ISABELA – A Socially-Aware Human-in-the-Loop Advisor System

Fernandes, José Marcelo; Raposo, Duarte; Armando, Ngombo; Sinche, Soraya; Silva, J. Sá; Rodrigues, André; Pereira, Vasco; Oliveira, Hugo Gonçalo; Macedo, Luís; Boavida, Fernando

doi:10.1016/j.osnem.2020.100060

Cited by 19 publications

(13 citation statements)

References 24 publications

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“…1 , which we will explain the different components. The IoT boxset is a 3D printed component that we developed in the scope of a previous project [ 7 ], to monitor the temperature, light and noise of the surroundings, in this case, the physical classroom. The IoT boxset contains a Raspberry Pi gateway, an Arduino board, and sensors for communication, preprocessing, and sensing purposes, respectively.…”

Section: Proposed Solutionmentioning

confidence: 99%

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End-to-end experimentation of a 5G vertical within the scope of blended learning

Armando

Almeida

Fernandes

et al. 2021

Discov Internet Things

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The next generation of mobile networks, widely known as 5G, was designed to respond to the next 10 years’ communication challenges. 5G will be an essential structure on which all types of electronic communications will rely. Built on the emerging 5G technology, we developed a vertical solution for blended learning environments within a Portuguese national project scope. The project aims to propose an integrated demonstration of a set of products capable of being part and providing services in the future 5G networks framework. To this end, we adopted a bottom-up approach to design and develop a product named 5GOpenclasses, where we leveraged FIWARE middleware to manage all entities. This paper presents the architecture, technological platform, associated data structures, and end-user applications of 5GOpenclasses. We also present the design of innovative location-based service for blended learning environments. This paper is the first step of the proposed product towards its quantitative evaluation when running Over-the-Top on both 4G and 5G networks. Although successful unit tests were carried out in what concerns the functional outcome, the integration tests for quantitative results depend on the availability of other project components.

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Section: Proposed Solutionmentioning

confidence: 99%

“…The latter comprises the ones from the IoT boxset. Overall, the collected data from sensors feed several analytical services so that the teachers can be able to monitor the influence of the sensed values in the students' performances as we have also exploited in previous works [ 7 , 8 ].…”

Section: Proposed Solutionmentioning

confidence: 99%

End-to-end experimentation of a 5G vertical within the scope of blended learning

Armando

Almeida

Fernandes

et al. 2021

Discov Internet Things

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“…Telecom 2020, 1, FOR PEER REVIEW 3 In addition to the work presented in this paper, two additional papers have been published, namely, "A Human-in-the-Loop Cyber-Physical Approach for Students Performance Assessment" [15] and "ISABELA -A Socially-Aware Human-in-the-Loop Advisor System" [16]. While the first paper presents implementation details of the physical system and different trial results from the ones presented in both this paper and the second, the second presents a more detailed exploration of the online social network data, as well as the implementation of three different machine learning mechanisms for sleep detection, sleep quality, and sociability detection.…”

Section: Isabela Platformmentioning

confidence: 99%

“…The results of both modules are not presented in the present article, as they are already detailed in [16]. Further implementation details of the system are also explored in the aforementioned article.…”

Section: Processing In the Cloudmentioning

confidence: 99%

“…The implementation of the modules was carried out as follows: (i) Sleep Recognition: It was made using an implementation of the random forest algorithm, which was implemented in java based on the analysis realized with the WEKA framework; (ii) Sentimental State Recognition: It was implemented using a module called sentimental analysis, which processes the textual data collected from social networks, such as Facebook and Twitter, to infer the sentiment of students using polarities. The results of both modules are not presented in the present article, as they are already detailed in [16]. Further implementation details of the system are also explored in the aforementioned article.…”

Section: Processing In the Cloudmentioning

confidence: 99%

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Analysis of Student Academic Performance Using Human-in-the-Loop Cyber-Physical Systems

Sinche

Lascano

Fernandes

et al. 2020

Telecom

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Is it possible to analyze student academic performance using Human-in-the-Loop Cyber-Physical Systems (HiLCPS) and offering personalized learning methodologies? Taking advantage of the Internet of Things (IoT) and mobile phone sensors, this article presents a system that can be used to adapt pedagogical methodologies and to improve academic performance. Thus, in this domain, the present work shows a system capable of analyzing student behavior and the correlation with their academic performance. Our system is composed of an IoT application named ISABELA and a set of open-source technologies provided by the FIWARE Project. The analysis of student performance was done through the collection of data, during 30 days, from a group of Ecuadorian university students at “Escuela Politécnica Nacional” in Quito, Ecuador. Data gathering was carried out during the first period of classes using the students’ smartphones. In this analysis, we found a significant correlation between the students’ lifestyle and their academic performance according to certain parameters, such as the time spent on the university campus, the students’ sociability, and physical activity, etc.

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Individual Digital Study Assistant for Higher Education Institutions: Status Quo Analysis and Further Research Agenda

Karrenbauer

König

Breitner

2021

Lecture Notes in Information Systems and Organisation

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Today, digital assistants can support students during their studies. A quick and easily useable and accessible information transfer, individually tailored to the students' needs is required. Individual educational biographies and an increasing number of students require individual information provision and advice. Research on digital assistance systems has increased dramatically over the past decade. We focus on the individual digital study assistant (IDSA) field with its functionalities embedded in a typical student life cycle (SLC). In order to determine the status quo of DSA, we conduct a literature review with a focus on their functionalities. One research finding indicates that the DSA field generates a wide range of DSA functionalities. We structured them developing a morphological box. Finally, we discuss a further research agenda for the development, adaption, introduction, and success of IDSA.

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ISABELA – A Socially-Aware Human-in-the-Loop Advisor System

Cited by 19 publications

References 24 publications

End-to-end experimentation of a 5G vertical within the scope of blended learning

End-to-end experimentation of a 5G vertical within the scope of blended learning

Analysis of Student Academic Performance Using Human-in-the-Loop Cyber-Physical Systems

Individual Digital Study Assistant for Higher Education Institutions: Status Quo Analysis and Further Research Agenda

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