SOLL: Smart Objects Linked to Learning Educational Platform with the Internet of Things

Magalhães, Andreia; Andrade, António; Alves, José Matías

doi:10.23919/cisti.2019.8760921

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…e experimental results show that this IoT smart education platform has the advantages of high throughput and low latency. Others have also conducted a lot of research on the integration of the Internet of ings and smart education, but these studies mainly use the Internet of ings and innovative sensor technologies or new application levels to integrate [19][20][21][22][23], and few smart education systems involve artificial intelligence technology with the Internet of ings.…”

Section: Introductionmentioning

confidence: 99%

A Research on the Realization Algorithm of Internet of Things Function for Smart Education

Kui-liang

2022

Computational Intelligence and Neuroscience

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The traditional teaching mode is to use a point-to-point mode or a computer-aided system for teaching, but this limits students’ enthusiasm and interest in learning. The Internet of Things (IoT) technology is a technology that integrates sensors, the Internet, and terminals to transmit information in real time. The smart education based on the Internet of Things can realize remote teaching and actual scene teaching, and students can freely choose the learning location and time, which can greatly improve students learning interest and learning efficiency, which is a development trend of a new teaching method. Smart IoT teaching is a teaching method that combines IoT technology and artificial intelligence technology. This paper mainly studies the research and analysis of the smart education model based on the IoT in remote teaching. In this paper, sensor technologies such as cameras will be used to collect students’ expressions, speech, and other actions in class from different regions. These data features will be processed by the terminal’s intelligent algorithm, and the desired knowledge will be obtained according to the students’ behavior information. The information processed by the intelligent algorithm will be transmitted to the terminal system where the teacher is located, such as computer and mobile phone. This paper focuses on analyzing the reliability and accuracy of the intelligent algorithm of the IoT smart education terminal. The results show that the prediction error of the student behavior information is within 3% and the correlation coefficient reaches 0.99.

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Section: Introductionmentioning

confidence: 99%

A Research on the Realization Algorithm of Internet of Things Function for Smart Education

Kui-liang

2022

Computational Intelligence and Neuroscience

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“…After the activity is carried out, students will be asked to carry out a questionnaire about it and, at the end of it, a feedback on the evaluation and correction of the incorrect answers will. In this way, as you wish, "the assessment is continuous and systematic in the service of learning, and provides the teacher, the student, (…) with information on the development of the work, the quality of the learning done and the ways to improve it" ( [32] p. 3790-( 4)) and "the information obtained as a result of the evaluation also allows the revision of the teaching and learning process" ( [32] p. 3790-( 4)).…”

Section: Online Platform -Sollmentioning

confidence: 99%

SOLL Platform and Its Perceived Usefulness and Ease

Magalhães

Andrade

Alves

2021

Advances in Intelligent Systems and Computing

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The Internet of Things (IoT) appears with great educational potential, as it is a network composed of various objects and devices connected to the Internet, allowing the performance of interdisciplinary activities. Thus, it presents the SOLL platform: Smart Objects Linked to Learning, which, supported by a set of technologies that collect and store data from a greenhouse, allows dynamic, interactive and interdisciplinary learning and a synchronous or asynchronous evaluation. In this article, the platform architecture is exposed and, using a mixed methodology, student questionnaires and interviews with focus groups of teachers, the data obtained show that both teachers and students recognize perceived usefulness and ease on the platform, at least that it responds to the structure of the learning community, adopting a different learning model, with exploration and enrichment of educational information.

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“…In order to take advantage of technology to create for students special learning conditions "so that, they are able to critically select and seek the knowledge they wish to acquire, and integrate them into the set of knowledge that they already have and are capable of conducting a practice based on them " ( [28], p.69), the SOLL: Smart Objects Linked to Learning [29] project was created, which is based on the construction of a greenhouse, monitored by sensors that, through the Internet of Things, transmit real data in real time and constantly updated for the SOLL platform. From this, the students, aged between 12 and 15 years, perform a set of activities which fulfil the Essential Learning of the subjects of the 3rd Cycle of Basic Education, and intervene on the environment, acquiring new values.…”

Section: Learning Online Platform -Sollmentioning

confidence: 99%

Learning with platform SOLL

Magalhães

Alves

Andrade

2020

Proceedings of the 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighti

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The technology becomes fundamental for distance learning and the establishment of some social interaction. In this way, the Internet of Things (IoT), emerge with great potential for education because is a network composed of various objects and devices connected to the Internet, allowing the performance of interdisciplinary activities.Thus, introduces the platform SOLL: Intelligent Objects Linked to Learning which, supported by a set of technologies that collect and store data from a greenhouse, allows dynamic, interactive and interdisciplinary learning and a synchronous or asynchronous assessment.In this article, the platform's architecture is exposed and from a mixed methodology, student questionnaires and teacher focus group interviews, the data obtained show that this platform respond to the learning community structure, by adopting a different learning model, with exploration and enrichment of educational experiences.

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SOLL: Smart Objects Linked to Learning Educational Platform with the Internet of Things

Cited by 6 publications

References 5 publications

A Research on the Realization Algorithm of Internet of Things Function for Smart Education

A Research on the Realization Algorithm of Internet of Things Function for Smart Education

SOLL Platform and Its Perceived Usefulness and Ease

Learning with platform SOLL

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