Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/26672
Title: | A preliminary proposal of a conceptual Educational Data Mining framework for Science Education: Scientific competences development and self-regulated learning |
Author: | Tavares, Rita Vieira, Rui Marques Pedro, Luís |
Keywords: | Educational Data Mining Latent Knowledge Estimation Causal Data Mining Domain Structure Discovery Digital Educational Resources Scientific Competences Selfregulated Learning |
Issue Date: | 2017 |
Publisher: | IEEE |
Abstract: | The present paper is part of a wider study, focussed on the development of a digital educational resource for Science Education in primary school, integrating an Educational Data Mining framework. The proposed conceptual framework aims to infer the impact of the adopted learning approach for the development of scientific competences and students’ self-regulated learning. Thus, students’ exploration of learning sequences and students' behaviour towards available help, formative feedback and recommendations will be analysed. The framework derives from the proposed learning approach, as well as from the literature review. Before introducing it, the authors present an overview of the digital educational resource learning approach and the adopted Educational Data Mining methods. Finally, we present the proposed conceptual Educational Data Mining framework for Science Education, focussing its relevance on the development of students' scientific competences and self-regulated learning. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/26672 |
DOI: | 10.1109/SIIE.2017.8259644 |
ISBN: | 978-1-5386-0649-0 |
Publisher Version: | https://ieeexplore.ieee.org/document/8259644 |
Appears in Collections: | CIDTFF - Capítulo de livro |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tavares_etal_2017_IEEE.pdf | 244.94 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.