| Autor: |
Ivelina Nikolova, Darina Dicheva, Galia Angelova, Christo Dichev, Darin Madzharov, Gennady Agre, Zhivko Angelov |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
Innovative Approaches and Solutions in Advanced Intelligent Systems ISBN: 9783319322063 |
| DOI: |
10.1007/978-3-319-32207-0_8 |
| Popis: |
As part of the EC FP7 project “AComIn: Advanced Computing for Innovation”, which focuses on transferring innovative technologies to Bulgaria, we have applied educational data mining to the most popular Bulgarian K-12 educational web portal, UCHA.SE. UCHA.SE offers interactive instructional materials—videos and practice exercises—for all K-12 subjects that can be used in schools and for self-learning. Currently it offers more than 4,150 videos in 17 subjects and more than 1,000 exercises. The goal of the project is to study how educational data mining can be used to improve the quality of the educational services and revenue generation for UCHA.SE. In this paper we describe the conducted study and outline the machine learning methods used for mining the log data of the portal as well as the problems we faced. We then discuss the obtained results and propose measures for enhancing the learning experiences offered by UCHA.SE. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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