Browsing by Author "Ulloa Amaya, Marlon Enrique"

Now showing 1 - 2 of 2

Applying the LALA framework for the adoption of a learning analytics tool in Latin America: two case studies in Ecuador
(CEUR-WS, 2020) Zúñiga Prieto, Miguel Ángel; Ortiz, Margarita; Ulloa Amaya, Marlon Enrique; Jimenez, Alberto
Worldwide, Higher Education Institutions (HEIs) are recognizing the benefits of using Learning Analytics (LA). Thus, there is more research on the adoption of LA tools as well as works presenting different frameworks for implementing LA in HEIs, mostly in Europe. In the case of Latin America, the LALA Framework was defined, containing detailed guidelines for LA adoption that take into account policies, ethics, and development of tools in the Latin American context. However, this framework has not been applied in real scenarios. Thus, this paper presents the results obtained with the application of the LALA Framework for the development and adoption of LA tools in two Latin-American HEIs with different LA contexts. As a result, this work not only shows the feasibility of this framework to guide the adoption of LA tools but also shows that different LA context requires the execution of activities applying different approaches. This work proposes changes to improve the LALA Framework. Changes mainly related to the inclusion of adoption alternatives that allow practitioners to select the one suitable for their specific institutional context.
Towards an ontology for supporting dynamic reconfiguration of Iot applications
(Springer International Publishing, 2020) Sari Uguña, Noemi Elizabeth; Ulloa Amaya, Marlon Enrique; Solano Quinde, Lizandro Damián; Zúñiga Prieto, Miguel Ángel
In the last years, several ontologies have been developed in the Internet of Things (IoT) domain to specify intelligent environments. Where, environment descriptions include both the software services, that expose the functionalities of devices; and resources, i.e. software components that control physical sensors and actuators, hosted on devices that sense or change the state of objects in the environment. This work proposes an ontological semantic network that supports the development of IoT applications that establish, at runtime, the binding with device services that allow them to fulfill their functionalities. This is done by enhancing device service descriptions with properties that allow inferring relationships among the attributes of the environment that an application is designed to control and the environment properties that device services are able to control. The applicability of the proposed model is shown through the population of the ontological network where an application establishes at runtime the binding among its functionalities and device services.