New Strategies Using Handheld Augmented Reality and Mobile Learning-teaching Methodologies, in Architecture and Building Engineering Degrees

In this paper we present “ML-AR” Practice Modules, in the field of Architecture and Building Engineering. They are alternative to traditional courses which are taught over a semester, and adapted to the student learning flow. In this case we used a particular technology such as Hand Held Augmented Reality (HHAR), to overlap virtual models on real scenes. Experience was limited to specific groups within four areas of undergraduate and master. In each case, specific Mobile Learning (ML) practices have been carried out. Each experimental group (EG) has been able to visualize a virtual model created by them or their teachers, in order to evaluate an architectural proposal or a construction detail, on site, as part of their own learning process. Students without the required devices, still in the ordinary course, configured the control group, (CG). Virtual models generation and augmented scenes preview on site, provided evaluation tools for better assessment and knowledge of student’s proposals prior to any intervention. In addition, tangible interaction and the abilitiy to modify and share their views also provided social skills and helped to create a self-formative process. Mobile devices and AR technology were used close to the students who show greater motivation and commitment in their didactic contents generation. Evaluation is based on academic performance improvement through study cases, by comparing the achievement of the overall objectives between the two groups (EG & GC). Relationship between performance and usability is also assessed. The experiments carried out confirmed our initial hypothesis, where Information and Communication Technologies (ICT) used in the web 3.0 environments, allow improving learning processes and reducing its temporality without previous experience at a very low cost. AR Technology in this area combined with Cloud computing development, creates a new paradigm of continuous training and self-learning though the use of AR technology