Adoption of business strategies to provide analytical systems for teachers in the context of universities
| Autor: | Jordi Conesa, Isabel Guitart |
|---|---|
| Přispěvatelé: | Universitat Oberta de Catalunya (UOC) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Knowledge management
Process (engineering) Computer science Teaching method media_common.quotation_subject eines del professor Context (language use) ambiente de aprendizaje virtual Web-based instruction Enseñanza virtual business intelligence qualitat Education analítica analytics Quality (business) Set (psychology) media_common virtual learning environment business.industry General Engineering calidad teacher tools herramientas del profesor Ensenyament virtual Analytics quality Business intelligence Virtual learning environment business entorn d'aprenentatge virtual |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname O2, repositorio institucional de la UOC Universitat Oberta de Catalunya (UOC) |
| Popis: | Competitive organizations have implemented systems of business intelligence in order to help employees in the process of evidence-based decision-making. Using these systems in university will provide a set of analytical tools that support decision-making of academics focused to the improvement of their research and teaching activities. In the case of teachers, for example, it may help to better understand students, how they learn and how to improve the learning processes according to evidences. To implement these systems efficiently it is necessary to gather data about the activities students and teachers perform during the learning-teaching process. Currently, most universities provide virtual learning environments (VLE) where students perform most of their learning activities. These environments may store data about the interaction of their users and, therefore, gather information of all the agents during the teaching-learning process. Our proposal is to adopt the strategies of business intelligence, which resulted useful in organizations, to universities. By applying analytic techniques on the large volume of data stored in the VLE, we propose to build dashboards for teachers and academic program managers in order to help them to take decisions that improve teaching in the short, medium and long term. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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