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The ubiquitous computing (UbiComp) is considered as an extension of the computational capabilities of the physical environment, allowing the computational structure to be present everywhere in the form of small, robust, networked processing devices distributed at all scales through everyday life and generally turned to distinctly common place ends. There are various research challenges regarding the design and use of instructional design tools in complex learning contexts such as Ubiquitous Computing, Mobile learning (m-learning) and Internet of Things (IoT), the technologies defined as UMI technologies. This paper presents the rationale, important issues and methodology constructed in the context of UbiComp so as to initially define an instructional design process for building a U-Learning Ecology for multidisciplinary education. We provide a consistent framework and structural view of integrating instructional design principles in UbiComp learning: we discuss our ideas on the design of a U-learning ecology by the gradual building of a robust design process and we provide an overview of our ongoing work on design/analysis tools supporting early stage prototyping for using UMI technologies.

Ubiquitous computing, mobile computing and the Internet of Things (UMI) have been widely used in several application areas. To date, methods and techniques for the application of these technologies in real life situations have continued to emerge; however, their use in education settings focusing on existing practices remain largely underexplored. A systematic mapping study (SMS) method was herein used to map initially identified 395 articles with the aims of systematically analyzing and presenting the evidence from the literature on the topic, and to identify important gaps as well as promising research directions. An appropriate methodological protocol has been adopted from the literature for the analysis, filtering, evaluation and report of the evidence. As a result, twenty-five studies have been selected and analyzed. The axes of analyzing systematically the literature were inspired by an existing UMI learning ecology. The analysis revealed important characteristics of existing UMI related educational practices in all levels of education, including  contexts and actors involved, methods and digital tools used, affordances and learning approaches important for achieving effective learning in IoT, Mobile and Ubiquitous Computing domain.

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