In today’s dynamic educational landscape, providing students with timely, personalized support is essential for academic success. The Artificial Intelligence (AI) Chatbot project at Chamberlain University showcases how technology can transform student learning. Initially piloted in four nursing courses under the name “Nurse Ally,” the chatbot’s strong reception led to its expansion across the university as “Coach Ally,” benefiting over 40,000 students.

The project addressed a key challenge: students’ need for immediate, tailored academic assistance. Many nursing students struggled to navigate course materials, locate resources, and understand complex concepts. By offering 24/7 access to AI-driven support, the chatbot reduced repetitive, low-level questions, allowing faculty to focus on high-impact teaching. Key integrations included Canvas LMS, Kaltura for video content, Simple Syllabus for course outlines, and Microsoft SharePoint for resource access, with additional platform connections planned for future phases.

Built on a tight four-month timeline, the pilot featured two core chatbot modalities: transactional (course logistics and deadlines) and tutoring (content-based support). Embedded directly within the LMS, responses were immediate and linked to appropriate resources. In the pilot phase, approximately 2500 students participated in the pilot of the AI tool. Engagement was strong with majority of the students in the pilot courses using the chatbot.

Following the successful pilot, the chatbot was scaled rapidly across all Chamberlain programs and rebranded as “Coach Ally.” A strategic communication plan helped adoption, including targeted messages, release schedules, and instructional videos. Students could use features such as weekly study planning, multilingual support, and content summaries. The chatbot’s ability to translate complex nursing concepts into simpler terms and multiple languages helped non-English speaking students engage more effectively.

Following this success, the chatbot was launched at Ross University School of Medicine, with additional pilots underway at Ross University School of Veterinary Medicine and American University of the Caribbean. Continuous collaboration with faculty and IT teams resulted in new capabilities like proactive alerts, course cross-linking, enhanced data analytics for program leaders, and personalized notifications that helped students stay on track.

This initiative embodies ICERI values of innovation, collaboration, and inclusivity by creating a flexible, AI-driven academic support system. The chatbot project showcases how emerging technologies can enhance education by delivering real-time, personalized learning experiences across diverse student populations. By fostering self-directed learning and providing immediate assistance, it significantly contributes to improved academic outcomes and student satisfaction across institutions.

Keywords: Emerging Technologies in Education, Artificial Intelligence, Chatbot, Nursing Education.