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- Learning analytics in practice: development and implementation of a support system to the management of the teaching activityPublication . Ferreira, Sérgio André; Andrade, AntónioThe use of technological platforms based online has become increasingly important in the formative activity of higher education. In this context, by its almost universal use in educational institutions, the LCMS (Learning Content Management Systems) stand out. From the activity of students and teachers in these platforms a huge amount of data ends up being recorded, with great potential for management, which are not used. The idea of the Learning Analytics is related to the organization and analysis of these data, transforming them into intelligible information so that people and bodies of Institutions of Higher Education (IHE) can control actions and make more informed decisions, in terms of the adoption strategy of LCMS and the discovery of patterns that enable statistical inferences The Learning Analytics in education is in its infancy at the theoretical level, which is reflected in the difficulty in maintaining a stable discourse, and, even more evident on the practical level of development and use of these systems. This paper presents the results of the work of design, development and operationalization of a Learning Analytics system to assess the integration of the LCMS in the teaching and learning process in higher education. The proposed system combines the reading of data from two sources: from the automated reporting platform and from a scale applied to students. As a methodological approach to the subject the Design Science Research Process model was followed. The results achieved were reflected in a backoffice of the extraction and analysis system within the LCMS and in the development and validation of a scale to assess the integration of the LCMS in the formative process in higher education. In this paper the operation of this system is done in a real context in a face to face Curricular Unit (CU) for the first semester 2013-2014, at the Universidade Católica Portuguesa - Porto. The results indicate that this system, when crossing data from two sources, has the potential to allow the process of decision making to be more informed by teachers or leaders of the educational institution, opening new possibilities in the field of pedagogy and organizational efficiency
- Academic analytics na prática: agregar e analisar múltiplas fontes de dadosPublication . Ferreira, Sérgio André; Andrade, António Manuel Valente deAs instituições do ensino superior (IES) utilizam diversos subsistemas tecnológicos para gestão das várias dimensões da vida da organização, que recolhem um imenso volume de dados proveniente desses subsistemas, mas que não comunicam entre si. A ideia do Analytics na Educação alicerça-se no potencial da utilização agregada destes dados para o processo de tomada de decisão e no desenvolvimento de novos modelos na gestão. Partindo-se do caso da realidade da Universidade Católica Portuguesa – Porto, apresentam-se a arquitetura e os resultados alcançados no desenvolvimento de um protótipo de Academic Analytics, para a gestão da atividade de ensino na instituição, que agrega dados de três subsistemas tecnológicos. Deste trabalho resultam três contributos principais: i) Teórico – O Analytics na Educação é um tema novo e em rápida ascensão, sendo, por isso, difícil manter um discurso estável na defi nição de conceitos e descrição de processos. Neste quadro, apresenta-se uma refl exão sobre as principais questões discutidas e são colocados em relação os conceitos mais relevantes; ii) Metodológico – A fundamentação e aplicação do modelo Design Science Research Process (DSRP), que, apesar da sua versatilidade no campo da apresentação de artefactos, ainda tem pouca expressão no campo dos Sistemas da Informação (SI) aplicados às Ciências Sociais e Humanas; iii) Prático – Apresentação do protótipo de um sistema de Academic Analytics.
- Academic analytics: anatomy of an exploratory essayPublication . Ferreira, Sérgio André; Andrade, AntónioInvestment in technological subsystems to support the activity of teaching and learning and the various areas of the life of Higher Education Institutions (HEI) is of increasing importance in the implementation of the policy and strategy of these organizations. Each of these subsystems collects a huge amount of data that, if properly organized, can provide useful information for decision making and informed action, which results in the need to articulate the strategic vision with Information Systems. This study aims to identify the technological requirements and understand the technical difficulties in accessing data sources of different technological subsystems in order to facilitate dialogue between the departments which hold the data to build a future Academic Analytics in a HEI. To achieve these goals a prototype was conceived which involved the aggregation, cleansing and standardization of data sources and resulted in a database that integrates records from three data sources—the LCMS (Learning Content Management System), academic management services and quality management services. This prototype allows reports and analysis to be made. Future studies for the development and implementation of Academic Analytics that can produce information to support decision making and control of the HEI’s activity are also possible.