Techno-socio Project-Based Learning program (PBL) is a very effective method to nurture engineering students’ skillsets and mindset as future professionals by identifying, analyzing, and solving issues through group work with a wide variety of teammates. This is a highly practical learning experience for participants to communicate with local government officers, industry professionals, and other local people, about societal issues and possible technology applications. This program especially puts high emphasis on experiential learning “outside the classroom”, namely field research activities that can supplement the limitation of conventional in-class studies. Engineering students can absorb what they need through practical experiences together with teammates with different backgrounds. While these experiences are valuable, in most cases they are not quantitatively measurable.
Meanwhile, PBL is highly suitable for 11 Graduate Attribute Profile (GAP) skills and awareness essential for global engineers defined by the Washington Accord (WA). They can be acquired through real-world experiences as “practice makes perfect”, rather than in-class lectures. However, these GAPs also consist of unmeasurable factors. Moreover, in the case they are acquired, it is difficult to clarify where, and how they happened.
This article examines the experiment to identify the causality between the techno-socio PBL contents and learning outcomes related to WA11GAP by applying a text-mining technique. The result concluded that this methodology is useful not only for grasping the effectiveness of PBL program contents from the cause-effect perspective but also applicable to other nonstandard teaching methods that cannot be quantitatively assessed with conventional exams.
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