Yonam Institute of Technology: AI Answers Before Students Even Ask
On the 2nd, Yonam Institute of Technology launched its 'AI Counselor,' which connects the student data the university has accumulated with generative AI to provide personalized guidance on academics, careers and employment, and campus life counseling for each student. The AI Counselor is a 'hyper-personalized AI assistant' service that comprehensively utilizes students' academic records, curricular and extracurricular activity histories, and career and employment information. It was developed by Yonam Institute of Technology as a full-cycle student support service under the school's CAIO (Chief AI Officer) framework, which oversees AI use across the university.
Existing student support methods, constrained by staffing and time, have been limited in their ability to comprehensively assess each student's academic history, activity experiences, and career goals to provide tailored services. Yonam Institute of Technology has focused on overcoming these limitations through AI technology to deliver hyper-personalized services that offer differentiated support based on each individual student's circumstances and needs.
The core of the service is the 'Daily Briefing,' which provides needed information without requiring students to ask first. It presents counseling schedules, extracurricular programs, and job postings in fields of interest tailored to each student's situation, and even explains why the information is relevant and what steps to prepare next. The design reflects the fact that even students in the same major need different information depending on their completed courses, activities, and desired roles.
The service also draws on conversational data from the existing AI chatbot. Students' questions are aggregated anonymously so individuals cannot be identified, allowing the system to identify seasonal trends in interests. When questions about course registration or grades surge at the start of the semester, it proactively offers suggestions matched to each student's completion status. For students preparing for employment, it recommends job postings based on their major, desired role, and preferred work location, organizes application requirements and submission documents, and helps with interview preparation based on their academic and activity histories.
The technical design applies the concept of 'ontology,' which defines the meaning, relationships, and interpretation rules of information, so that academic history, activity experiences, and career goals are interpreted in an interconnected way. The service is built on the AWS cloud environment, collecting and syncing data from existing information systems and integrating with generative AI based on Amazon Bedrock. The generative AI references both the university's accumulated data and the context of each student's conversations to provide personalized guidance.
When conversations reveal concerns about academics, careers, or interpersonal relationships, the service provides the necessary information, and if further help is needed, it connects students—respecting their wishes—to their academic advisors or professional counseling organizations, ensuring AI counseling leads to the university's actual student support services.
