Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education

Kevin Kam Fung Yuen; Amy Ooi Mei Wong

doi:10.1109/TALE52509.2021.9678826

Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education

Kevin Kam Fung Yuen
, Amy Ooi Mei Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

11 Citations (Scopus)

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.

Original language	English
Title of host publication	TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	723-728
Number of pages	6
ISBN (Electronic)	9781665436878
DOIs	https://doi.org/10.1109/TALE52509.2021.9678826
Publication status	Published - 2021
Externally published	Yes
Event	IEEE International Conference on Engineering, Technology and Education, 2021 - Wuhan, China Duration: 5 Dec 2021 → 8 Dec 2021 https://ieeexplore.ieee.org/xpl/conhome/9678505/proceeding

Conference

Conference	IEEE International Conference on Engineering, Technology and Education, 2021
Abbreviated title	TALE 2021
Country/Territory	China
City	Wuhan
Period	5/12/21 → 8/12/21
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9678505/proceeding

Keywords

Data Science Education
Education Innovation
Hackathon Education

Access to Document

10.1109/TALE52509.2021.9678826

Cite this

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title = "Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education",

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",

author = "Yuen, \{Kevin Kam Fung\} and Wong, \{Amy Ooi Mei\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE International Conference on Engineering, Technology and Education, 2021, TALE 2021 ; Conference date: 05-12-2021 Through 08-12-2021",

year = "2021",

doi = "10.1109/TALE52509.2021.9678826",

language = "English",

pages = "723--728",

booktitle = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/9678505/proceeding",

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Yuen, KKF & Wong, AOM 2021, Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education. in TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 723-728, IEEE International Conference on Engineering, Technology and Education, 2021, Wuhan, China, 5/12/21. https://doi.org/10.1109/TALE52509.2021.9678826

Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education. / Yuen, Kevin Kam Fung; Wong, Amy Ooi Mei.
TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2021. p. 723-728.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

TY - GEN

T1 - Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education

AU - Yuen, Kevin Kam Fung

AU - Wong, Amy Ooi Mei

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Data Science Education

KW - Education Innovation

KW - Hackathon Education

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U2 - 10.1109/TALE52509.2021.9678826

DO - 10.1109/TALE52509.2021.9678826

M3 - Conference Paper

AN - SCOPUS:85125927259

SP - 723

EP - 728

BT - TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE International Conference on Engineering, Technology and Education, 2021

Y2 - 5 December 2021 through 8 December 2021

ER -

Designing an Effective Hackathon via University-Industry Collaboration for Data Science Education

Abstract

Conference

Keywords

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