Abstract
Today, corporates are moving toward the adoption of Design-Thinking techniques to develop products and services, putting their consumer as the heart of the development process. Tim Brown, president, and CEO of IDEO, defines design thinking as “A human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success”. The application of design thinking has been witnessed to be the road to develop innovative applications, interactive systems, scientific software, healthcare application, and even to utilize Design Thinking to re-think business operation as the case of Airbnb. Recently, there has been a movement to apply design thinking to machine learning and artificial intelligence to ensure creating the “waw” affect to consumers. ACM Taskforce on Data Science program states that “Data Scientists should be able to implement and understand algorithms for data collection and analysis. They should understand the time and space considerations of algorithms. They should follow good design principles developing software, understanding the importance of those principles for testability and maintainability” However, this definition hides the user behind the machine who works on data preparation, algorithm selection and model interpretation. Thus, Data Science program to include design thinking to ensure meeting the user demands, generating more usable machine learning tools, and developing new ways of framing computational thinking. In this poster, we describe the motivation behind injecting DT in Data Science programs, an example course, its learning objective and teaching modules.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Accenture: Artificial Intelligence (2020). https://www.accenture.com/us-en/insights/artificial-intelligence-summary-index. Accessed 30 Dec 2020
Dragicevic, N., Lee, W., Tsui, E.: Supporting service design with storyboards and diagrammatic models. In: Proceedings of the Theory and Applications in the Knowledge Economy Conference, pp. 457–469 (2017)
Elmansy, R.: Design Thinking Case Study: Innovation at Apple, 7 April 2016. https://www.designorate.com/design-thinking-case-study-innovation-atapple/. Accessed 1 July 2021
IDEO: Design Thinking (2019). https://www.ideou.com/pages/design-thinking. 1 July 2021
Mehrabi, N., Morstatter, F., Saxena, N., Lerman, L., Galstyan, A.: A survey on bias and fairness in machine learning. Preprint arXiv:1908.09635 (2019)
SAP: SAP Combined Approach to Build Scalable Solutions (2019). https://experience.sap.com/designservices/approach. Accessed 1 July 2021
SAS: Machine Learning What it is and why it matters (2020). https://www.sas.com/en_us/insights/analytics/machine-learning.html. Accessed 30 Dec 2020
SearchEnterpriseAI: Machine Leaning Bias (2020). https://searchenterpriseai.techtarget.com/definition/machine-learning-bias-algorithm-bias-or-AI-bias. 1 July 2021
Schmarzo, B.: Design Thinking Humanizes Data Science (2019). https://www.datasciencecentral.com/profiles/blogs/design-thinking-humanizes-data-science. https://www.datasciencecentral.com/profile/BillSchmarzo. Accessed 1 July 2021
TechTarget: Design Thinking Humanizes Data Science (2019). https://www.datasciencecentral.com/profiles/blogs/design-thinking-humanizes-data-science. Accessed 1 July 2021
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Swaid, S.I., Suid, T.Z. (2021). Celebrating Design Thinking in Tech Education: The Data Science Education Case. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1498. Springer, Cham. https://doi.org/10.1007/978-3-030-90176-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-90176-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90175-2
Online ISBN: 978-3-030-90176-9
eBook Packages: Computer ScienceComputer Science (R0)