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Solution-based Learning (SBL): Using Systems Engineering Principles to Guide Capstone Projects in Technology
Author(s) -
Vigyan Chandra
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.25842
Subject(s) - capstone , process (computing) , systems thinking , workforce , computer science , capstone course , engineering management , critical thinking , knowledge management , engineering ethics , engineering , artificial intelligence , pedagogy , psychology , algorithm , economics , economic growth , operating system
In this paper, a new learning framework – solution-based learning (SBL) – is introduced. It offers a way of motivating students to continuously improve products or processes based on practical or aesthetic considerations. This learning framework keeps the focus on early and sustained success through all phases of a project. It leverages selected principles of Systems Engineering such as developing a discovery-oriented, multidisciplinary, life-cycle view of any given project. It also provides learners with the opportunity to deepen their critical/creative and process-oriented thinking skills. Developing a holistic and working understanding of the entire system, including the environment, the eventual users and the conditions of use, can result in more resilient designs, and more thoroughly tested solutions. Shifting the focus to developing early working solutions that are grounded in both learning theory and systems engineering allows students the opportunity to create a product that can be reviewed by both the designer and potential customer early, often, and potentially over its entire lifespan.

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