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• W4319156937 abstract "MOOCs can be considered as a powerful alternative in extraordinary situations where people cannot reach formal education. In recent years, the widespread use of the internet worldwide and especially the CoVID-19 has increased the need of people for MOOCs. However, in order to increase the effectiveness of MOOCs, and to provide a better learning environment, the need to evaluate MOOCs has arisen. One of the indicators of quality in online learning is student satisfaction. Accordingly, this research aims to reveal learner satisfaction in MOOCs. The most important indicator for measuring this satisfaction in MOOCs is user comments. In this study, 39101 comments of the participants in 960 MOOCs were examined by using text mining techniques within the framework of satisfaction." @default.
• W4319156937 created "2023-02-04" @default.
• W4319156937 creator A5037615974 @default.
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• W4319156937 date "2022-01-01" @default.
• W4319156937 modified "2023-09-25" @default.
• W4319156937 title "Gaining an Insight into Learner Satisfaction in MOOCs: An Investigation through Blog Mining" @default.
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• W4319156937 doi "https://doi.org/10.55982/openpraxis.14.3.490" @default.
• W4319156937 hasPublicationYear "2022" @default.
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