A Smart Ecosystem for Learning and Inclusion: An Architectural Overview

Martins, Valéria Farinazzo; Tomczyk, Łukasz; Amato, Cibelle Albuquerque de la Higuera; Eliseo, Maria Amélia; Oyelere, Solomon Sunday; Akyar, Özgür Yaşar; Motz, Regina; Barros, Gabriel; Sarmiento, Sonia Magali Arteaga; Silveira, Ismar Frango

doi:10.1007/978-3-030-58799-4_44

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…This finding also the issue that the time spent by users drew near to each other with the last device (PACEMAKER) suggested that by going through more steps and also due to the appeal of this particular training method, users' attentiveness had increased, which resulted in higher users' success rate. Although other studies evaluated digital ecosystems aimed at healthcare [22,23] or reviewed its implementation in education [24,25], this is the first digital ecosystem with a focus on medical education. This web-based system is one of the first known virtual laboratory ecosystems that has attempted to make the designation and establishment of the virtual laboratory experience easy enough that every clinician or laboratory specialist without any programming skills would be able to work with it.…”

Section: Discussionmentioning

confidence: 99%

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

Khorasani

Nour²,

Pisheh³

et al. 2022

JAMMR

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Theory: The technological revolution has profoundly changed our lives. Learning has also been affected by the significant advances in technology, leading human society to a place where distance learning would become inevitable. One of the many tools facilitating distance learning is virtual laboratories that use simulations for educational purposes and turn theoretical knowledge into practical skills. Virtual laboratories can break down the barriers of time and place for skill acquisition among learners. They offer access to laboratories or clinical equipment at a lower cost. Hypotheses: This study aimed to set up a digital ecosystem (VirtuLab) where instructors can create customized interactive simulators for medical students. We hypothesized that VirtuLab can motivate students and help them improve technical skills through steps. Methods: To compare the traditional teaching method (physical testing and working with real-life devices) and the virtual method (using a simulator), we initially created a graphic, virtual environment with the help of computer software and programming languages. We defined a simulated device that can help medical students (interns and externs) learn four different defibrillator applications (AED MODE, CARDIOVERSION, DC SHOCK, and PACEMAKER) virtually. After completing the virtual experiment, participants were invited to provide feedback for better performance. Then, using a questionnaire, users' opinions and scores were collected, and statistical comparisons were performed to determine the effectiveness of the virtual laboratory. Results: Our findings showed that the time spent on each step, the total number of clicks, and the number of mistakes (failed clicks) had decreased significantly from the initial steps to the last one. The feedback obtained from the learners showed that VirtuLab has made the educational content understandable and tangible for 93% of them. Also, 87% of participants expressed their satisfaction with the simulator and found it motivating. Conclusion: The times recorded by users during the steps indicated that with the help of a virtual simulator, learners' time and mistakes were significantly reduced through steps. With VirtuLab, it was possible to repeatedly learn and test different options without additional cost and improve practical skills in a series of steps. Besides, it was an appealing environment to up motivation, confidence, and effective learning in users.

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Section: Discussionmentioning

confidence: 99%

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

Khorasani

Nour²,

Pisheh³

et al. 2022

JAMMR

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show abstract

“…Martins and others presented the "Smart Ecosystem for Learning and Inclusion" project that would make a generalized inclusion approach considering the entire diversity of disabilities (V. F. Martins et al, 2020). This project is a technical and pedagogical hub with a variety of tools and services to assist teachers in their roles of guidance, mentorship, and creativity, as well as students in their roles of information searching, construction, and learning.…”

Section: Higher Education Accessibilitymentioning

confidence: 99%

“…A team from INESC-TEC and Universidade de Trásos-Montes e Alto Douro (UTAD) found the absolute necessity to provide sign language translation for deaf students [15] and stress the need to recognize Portuguese Sign Language (PSL) as a paralinguistic element that is vital to sustain the speaker's expressiveness, and the receiver's point of view and also the communication context. Sign languages are an entire community native language just as any other language or dialect.…”

Section: Assistive Technology For People With Hearing Disabilitiesmentioning

confidence: 99%

Inclusive Intelligent Learning Management System Framework

Sotto-Mayor Machado,

Santos

2023

Int. J. Autom. Smart

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The article finds context and the current state of the art in a systematic literature review on intelligent systems employing PRISMA Methodology which is complemented with narrative literature review on disabilities, digital accessibility and legal and standards context. The main conclusion from this review was the existing gap between the available knowledge, standards, and law and what is put into practice in higher education institutions in Portugal. Design Science Research Methodology was applied to output an Inclusive Intelligent Learning Management System Framework aiming to help higher education professors to share accessible pedagogic content and deliver on-line and presential classes with a high level of accessibility for students with different types of disabilities, assessing the uploaded content with Web content Accessibility Guidelines 3.0, clustering students according to their profile, conscient feedback and emotional assessment during content consumption, applying predictive models and signaling students at risk of failing classes according to study habits and finally applying a recommender system. The framework was validated by a focus group to which experts in digital accessibility, information systems and a disabled PhD graduate.

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“…Martins et al [17] feature a digital ecosystem architecture called Smart Ecosystem for Learning and Inclusion (SELI) which is being developed by people of ten different nationalities. The work aims to provide an accessible learning environment involving technologies such as Blockchain, microsites, and universal accessibility guidelines.…”

Section: After Applying the Exclusion And Inclusion Criteria Four Int...mentioning

confidence: 99%

A framework for designing applications to support knowledge construction on learning ecosystems

Silveira¹,

Cury²,

Menezes³

2022

IxD&A

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We are building a society increasingly immersed in digital contexts. In this transformation process, mainly because of the daily use of technology, several contexts of our lives are changing, including education and the school itself, which have especially received IT support to be carried out in an informal and personalized way. Learning ecosystems, if properly promoted, could be a partner of this school. In this paper, we propose a Framework to support the modeling of Smart Learning Environments (SLE) capable of stimulating interactions (including location-based interactions) in the diverse ecosystems in which we participate and thus support the construction of knowledge. We also present some SLEs designed with the Framework to demonstrate the practical result of its use and others for validation purposes.

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A Smart Ecosystem for Learning and Inclusion: An Architectural Overview

Cited by 9 publications

References 35 publications

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

A Virtual Laboratory Ecosystem in Medical Education: Effectiveness of Simulations Made by Instructor

Inclusive Intelligent Learning Management System Framework

A framework for designing applications to support knowledge construction on learning ecosystems

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