In Search for a "Good Fit" Between Augmented Reality and Mobile Learning Ecosystem

2017-01-01
Ecosystems are particular areas in nature where all living and nonliving components interact with each other and their environment. The term has also been used as a metaphor in scientific and social contexts. Learning ecosystem is one of these which studies the components and interactions of learning processes. Augmented reality is among the components of a (mobile) learning ecosystem. Potentials of integrating augmented reality in mobile learning are not denied, yet there are concerns that these might turn into short living fashion items if their long term consequences are not considered. Defining a mobile learning ecosystem, clarifying the position of augmented reality component within, describing its relations with other components and searching for a balance in these interactions would be an answer to these concerns. This chapter gives an answer by presenting mobile learning ecosystem and augmented reality definitions derived from a Delphi study carried out in 2016 in Turkey. The results and discussions present a "good fit" framework for a viable mobile learning ecosystem.
MOBILE TECHNOLOGIES AND AUGMENTED REALITY IN OPEN EDUCATION

Suggestions

Capturing Definitions for aSustainable Distance Education Ecosystem through an Online Delphi Study
Gündoğan, Mihraç Banu; Eby, Gülsün (IGI Global,, 2015-01-01)
In broadest terms, ecology is the scientific study of interactions among organisms and their environment, and ecosystem defines a community of living organisms in conjunction with the nonliving components of their environment interacting as a system. At present, both terms are references of many studies including education; various authors and studies investigating distance education with an ecological perspective refer to the ecosystem concept as frameworks for defining the operational components and proce...
Urban biodiversity and climate change
Puppim De Oliveira, Jose Antonio; Doll, Christopher; Moreno Penaranda, Raquel; Balaban, Osman (Springer, 2014-08-01)
Urban biodiversity refers to the variety and variability among living organisms found in a city and the ecological systems in which they occur. Overall, urban biodiversity responds to a combination of biogeographic and anthropogenic factors, with a strong influence of the latter. In a rapidly urbanizing world under the pressing threat of climate change, there is a growing interest in understanding how cities benefit from local biodiversity and how these benefits can be under threat due to climate change. Th...
Impacts of multiple stressors on freshwater biota across spatial scales and ecosystems
Birk, Sebastian; et. al. (2020-08-01)
Climate and land-use change drive a suite of stressors that shape ecosystems and interact to yield complex ecological responses (that is, additive, antagonistic and synergistic effects). We know little about the spatial scales relevant for the outcomes of such interactions and little about effect sizes. These knowledge gaps need to be filled to underpin future land management decisions or climate mitigation interventions for protecting and restoring freshwater ecosystems. This study combines data across sca...
Computational Design Emergence by Complexity and Morphogenesis
Gürsel Dino, İpek (null; 2016-12-17)
Emergence is the form or behavior of natural or artificial systems, which materializes due to the system components’ interactions with each other and their environment. Emergent properties are a result of processes of self-organization of complex systems such as swarming behavior of birds, insect colonies, immune systems, cities, the World Wide Web, social interactions, etc., as well as processes of natural morphogenesis that exhibit behavior of growth and adaptation. Emergent systems are also closely relat...
ANALYSES OF ECOSYSTEM-PRIMARY PRODUCTION INTERACTIONS IN THE NORTHERN LEVANTINE BASIN
Yilmaz, Elif; Salihoğlu, Barış; Department of Oceanography (2016-10-12)
Three areas of different ecosystem characteristics in the Northern Levantine Basin is compared using a 1-D multicomponent lower trophic level ecosystem model developed by SALIHOĞLU, B. et al. (2009) (NAGEM). Main focus was to analyze and compare the carrying capacity (PP) and regulatory mechanisms of the nutrients on lower trophic levels. 26 years’ of historical data obtained from METU-IMS data inventory and CORIOLIS was used to form a climatology, to introduce boundary conditions to the model as well as to...
Citation Formats
M. B. Gündoğan, “In Search for a “Good Fit” Between Augmented Reality and Mobile Learning Ecosystem,” MOBILE TECHNOLOGIES AND AUGMENTED REALITY IN OPEN EDUCATION, pp. 135–153, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37321.