The AI-assisted quiz system, QuizBot, implemented in an AI and law course at the University of Oklahoma, introduces a novel approach to student assessment by integrating AI with the traditional Socratic method. This system engages students in active learning by facilitating interactive conversations with an AI chatbot that mirrors real-world legal practice. The chatbot not only asks students about the course material but also provides immediate feedback, allowing for rapid identification of areas where students may struggle. By shifting away from traditional assessment methods like essays and exams, QuizBot enhances student engagement, encourages critical thinking, and offers personalized learning experiences, all while preparing students for AI-integrated legal work.
The project highlights the pedagogical shift from memorization to conceptual understanding and demonstrates the potential of AI to revolutionize legal education. With further research and expanded use across other law school courses, this system could significantly impact bar exam preparation, continuing legal education, and long-term student progress tracking.
The Planned Giving department at the University of Oklahoma successfully implemented an AI use case, "Planned Giving GPT," which serves as a tool to assist front-line fundraisers with complex questions related to estates, trusts, and tax implications. By training a model using textbooks, conference materials, and other resources on philanthropic giving, the department aimed to reduce the burden on its small team, allowing gift officers to access information via self-service and also providing a virtual training resource. This solution was implemented using ChatGPT as the primary platform, with additional insights from ScholarAI, resulting in measurable outcomes such as increased self-service and time savings.
While the department faced minimal resistance, there were concerns about the accuracy of AI responses in areas like tax law, leading to the practice of "trust but verify" when using the model. AI has notably improved daily operations by supporting data modeling and generating written content, in addition to handling planned giving queries. A key lesson learned from this implementation is the importance of starting small and focusing on a specific challenge, which allowed the team to see the efficiency benefits AI could offer and made scaling the solution easier.
In the Health Sciences campus at the University of Oklahoma, the Facilities Management department has successfully implemented AI to support strategic planning and improve operational efficiency. AI tools such as ChatGPT, Grammarly, and Otter.ai have been used to enhance communication, streamline the creation of key performance indicators (KPIs) and departmental goals, and improve task management. The need for clear, concise communication with colleagues, vendors, and contractors, along with the introduction of a new HR review system, drove the implementation of AI to reduce the burden on supervisors. By automating the generation of KPIs and goals, the department has significantly increased efficiency and improved the quality of supervisory reviews.
The measurable outcomes of AI integration include enhanced team efficiency, reduced miscommunication, and optimized task prioritization, leading to more effective daily operations. Despite initial skepticism and integration challenges, voluntary training sessions helped ease the transition, allowing staff to quickly see the value of tools like ChatGPT for generating goals and Grammarly for improving communication. Lessons learned from the experience highlight the importance of offering user-friendly AI tools and providing practical demonstrations to encourage adoption, while also recognizing the need for additional support when integrating more complex tools like Otter.ai and Microsoft To-Do with third-party applications.
In the College of Law at the University of Oklahoma, an AI-powered Course Scheduling Bot was successfully implemented to streamline the process of building the course calendar each year, a task that had been previously time-consuming for the Head of Faculty. This bot automates much of the scheduling process, integrating course details and faculty availability, which significantly reduces the manual effort involved. This solution, alongside other AI initiatives like QuizBot for student assessments and AI-enhanced legal research, addresses key challenges in administrative efficiency and student engagement, allowing the department to focus more on academic and research priorities.
The impact of the Course Scheduling Bot has been significant, leading to increased efficiency in planning, optimized resource allocation, and reducing administrative burdens on faculty. Despite some initial skepticism and the need for training, the integration of AI has transformed daily operations, not only in scheduling but also in improving decision making and standardizing documentation. Lessons learned from this implementation include starting with small, targeted AI projects to demonstrate value, emphasizing robust training sessions, and securing stakeholder buy-in to ensure successful AI adoption across departments.
