and accessible by all licensed users.
• Proposers should detail all product training and support options available.
9. AI detection requirements
• AI-generated content detection
o The system must detect and flag content likely generated by large language models
o The system should clearly indicate the confidence level or probability that a text was generated by AI.
• AI detection reporting
o The tool should generate a separate or integrated report showing AI detection results.
o Reports must highlight suspected AI-written sections and provide a rationale for the determination.
• Human review option
o The system should allow educators to confirm or override AI-detection results after manual review.
• Context-aware analysis
o The system should distinguish between AI-assisted and fully AI-generated work when possible.
o Detection algorithms must account for legitimate use of grammar or writing tools like Grammarly or spellcheck.
• Privacy and data usage
o The system must comply with FERPA and other privacy regulations and not store or reuse student content for AI training.
• Integration and workflow
o AI detection results must integrate seamlessly into LMS platforms or teacher dashboards.
o Provide actionable insights without disrupting existing grading workflows.
- Contract Period/Term: 2 years
- Questions/Inquires Deadline: May 29, 2025