Using Visualizations to Improve Assessment in Blended Learning Environments
| Autor: | Mikel Villamañe, Mikel Larrañaga, Oscar Hernández-Rivas, Jessica Caballero, Ainhoa Álvarez |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science Process (engineering) 02 engineering and technology Blended learning 020901 industrial engineering & automation Analytics Human–computer interaction 020204 information systems Face (geometry) 0202 electrical engineering electronic engineering information engineering business Visual learning |
| Zdroj: | TEEM |
| Popis: | A good assessment process entails analyzing students' results in order to detect anomalies and be able to provide adequate feedback to solve them. The analysis of the results becomes harder when the amount of information and its heterogeneity increases. Current education tendencies (for example blended learning), face this kind of problem as they have to deal with a lot of information from many different sources. In this paper, we present a system that helps lecturers to integrate information from different sources and to perform an analysis of the data through the use of visual learning analytics techniques. The acceptance of the system has been satisfactorily evaluated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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