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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:30:48am America, Santiago

Daily Overview

Session

52A: Curriculum Improvement
Location: Room 01: Oceania

Presentation 2

9:52am - 10:04am

Enhancing Engineering Students’ Problem-Solving Outcomes Through the Integration of Design Thinking and TRIZ: A Quasi-Experimental Study

María Yolanda Burgos López¹, Luis Humberto González-Guerra¹, Christian Etienne Coronado Mondragon¹, Ana Bustamante-Mora²

1: Instituto Tecnológico de Monterrey - Campus Monterrey, México; 2: Universidad de la Frontera - (CL)

This study investigates the influence of embedding TRIZ (Theory of Inventive Problem Solving) within a Design Thinking framework on engineering students’ problem-solving performance. The study employed a quasi-experimental design with 68 undergraduate engineering students who were assigned to two groups: a control group using Design Thinking (DT) and an experimental group using DT combined with TRIZ. The pedagogical design challenge students tackled was the development of learning tools for neurodiverse children. Final solutions were appraised using a rubric that assessed creativity, originality, technical feasibility, and systematic coherence. Independent samples t-test analysis confirmed no significant differences in creativity and originality between groups; however, statistically significant improvements were observed in technical feasibility and systematic coherence in DT+TRIZ condition (p < 0.05). These results indicate that design thinking and TRIZ can enrich student solutions with high technical quality while not undermining creativity. These findings suggest that hybrid innovation frameworks can help engineering students balance creative ideation with technical rigor in complex problem-solving contexts.