Integration of Open Educational Resources Using Semantic Platform

Duran, Cristal Galindo; Ramírez, Carolina Medina

doi:10.1109/access.2021.3092315

Cited by 10 publications

(3 citation statements)

References 16 publications

(24 reference statements)

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“…The structure of the big data-based intelligence platform is divided into seven layers: physical layer, virtual layer, process layer, presentation layer, application layer, layer, and user layer [20]. Its detailed structure is shown in Figure 1 [21].…”

Section: Design Of Educational Intelligence Platform Based On Big Datamentioning

confidence: 99%

Application of Data Mining Model in Smart Chemistry Education

Fei¹

2022

Wireless Communications and Mobile Computing

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In order to solve the problem that the activities of teachers and students in traditional teaching methods are constrained by lesson plans, the teaching methods are aging, and they do not have the ability to expand students’ learning through big data; due to the problem of low self-learning and extracurricular communication ability of students after class, the author proposes the application of a data mining model in smart chemistry education. The author designs an educational wisdom platform based on big data, and its overall structure includes physical layer, virtual resource layer, logic layer, presentation layer, application layer, network layer, and user layer; the big data center module in the platform collects all business data through devices such as networks and sensors and stores the business data in mass data storage devices; the software design part uses the multi-feature fusion acquisition algorithm to collect student data and completes the early warning of student performance through the performance early warning algorithm based on correlation analysis technology. The results showed that only 5.15% and 4.49% of the students who designed the platform could not improve their after-class autonomous learning and extracurricular communication skills, and more than 95% of the students had good feedback after using the platform. Conclusion. It shows that the design platform can effectively improve the students’ ability of self-learning and extracurricular communication after class, and the application efficiency is high.

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Section: Design Of Educational Intelligence Platform Based On Big Datamentioning

confidence: 99%

Application of Data Mining Model in Smart Chemistry Education

Fei¹

2022

Wireless Communications and Mobile Computing

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“…Haiyan (2022) built a platform focused on smart education using network infrastructure, aimed at different types of schools and educational institutions. Duran and Ramirez (2021) created and validated the MIIDAS platform, an OER focused on being a repository where teachers can find and publish different educational resources. Huang (2021) designed a web platform aimed at teaching the English language.…”

Section: Educative Platformsmentioning

confidence: 99%

Enhancing STEAM education through augmented reality: the EduAR open platform experience

Velarde-Camaqui,

Celaya-Ramírez,

Contreras-Fuentes

et al. 2024

Front. Educ.

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Quality education is pivotal for fostering innovation and development, with Augmented Reality (AR) offering transformative learning experiences. The absence of open-access platforms for AR resources hinders the democratization of educational technology. This study introduces EduAR, an open-access platform designed to provide validated AR resources for STEAM education, aiming to enhance learning processes and promote equitable access to quality education. Employing a mixed-methods approach, the platform’s usability was assessed using the System Usability Scale (SUS), where it achieved a high usability score, highlighting its user-friendliness and effectiveness. Additionally, qualitative feedback through focus groups provided insights into the platform’s impact on learning engagement and skill development. The study yielded the following findings: (a) Incorporating AR in STEAM disciplines through an open validated platform is an effective strategy for enriching learning and teaching processes; (b) The EduAR platform allows effective adoption due to its high usability and accessibility; (c) Design-Based Research is useful when looking to improve an AR educational platform; (d) EduAR is a valuable tool for providing equitable access to quality educational resources; and (e) EduAR promotes problem-solving and critical thinking among students. This comprehensive research underscores the potential of EduAR in enhancing educational outcomes, establishing a solid foundation for future advancements in educational technology and open educational resources (OER). Its benefit is foreseen for both teachers and researchers interested in the implementation of AR in courses within the framework of openness.

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“…With the rapid development of the education industry, especially in the field of vocational education, how to effectively develop and manage educational resources to promote students' learning migration has become an important issue [1][2][3]. As an important part of vocational education, the construction of a resource development and management system of higher vocational education (SVE) is of great significance to improve the quality of education and cultivate highly skilled talents [4][5].…”

Section: Introductionmentioning

confidence: 99%

Research on Development of Higher Vocational Education Resources and Construction of Management System under Learning Migration Theory

Wei

2024

Applied Mathematics and Nonlinear Sciences

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This paper discusses how to construct a higher vocational education resource development and management system under the framework of learning transfer theory in order to improve the utilization efficiency of educational resources and the quality of education. This study explores how to effectively develop and manage higher vocational education resources under the guidance of learning transfer theory. This paper constructs a new resource management framework for higher vocational education by adopting the statistical and geometric migration criterion. The study results show that the utilization efficiency of higher vocational education resources is significantly improved through the transfer learning algorithm, for example, the matching degree of learning resources is increased by 30% and the teaching effect is enhanced by 20% after applying the transfer learning method. In addition, student learning effectiveness increased by 25% by implementing an improved learning migration framework. The study’s conclusion points out that the development and management of higher vocational education resources can be effectively optimized through the rational use of transfer learning theory, thus improving the quality and efficiency of teaching.

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Integration of Open Educational Resources Using Semantic Platform

Cited by 10 publications

References 16 publications

Application of Data Mining Model in Smart Chemistry Education

Application of Data Mining Model in Smart Chemistry Education

Enhancing STEAM education through augmented reality: the EduAR open platform experience

Research on Development of Higher Vocational Education Resources and Construction of Management System under Learning Migration Theory

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