Enhancing Liberal Arts Education with IBM Cloud Technologies: A Case Study of Hong Kong Shue Yan University
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- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Machine Learning
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- Equipment & Machinery
- Product Research & Development
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- Virtual Reality
- Cloud Planning, Design & Implementation Services
- Data Science Services
Hong Kong Shue Yan University (HKSYU) is a private liberal arts university founded in 1971. It offers 17 undergraduate and 18 postgraduate programs to around 4,000 students a year. The university has recently focused on the field of digital humanities, using information and digital technology to transform education. In September 2020, HKSYU launched three laboratories for the study of big data, virtual reality, and robotics with the aim of reinventing liberal arts education and staying relevant in the digital age. The university is a pioneer in the industry for using AutoAI technology and low-code or no-code methods to teach data analyses skills to non-technical students and faculty.
Hong Kong Shue Yan University (HKSYU), a liberal arts school, was faced with the challenge of teaching non-technical students how to use advanced technology to enhance their studies. In September 2020, the university launched three laboratories for the study of big data, virtual reality, and robotics with the aim of reinventing liberal arts education and staying relevant in the digital age. The Big Data Laboratory was designed to facilitate studies and support research projects requiring data analytics, machine learning, and data visualization. However, the challenge was to equip the lab with technology that both students and faculty could easily learn and use. The students and faculty members were interested in using technology to support their studies and research but found it complicated to start with.
Dr. Connie Yuen, Head of the Department of Applied Data Science, Director of iFREE GROUP Innovation and Research Centre, and Director of the Big Data Laboratory, chose IBM Cloud Pak for Data technology, which runs on the university’s on-premises private cloud. This technology was chosen for its user-friendly interface and multiple microservices that could guide students step-by-step through tasks. The IBM Client Engineering team conducted a workshop to understand the university’s pain points, expectations, and requirements for academic use cases. The workshop resulted in a two-week minimum viable product (MVP) of IBM Watson® Discovery software for news analyses. The platform also provides an array of analytic components, but gives the university the flexibility to select just those services and components it needs most. One of those components is the AutoAI graphical tool in IBM Watson® Studio technology, which is integrated with the IBM Cloud Pak for Data platform.
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