The Vendor is required to provide for AI solutions for transcript evaluation and transfer evaluation process improvement.
- Core Capabilities
• Automated transcript parsing extracts course titles, grades, credits, and institutions from scanned or digital transcripts using OCR and NLP.
• Course equivalency matching compares incoming courses with institutional catalogs to identify potential equivalencies or substitutions.
• Grading scale normalization converts grades from various systems (e.g., percentage, letter, GPA) into a standardized format for fair comparison.
• Transfer credit prediction uses historical data and machine learning to estimate how many credits will transfer and which requirements they fulfill.
• Time period recognition identifies academic terms and sequences to detect trends like GPA improvement or course progression.
• Template-based recognition applies institution-specific templates to improve accuracy when parsing transcripts from known schools.
• Security & compliance adheres to FERPA and GDPR standards with encryption, access controls, and audit trails.
- Advanced Features
• AI-powered advising Chatbots provides students with real-time answers about transfer eligibility, missing requirements, and next steps.
• Sentiment & theme detection some tools (like insight7 or looppanel) analyze qualitative data from interviews or advising sessions to detect student concerns or patterns.
• Executive summaries & reports automatically generates summaries of transcript evaluations for advisors, faculty, or admissions teams.
• Integration with sis & CRMS seamlessly connects with student information systems (like banner or workday) to update records and trigger workflows.
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