Academic Analytics in practice: Aggregate and analyse multiple data sources

• Autor(a) principal: Ferreira, Sérgio André
• Data de Publicação: 2013
• Outros Autores: Andrade, António Manuel Valente de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://doi.org/10.34632/investigacaoeducacional.2013.3396

Higher education institutions (HEIs) use several technological subsystems for the management of multiple aspects of the organization, which collect a huge amount of data from these subsystems, but which do not communicate with each other. The idea of the Analytics in Education is based on the possibility of using this data in an aggregated way in the process of decision making and the development of new models in management. Using the reality of the Universidade Católica Portuguesa – Porto as a starting point, we present the architecture and the results achieved in the development of a prototype of Academic Analytics, for the management of teaching activity at the institution, which aggregates data from three technological subsystems. Three main contributions resulted from this study: i) Theoretical – Analytics in Education is a new theme with rapid rising interest, and therefore it is difficult to maintain a stable discourse when defining concepts and describing processes. In this context, we present a reflection on the main issues discussed and list the most relevant concepts; ii) Methodology – The rationale and application of the Model Design Science Research Process (DSRP), which, despite its versatility in the field of presentation of artifacts, still has little importance in the field of Information Systems (IS) applied to Social and Human Sciences; iii) Practical – Presentation of a prototype of an Academic Analytics system.