Hamidreza Rostami; Shaban Elahi; Ali Moeini; Alireza Hassanzadeh
Abstract
Purpose: The research is intended to extract repetitive themes in the field of semantic-rich learning and to express the basic opportunities and challenges therein.Method: The method applied was to review the articles published in the WOS database, during the years 2000 to 2020 by using the paradigm ...
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Purpose: The research is intended to extract repetitive themes in the field of semantic-rich learning and to express the basic opportunities and challenges therein.Method: The method applied was to review the articles published in the WOS database, during the years 2000 to 2020 by using the paradigm funnel technique; moreover the Nvivo software was used for document analysis and theme extraction.Findings: In the study, it was found that establishing access to appropriate educational content, proper analysis and representation of knowledge, human capabilities enhancement, personalization of learning, and improving the quality of assessment, are the most important positive effects of using STs in learning; Also, in this study, nine themes and seven major challenges in the field of semantic-rich learning were identified.Conclusion: personalization and adaptation, and the development of various ontologies, are the most cited themes; and access to learning content and concerns about the design and development of learning systems are the most important challenges facing semantic-rich learning environments. We believe that in order to overcome the enumerated challenges, the combination of STs with other emerging cognitive and communication technologies, such as IoT, is necessary and could be the subject of future research in this field.
hamidreza rostami; shaban elahi; Alireza Hassanzadeh; Ali Moeini
Abstract
By presenting the possibility of automatic reasoning by machines, semantic technology provides a new method for managing data and utilizing artificial intelligence based on formal and explicit patterns; emergence of these technologies in e-learning has enabled the development of next-generation learning ...
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By presenting the possibility of automatic reasoning by machines, semantic technology provides a new method for managing data and utilizing artificial intelligence based on formal and explicit patterns; emergence of these technologies in e-learning has enabled the development of next-generation learning and has created semantic-rich learning environments; So that, some researchers refer to this phenomenon as the next big wave in educational technologies. Despite the undeniable importance of this phenomenon and the many studies that have been done on semantic-rich learning environments, there is no combined knowledge that can demonstrate the evolved nature of these environments and related theories. the research, with the aim of extracting repetitive themes in the field of semantic-rich learning and expressing the basic opportunities and challenges in this field, systematically reviews the articles published in the WOS database, during the years 2000 to 2020 using the paradigm funnel technique; and has used Nvivo software in document analysis and theme extraction.