دانشگاه علامه طباطبایی

  اخبار و اعلانات

 آمار

تعداد نشریات57
تعداد شماره‌ها1,930
تعداد مقالات15,348
تعداد مشاهده مقاله35,747,138
تعداد دریافت فایل اصل مقاله21,721,807
Rostami, Hamidreza, Elahi, Shaban, Moeini, Ali, Hassanzadeh, Alireza. (1399). The Semantically Rich Learning Environments: A Systematic Literature Review. سامانه مدیریت نشریات علمی, 2(2), 99-125. doi: 10.22054/dcm.2021.13067
Hamidreza Rostami; Shaban Elahi; Ali Moeini; Alireza Hassanzadeh. "The Semantically Rich Learning Environments: A Systematic Literature Review". سامانه مدیریت نشریات علمی, 2, 2, 1399, 99-125. doi: 10.22054/dcm.2021.13067
Rostami, Hamidreza, Elahi, Shaban, Moeini, Ali, Hassanzadeh, Alireza. (1399). 'The Semantically Rich Learning Environments: A Systematic Literature Review', سامانه مدیریت نشریات علمی, 2(2), pp. 99-125. doi: 10.22054/dcm.2021.13067
Rostami, Hamidreza, Elahi, Shaban, Moeini, Ali, Hassanzadeh, Alireza. The Semantically Rich Learning Environments: A Systematic Literature Review. سامانه مدیریت نشریات علمی, 1399; 2(2): 99-125. doi: 10.22054/dcm.2021.13067

The Semantically Rich Learning Environments: A Systematic Literature Review

International Journal of Digital Content Management
مقاله 7، دوره 2، شماره 2، فروردین 2021، صفحه 99-125    اصل مقاله (738.19 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22054/dcm.2021.13067
نویسندگان
Hamidreza Rostami* 1؛ Shaban Elahi1؛ Ali Moeini1؛ Alireza Hassanzadeh2
1Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran
2Department of Information Technology Management, Tarbiat Modares **** University, Tehran, Iran
چکیده
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.
کلیدواژه‌ها
Semantic technology؛ e-Learning؛ Educational semantic technology؛ Semantic Web؛ Ontology
آمار
تعداد مشاهده مقاله: 315
تعداد دریافت فایل اصل مقاله: 319


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب
login