The vendor is required to provide from artificial intelligence (AI) solutions for higher education and to gather information.
- The university of artificial intelligence (AI) technologies across academic, administrative, and operational departments of higher education institutions.
- Understanding AI in higher education & use cases:
1. Describe current or potential use cases for AI in higher education across these categories:
• Teaching and learning (e.g., tutoring, grading assistants)
• Academic advising and student success
• Research support and data analysis
• Administrative automation (e.g., HR, finance)
• Campus services (e.g., facilities, safety, sustainability)
2. Provide examples or case studies of implementations at other institutions.
- Defining terminology & AI categories
• Define key AI-related terms used in your product offerings (e.g., machine learning, generative AI, NLP, computer vision).
• Categorize your AI solutions (e.g., analytics, automation, chatbot, intelligent tutoring system, recommendation engine).
• Indicate which platforms your solutions are compatible with (e.g., LMS, CRM, SIS, ERP, cloud providers).
- Questions/Inquires Deadline: May 14, 2025