Expanding the Learning Environment: Combining Physicality and Virtuality - The Internet of Things for eLearning

Domingo, Muriel Garreta; Forner, Juan Antonio Mangas

doi:10.1109/icalt.2010.211

Cited by 37 publications

(9 citation statements)

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“…Now days, the prodigious technology evolution and communication tools enable online learning through the huge learning environment names Internet. The IoT can represent an expansion of the learning ecosystem combining the physicality and virtuality, and will come close to the susceptibility of the learning process [20].…”

Section: E-learningmentioning

confidence: 99%

Predictable Influence of IoT (Internet of Things) in the Higher Education

Abbasy¹,

Quesada²

2017

IJIET

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Abstract-Internet of things (IoT) is a relatively an emergent technology that facilitate interaction between the real and virtual objects. As it develops and matures, it grows in scale and dimension influences the context of our life such as the education, in particular higher education; this article focuses on a research associated with the predictable impact of IoT in the superior education. A theoretical analysis along with a statistical study is explored in this paper. The theoretical and statistical results showed non-ignorable influence of the IoT in the education ecosystem in terms of the learning and managing factors. In some cases, such as the hyper-connectivity, collaboration and research opportunities the effect is significant. Emergent technologies such as the IoT at present are rapidly developing in the digital world and transforming traditional education system into a scalable, adaptable with rapid dynamic changes, flexible and more efficient E-learning with a topology where the huge number of physical and virtual interacting objects are involved in the process of learning. It is projected the IoT will make possible to develop the intelligent E-learning systems which can predict and determine the particular educational needs of the students, based on the study of data obtained from the connected objected.Index Terms-Internet of things (IoT), higher education, hyper-connectivity, e-learning, physical objects, virtual environment.

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Section: E-learningmentioning

confidence: 99%

Predictable Influence of IoT (Internet of Things) in the Higher Education

Abbasy¹,

Quesada²

2017

IJIET

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“…In order to systematically tap the potential of IoT in learning spaces, it will first be necessary to fully understand the needs of teachers and learners to then design and test didactically sound use cases and, in a final step, funnel these prototypes into the development pipeline. Authors Domingo and Forner (2010) also emphasize the importance of user-centric design in a paper that examines the development of hybrid learning environments in the context of IoT and eLearning. They stress how useful interdisciplinary teams are to developing such complex learning arrangements.…”

Section: A Holistic Framework As a Tool For Human-centered Sle Develomentioning

confidence: 99%

A conceptual framework for designing smart learning environments

Freigang

Schlenker

Köhler

2018

Smart Learn. Environ.

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The paper deals with the design of Smart Learning Environments (SLEs). Over and above that, it's about the interconnection between SLEs and the internet of things. With the question of how an interdisciplinary approach can contribute to the design of SLEs together with the disciplines of education, computer science and architecture the study empirically applies data collected in 2016. The empirical research was initiated by consolidating the findings from transdisciplinary analyses of the literature in a hypothetical model for designing SLEs. This model pooled success factors from different spheres of influence and served as a tool for empirical research. A triangulation was used for facilitating a model-validation in the context of 7 expert interviews, 7 questionnaires as well as a workshop with training experts. The data analysis resulted in the development of a holistic, socio-technical framework.

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“…The current status and technical and technological evolution of digital ecosystems has a very pronounced parallelism with all the technology that develops around the Internet and cloud services. More specifically, the evolution in making data collection, analysis procedures and decision-making are based on certain types of emerging technologies such as the Internet of Things (Domingo & Forner, 2010), processes that extract concepts of Business Intelligence (Ferguson, 2012;Long & Siemens, 2011), or data mining processes applied to knowledge management (Romero & Ventura, 2007, 2010Yukselturk, Ozekes, & Türel, 2014).…”

Section: Development Of Technological Ecosystemsmentioning

confidence: 99%