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, 05:31:39am America, Santiago
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Daily Overview |
| Session | |
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7B: Sustainability Virtual location: VIRTUAL: Agora Meetings | |
| Presentation 3 | |
5:20pm - 5:25pm
Digital Competences and Image-Based Mathematical Modelling with GeoGebra: A Work in Progress in Engineering Education Universidad Siglo 21 - (AR), Argentina Mathematical modeling is a central component of engineering education, as it allows for the articulation of mathematical concepts with real-world situations encountered in professional practice. However, its implementation in university mathematics courses remains a challenge, especially when students struggle to connect formal representations with authentic contexts and to use digital tools meaningfully. In this context, digital technologies, and in particular dynamic mathematical software environments, offer new possibilities for enriching teaching and learning processes. This work, conceived as a work in progress, presents ongoing research being conducted at Universidad Siglo 21 (Argentina). Its objective is to explore the integration of mathematical modeling activities based on environmental imagery and supported by the use of GeoGebra in university engineering courses. The study places particular emphasis on analyzing the digital competencies of students and instructors, considered a key factor in the design and implementation of innovative pedagogical approaches. Using a mixed-methods approach, classroom experiences are analyzed and preliminary data are collected through questionnaires and observations to identify strengths and challenges in the use of GeoGebra for mathematical modeling. Initial results suggest that, while students possess basic digital skills, they experience difficulties in the autonomous and reflective use of the software for modeling tasks. These findings guide the design of future teaching interventions that integrate mathematical modeling and the development of digital competencies in higher education. | |
