Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95958
Title: | Designing an effective hackathon via university-industry collaboration for data science education | Authors: | Yuen, KKF Wong, AOM |
Issue Date: | 2021 | Source: | In 2021 IEEE International Conference on Engineering, Technology & Education (TALE), 5-8 December 2021, Central China Normal University (CCNU) campus, Wuhan, China, p. 723-728 | Abstract: | Hackathons have been used not only by enterprises for technological innovation and digital transformation, but also in academia for education innovation and programme promotion. This paper presents a hybrid approach for transforming an enterprise's workplace problem into a technology vendor-sponsored hackathon education. A real-life case study of a hackathon for college participants who are prospective students of a university data science programme is demonstrated. The university-industry collaborative approach of the hackathon provides several benefits for its stakeholders, namely promoting the reputation and recognition of the university's data science programme; offering creative and innovative solutions to the enterprise's workplace problems; encouraging the adoption of the technology vendor's platform, and finally, enhancing the teaching and learning experience for the college students and lecturers. This paper provides a structured framework and recommends practical principles and guidelines for designing effective hackathons that can bring about mind-set change and real-world business transformation. | Keywords: | Data science education Education innovation Hackathon education |
Publisher: | IEEE | ISBN: | 978-1-6654-3687-8 (Electronic ISBN) 978-1-6654-3688-5 (Print on Demand(PoD)) |
DOI: | 10.1109/TALE52509.2021.9678826 | Description: | IEEE International Conference on Engineering, Technology & Education (TALE), 5-8 December 2021, Central China Normal University (CCNU) campus, Wuhan, China | Rights: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication K. K. F. Yuen and A. O. M. Wong, "Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education," 2021 IEEE International Conference on Engineering, Technology & Education (TALE), 2021, pp. 1-6 is available at https://dx.doi.org/10.1109/TALE52509.2021.9678826. |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yuen_Hackathon_Data_Science.pdf | Pre-Published version | 1.04 MB | Adobe PDF | View/Open |
44967 Yuen_Hackathon_Data_Science.pdf | 1.12 MB | Adobe PDF | View/Open |
Page views
56
Last Week
0
0
Last month
Citations as of May 19, 2024
SCOPUSTM
Citations
6
Citations as of May 16, 2024
WEB OF SCIENCETM
Citations
3
Citations as of May 16, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.