The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things (IoT), which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the Ambient Intelligence (AmI) research ﬁeld, whose focus is on transparently and intelligently supporting people. These new design methodologies are increasingly needed in the toolbox of new electronic and computer engineers, and teaching strategies should be devised that allow students to acquire a systems-level view instead of getting lost in technology-oriented approaches. This paper describes a study carried out over two academic years, in a course in ambient intelligence at Politecnico di Torino, Italy. In the course, a project-based learning approach was adopted, in which students design and prototype an AmI system, and their progress is closely monitored throughout the semester. The paper presents the learning goals and teaching strategies, analyzes the learning outcomes from the qualitative and quantitative points of view, and highlights the lessons learned in the process.
|Titolo:||Training Engineers for the Ambient Intelligence Challenge|
|Data di pubblicazione:||2017|
|Digital Object Identifier (DOI):||10.1109/TE.2016.2608785|
|Appare nelle tipologie:||1.1 Articolo in rivista|
File in questo prodotto:
|amicourse_FINAL.pdf||Post-print of accepted paper||2. Post-print||PUBBLICO - Tutti i diritti riservati||Visibile a tuttiVisualizza/Apri|
|published_paper_07582358.pdf||Final published version||2. Post-print||Non Pubblico - Accesso privato/ristretto||Administrator Richiedi una copia|