Discussion
Ros, Salvador and Lázaro, Juan Carlos and Robles-Gómez, Antonio and Caminero, Agustín C. and Tobarra, Llanos and Pastor, Rafael (2017) Analyzing Content Structure and Moodle Milestone to Classify Student Learning Behavior in a Basic Desktop Tools Course. In: Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality.
Full text not available from this repository.Abstract
This paper analyzes the content structure and Moodle milestone to classify the students' learning behavior for a basic desktop-tools on-line virtual course. The data collection phase is completed for a Learning Analytics (LA) process as a first step; by using the generated interactions among students, and with learning resources, assessments, and so on. A first exploratory data analysis study is also done with the extracted indicators (or features) of all interactions to classify them in five traits. A multidimensional parameter reduction has been implemented based on Principal Component Analysis (PCA), an example of it is also given.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Uncontrolled Keywords: | Exploratory Data Analysis (EDA), Indicators, Learning Analytics (LA), Moodle, Principal Component Analysis (PCA) |
| Depositing User: | Elizabeth Dalton |
| Date Deposited: | 16 Dec 2019 23:40 |
| Last Modified: | 16 Dec 2019 23:40 |
| URI: | http://research.moodle.org/id/eprint/378 |
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