This work addresses accesses to a collection of simulators, in topics of three engineering curricula, belonging to a collection of Open Educational Resources (OER) on a repository in Brazil. The simulators are initially implemented in Portuguese and then translated into English and Spanish. By May.31.2024 there 22 simulators in English, 22 in Spanish and 43 in Portuguese. The simulators are accessed from many countries. The repository offers tools to record and store access data by OER, country, month and year. These data are analyzed to understand the patterns of accesses considering the languages that are spoken in the countries where the accesses originated. Since the simulators are indexed on a well known union catalog of learning materials, international visibility is achieved, but the patterns vary according to the languages. Data on accesses were organized into a dataset that is in Open Access and is used as a basis for the analysis; data on the dataset are computed until 31.May.2024. The work tries to understand and explain the patterns, and suggests how it can be extended and improved.

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Assessing the Patterns of Accesses to Simulator Objects in English, Portuguese and Spanish

  • Ana M. B. Pavani

摘要

This work addresses accesses to a collection of simulators, in topics of three engineering curricula, belonging to a collection of Open Educational Resources (OER) on a repository in Brazil. The simulators are initially implemented in Portuguese and then translated into English and Spanish. By May.31.2024 there 22 simulators in English, 22 in Spanish and 43 in Portuguese. The simulators are accessed from many countries. The repository offers tools to record and store access data by OER, country, month and year. These data are analyzed to understand the patterns of accesses considering the languages that are spoken in the countries where the accesses originated. Since the simulators are indexed on a well known union catalog of learning materials, international visibility is achieved, but the patterns vary according to the languages. Data on accesses were organized into a dataset that is in Open Access and is used as a basis for the analysis; data on the dataset are computed until 31.May.2024. The work tries to understand and explain the patterns, and suggests how it can be extended and improved.