计算机科学
步伐
语义网
社交语义网
本体论
万维网
数据科学
知识管理
哲学
大地测量学
认识论
地理
作者
Bin Hu,Akshat Gaurav,Chang Choi,Ammar Almomani
出处
期刊:International Journal on Semantic Web and Information Systems
[IGI Global]
日期:2022-05-06
卷期号:18 (1): 1-14
被引量:22
标识
DOI:10.4018/ijswis.302895
摘要
Educators have been calling for reform for a decade. Recent technical breakthroughs have led to various improvements in the semantic web-based education system. After last year's COVID-19 outbreak, development quickened. Many countries and educational systems now concentrate on providing students with online education, which differs greatly from traditional classroom education. Online education allows students to learn at their own pace and the system. As a consequence, we may say that education has become more dynamic. In the educational system, this changing nature makes user demands difficult to identify. Many instructors suggest using machine learning, artificial intelligence, or ontology to improve traditional teaching methods. Due to the lack of survey studies examining and comparing all of the researcher's semantic web-based teaching methodologies, we decided to conduct this survey. This paper's goal is to analyse all available possibilities for semantic web-based education systems that enable new researchers to develop their knowledge.
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