The Vendor is required to provide a comprehensive, secure, and scalable plagiarism detection and academic integrity platform to serve the university system.
- Solution will enhance agency ability to maintain high academic standards across its campuses by detecting plagiarism, text manipulation, and AI-generated content, while also providing rich instructional feedback features.
- The Solution must redirect unauthenticated users to agency Login for authentication.
- The Solution must process the authentication response from OAM to establish user sessions
- Must ensure that the Solution supports the mapping of user attributes provided by agency Login, such as emplID, email, roles, and other custom attributes required for authorization and personalization.
- Security division provides a comprehensive management framework that includes policies, assessments, tools, and tested procedures to build defensive strategies and capabilities for effective responses.
- currently running Oracle PeopleSoft Campus Solutions (CS), Human Capital Management (HCM), and Finance modules and that these modules support a range of functions within the organization, including student enrollment and academic management through Campus Solutions, employee lifecycle management such as recruitment, payroll, and benefits through Human Capital Management, and financial management, including accounting, budgeting, and procurement through Finance.
- Responsible for integrating contractor’s solution with PeopleSoft, acknowledges and understands that integrating with PeopleSoft (Application 9.2 or higher and PeopleTools 8.60.14 or higher) requires using REST APIs, File Processing, or a Third-Party Plug-and-Play Solution.
- These third-party systems are required to share or replicate security roles to PeopleSoft via REST APIs or file transfer methods.
- Uphold Academic Integrity
• Identify potential plagiarism, paraphrasing, text manipulation, translation plagiarism, and contract cheating— including content generated by AI tools—across a wide range of disciplines and submission types.
- Core Functional Requirements
• Real-time plagiarism detection leveraging web, academic, and institutional databases
• Accuracy Rates for Plagiarism Detection: The solution must maintain a minimum detection accuracy rate of
• 95%, including the identification of paraphrased, and translated content, cross-submission and cohort-based
• comparison to detect collusion
• Text manipulation detection (e.g., white text, character substitution, spacing anomalies)
• Contextual and translated similarity detection across multiple languages
• Interactive similarity reports with match highlighting, exclusion options, and comment tagging
• Customizable thresholds, scoring, and review statuses (e.g., Accept/Reject/Revise)
• Feedback tools including rubric integration, inline comments, and downloadable reports
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