Participation in Asynchronous Online Forums for Prediction of Learning Performance
| العنوان: | Participation in Asynchronous Online Forums for Prediction of Learning Performance |
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| المؤلفون: | Manuel Fernández-Veiga, M. E. Sousa-Vieira, O. Ferreira-Pires, José-Carlos López-Ardao |
| المصدر: | Communications in Computer and Information Science ISBN: 9783030864385 CSEDU (Selected Papers) |
| بيانات النشر: | Springer International Publishing, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Data source, Computer science, Asynchronous communication, business.industry, Online learning, Learning analytics, Graph (abstract data type), Artificial intelligence, Machine learning, computer.software_genre, business, computer, Social network analysis |
| الوصف: | The activity of students in online forums within an online learning platform is readily captured as a directed network graph whose structural and dynamic properties can be used to anticipate with good accuracy their level of performance in the future. In this chapter, we present and analyze a case study for this claim. Our data source is a complete record of the activity of students in forums, collected over two successive academic years of a computer networks course at the undergraduate level. We analyze these data with several social network analysis and machine learning algorithms, and identify as a result the best combination of features extracted from the graph for predicting the success or failure for individual students. The techniques are not computationally expensive, and can be used over a reduced dataset for having early estimates. |
| ردمك: | 978-3-030-86438-5 |
| DOI: | 10.1007/978-3-030-86439-2_6 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::50c07eee917982545e33217d40c040fb https://doi.org/10.1007/978-3-030-86439-2_6 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........50c07eee917982545e33217d40c040fb |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030864385 |
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| DOI: | 10.1007/978-3-030-86439-2_6 |