Sungkyunkwan University
Kingobot 2.0 natural-language academic-information assistant
Sungkyunkwan built Kingobot 2.0's question structure from 37,745 academic questions
Problem
Students needed remote access to university information without waiting for staff assistance. The original chatbot required users to select predefined scenarios.
Approach
The university introduced Kingobot 2.0 in March 2018 and reported it still operating in 2021. It mined academic Q&A questions for keywords and associations. The system analyzed incoming questions and selected the most similar learned answer.
Results
Takeaway
Historical student questions supplied material for answer retrieval. The university did not report answer accuracy or changes in staff workload.
Categories
- Industry
- Education
- Business function
- Customer service
- Innovation type
- Process innovation
- AI technology
- Conversational and voice AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
The university's data-analysis director described Kingobot 2.0's operating NLP service. His presentation abstract identified March 2018 as its introduction and 37,745 questions as its text-mining input.
Full details are in the original sources.