Collaborative System for Learning Based on Questionnaires and Tasks
Autor: | Alejandro Moreo Fernández, Manuel Romero Cantal, Juan Luis Castro Peña |
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Rok vydání: | 2014 |
Předmět: | |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319018539 SOCO-CISIS-ICEUTE |
DOI: | 10.1007/978-3-319-01854-6_64 |
Popis: | Virtual Learning Environments allow to improve the learning interactivity in a collaborative scenario where the learning contents are proposed and accessed by both learners and teachers. In this work, we present CSLQT, a new Collaborative System for Learning based on Questionnaires and Tasks. This system is independent of any course structure or content, and provide users with functionalities to create, review, and evaluate new knowledge resources through questions and tasks. The benefits are two-fold: teachers are released from the tedious task of creating all resources, and students are encouraged to gain the necessary knowledge background before creating any new content. Additionally, a Fuzzy controller generates exams satisfying a customized set of objectives, that could be used for evaluation or auto-evaluation purposes. Our experiences with the system in real courses of the University of Granada indicate the tool is actually useful to improve the learning process. |
Databáze: | OpenAIRE |
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