Review of eQETIC model based on academic analytics
Tipo
Artigo de evento
Data de publicação
2017
Periódico
ACM International Conference Proceeding Series
Citações (Scopus)
0
Autores
Rossi R.
Notargiacomo P.
Hirama K.
Notargiacomo P.
Hirama K.
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Membros da banca
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Resumo
© 2017 Association for Computing Machinery.The avalanche of data of many types generated at high speed proposes nowadays a new scenario nominated Big Data. These data generated by many types of systems, such as commercial systems, financial systems, and even systems involving areas such as healthcare and education need to be analyzed to favor decision making. In this sense, specific techniques and technologies can be used together to establish Analytics, a special term used for data analysis. Generally called Analytics, specifications such as Business Analytics, Learning Analytics, or Academic Analytics can be identified. In this way, this research addresses the relationship between the concepts of Academic Analytics and a specific model for the management and operation of digital solutions in the educational area called eQETIC. Analyzing the practices proposed by the model and the concepts, it is possible to identify, in a non-quantitative way, that the model favors the activities of data management and data analysis; consequently it is also favor the implementation of Academic Analytics.
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Assuntos Scopus
Academic Analytics , Business analytics , Commercial systems , Digital solutions , Educational area , Financial system , Learning analytics , Model-based OPC