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Introducing Korea’s first personalized student support AI assistant, ‘Dan.i’
Writer 글로벌전략팀 방민혁
Date 2021.06.22
View Count 417
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The DKU Innovation Institute for Future Education, directed by Sunghan Lim, introduced Korea’s first artificial intelligence-based education and research support system, ‘Dan.i.’ The service was launched after five years of applying AI technology to Dankook University’s education and research management since June 2017.

Dan.i analyzes student inquiries by topic and provides corresponding answers about academic programs, co-curricular programs, recruitment information, research paper information, and extracurricular activities using artificial intelligence. For faculty members, it provides information on various areas including student guidance, research trends, and academic administration. In short, AI takes the place of education- and research-related services that were previously offered by the university’s administrative staff.

To this end, the Innovation Institute for Future Education’s EduAI Center focused on collecting and analyzing the largest relevant data sets in Korea. Data analyzed include course registration histories (80 thousand people), employment status of graduates (50 thousand people), on/off-campus recruiting opportunities (10 thousand cases), course syllabi (100 thousand cases), and internal/external co-curricular activities (4 thousand cases). In addition, there are approximately 1.2 million datasets in Dan.i’s topic dictionary. Compared to simple chatbot (conversational interface) services offered by other Korean universities that are limited to simple inquiries on academic operations or convenience facilities, Dan.i offers comprehensive help on the largest range of services in Korea.

With Dan.i chatbot services, users can ask about academic information - wherever, whenever. Dan.i analyzes the topic selected by students and gives customized recommendations on academic programs, co-curricular programs, recruiting information, research papers, and extracurricular activities. It also analyzes the course registration history and external activities of graduates who have succeeded in employment to share their knowhow. Other functions include virtual academic lounges, created automatically based on analysis of academic departments, and voice recognition Q&A features offered in connection with AI speakers and IPTVs (internet protocol televisions). Searching learning information is also supported by leveraging APIs (application programming interfaces), such as Exobrain or other glossaries.