Application of a data-driven design-thinking approach to an industry-coupled problem-based learning course: The case of LG Electronics-Hanyang University in Korea

Author(s):  
Kyung Jin Cha ◽  
Young Bum Kim ◽  
Gyoo-Gun Lim
2020 ◽  
Vol 68 (6) ◽  
pp. 3393-3424
Author(s):  
Maria Zotou ◽  
Efthimios Tambouris ◽  
Konstantinos Tarabanis

Author(s):  
Shakuntala Acharya ◽  
Apoorv Naresh Bhatt ◽  
Amaresh Chakrabarti ◽  
Venkata S. K. Delhi ◽  
Jan Carel Diehl ◽  
...  

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 215-216
Author(s):  
Jeffrey G Wiegert ◽  
Leslie Frenzel ◽  
Jonan Donaldson ◽  
Kathrin Dunlap ◽  
Sushil Paudyal

Abstract Incorporation of a design thinking approach to problem-based learning in an animal science capstone maximizes intellectual growth and critical reasoning while exposing students to relevant, current industry challenges. Briefly, students working within groups formulate a complex problem statement following facilitated interaction with statewide livestock commodity group stakeholders, then develop implementable solutions via utilization of a design thinking model. This course design structure allows students to demonstrate proficiency in multiple departmental learning objectives: implementation of effective animal management strategies, utilization of animal production systems to sustain economic resources, demonstration of critical thinking, effective communication across multiple mediums, preparation to engage in lifelong learning, and evaluation of socially responsible techniques to produce animal products. Pandemic based restrictions provided students the ability to attend face-to-face classes or work remotely. The capstone was simultaneously delivered on both platforms, but all assessments and feedback were provided online. Student experiences were evaluated weekly through group feedback prompts. Principal student-reported experiences include emergent themes of effective team building and collaboration, a deeper understanding of the value of quality scientific literature, a requirement to pursue in-depth thought to generate actionable solutions, and a desire to independently reach outside of the classroom to learn from other industry professionals. Student assessments prioritized the learning and revision process, with multiple opportunities to improve the synthesis, synopsis, formatting and mechanics of their work throughout the semester. The course concludes with student presentation of their complex problem solutions to a panel of industry stakeholders and department administration, faculty and graduate students. In conclusion, a capstone course utilizing a design thinking approach to problem-based learning effectively provides real-world learning opportunities for students to apply their content knowledge while expanding their universal skills of teamwork, communication, social responsibility and lifelong learning. This course also provides increased opportunity for student-stakeholder engagement.


Author(s):  
José de Souza Filho ◽  
Walter Nakamura ◽  
Lígia Teixeira ◽  
Rógenis da Silva ◽  
Bruno Gadelha ◽  
...  

Author(s):  
Julia von Thienen ◽  
Adam Royalty ◽  
Christoph Meinel

This chapter introduces design thinking as an educational approach to enhance creative problem-solving skills. It is a problem-based learning paradigm that builds on three pillars: A creative problem solving process, creative work-spaces and collaboration in multi-perspective teams. This chapter discusses central elements of design thinking education and contrasts the approach to conventional education as well as other problem-based learning paradigms. In particular, design thinking classes harness a unique “look and feel” and “verve” to help students acquire and experience creative mastery. Furthermore, the chapter overviews empirical studies on design thinking education. Four studies are described in more detail: Experiments on the three pillars of design thinking and one case study where a university class curriculum has been changed to a design thinking paradigm. Finally, the chapter provides resources for readers who want to learn more about design thinking education.


Author(s):  
Melissa T. Greene ◽  
Richard Gonzalez ◽  
Panos Y. Papalambros

AbstractSystems engineering and design thinking have been widely seen as distinctly different processes, systems engineering being more data-driven and analytical, and design thinking being more human- centred and creative. We use the term ‘design thinking’ to encompass the plurality of human-centered design processes that seek to unpack the core values behind design decisions. With the increased awareness that both systems engineering and design thinking need each other, the effects of a possibly persisting distinction on engineers’ attitudes toward these two processes are not well understood. In this paper, we describe the development and validation of a scale for measuring individual attitudes about systems engineering and design thinking. Thematic analysis of engineering and design literature is used to derive a Likert scale reflecting these attitudes. We use exploratory and confirmatory factor analysis to test and confirm this two-factor thematic representation, resulting in a 9-item Systems Engineering and Design Thinking Scale measure of attitudes.


Fluids ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 130
Author(s):  
Tolotra Emerry Rajaomazava ◽  
Mustapha Benaouicha ◽  
Jacques-André Astolfi ◽  
Abdel-Ouahab Boudraa

A fluid-structure interaction’s effects on the dynamics of a hydrofoil immersed in a fluid flow of non-homogeneous density is presented and analyzed. A linearized model is applied to solve the fluid-structure coupled problem. Fluid density variations along the hydrofoil upper surface, based on the sinusoidal cavity oscillations, are used. It is shown that for the steady cavity case, the value of cavity length Lp does not affect the amplitude of the hydrofoil displacements. However, the natural frequency of the structure increases according to Lp. In the unsteady cavity case, the variations of the added mass and added damping (induced by the fluid density rate of change) generate frequency and amplitude modulations in the hydrofoil dynamics. To analyse this phenomena, the empirical mode decomposition, a well established data-driven method to handle such modulations, is used.


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