We’re partnering with Fort Hays State University (FHSU) with mentorAI—an institution-controlled, LLM-agnostic platform that helps faculty align courses to outcomes and gives students 24/7, program-aware support.
Our Partnership With Fort Hays State University
This partnership pairs FHSU’s academic leadership with ibl.ai to co-develop a program-building agent plus four course mentors tuned to Social Work’s competencies and accreditation needs (CSWE), while leveraging OSCQR for course quality. The shared goal: reduce friction for faculty, increase coherence for students, and deliver authoritative, just-in-time answers tied to program outcomes.
Transforming Program Design and Student Support
The collaboration begins in the Department of Social Work, where faculty and students will use mentorAI to strengthen connections between learning outcomes, course design, and field-based experiences.
Rather than acting as a generic chatbot, mentorAI serves as an academic guide—an intelligent co-pilot that maps program learning outcomes, curates open educational resources (OER), and helps students navigate assignments and reflections with context-aware support.
Faculty can create and customize their own course mentors, each fine-tuned to the discipline and accreditation standards (such as CSWE) that shape Social Work education. This helps ensure that every mentor is academically grounded and aligned to real program goals.
Building a Connected Curriculum
This initiative aligns with Fort Hays State University’s “Connected Curricula” framework—an iterative approach to curriculum design that connects gap analysis, backward and experiential design, AI-enhanced course delivery, and continuous improvement.
With mentorAI, FHSU’s faculty gain a powerful way to visualize and strengthen these connections, using program data and outcome analytics to guide both course improvements and student learning experiences.
What We're Building
Rather than static documents, mentorAI acts like a live, conversational guide for program design and student support.
- Program Learning Outcomes Analysis & Synthesis: Small, purpose-built agents map course objectives to program outcomes and CSWE standards; they highlight gaps/redundancies and produce an accreditation-ready narrative with a curriculum map and OSCQR-based syllabus annotations.
- Comprehensive Course Redesign Framework: Faculty get AI-assisted recommendations on assessments, pedagogy, and OER, improving measurability and alignment without sacrificing instructor agency.
- Agentic AI for Experiential Learning: A course-integrated mentor supports reflection, ethical reasoning, and fieldwork connections, complete with a prompt library, anonymized transcripts for review, and summary reports that surface improvement opportunities.
- Faculty Development & Support: Hands-on workshops, weekly check-ins, and no-code configuration inside mentorAI accelerate iteration and adoption.
Why This Matters
- For students, mentorAI means faster answers, clearer expectations, and stronger connections between coursework and professional preparation.
- For faculty, it reduces the administrative burden of course alignment while maintaining full control over design and pedagogy.
- For the institution, it represents a sustainable, faculty-led model for integrating generative AI that preserves data ownership and reinforces academic standards.
This partnership exemplifies how AI can strengthen, not replace, human teaching. With mentorAI, faculty at Fort Hays State can bring outcome mapping, program design, and student support together under one transparent and secure system.
To explore how ibl.ai and mentorAI are helping Fort Hays State University connect program outcomes, course design, and student support through AI, visit https://ibl.ai/contact to learn how your institution can build its own connected-curriculum initiative.