Ayub, Mewati (2007) Proses Data Mining dalam Sistem Pembelajaran Berbantuan Komputer. Jurnal Sistem Informasi, 2 (1). pp. 21-30. ISSN 1907-1221
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Abstract
Web-based educational systems and intelligent tutoring systems collect large amounts of students data, from web logs to student models. Data mining applications on those data can help discovering relevant knowledge for improving computer aided learning system. Using the knowledge, teacher can understand more about how students learn by studying a group of students in order to enhance teaching and learning. In this paper, data mining process will be separated into data collection, data transformation, and data analysis. Association rules, classification, and clustering are data mining algorithms that explored in data analysis for computer aided learning systems.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | data mining, computer aided learning system, knowledge |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Perpustakaan Maranatha |
| Date Deposited: | 14 Jun 2019 02:59 |
| Last Modified: | 26 Oct 2021 22:47 |
| URI: | http://repository.maranatha.edu/id/eprint/26755 |
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