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Algorithm and Software Tool for Multiple LMS Users Registering

  • Conference paper
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The Challenges of the Digital Transformation in Education (ICL 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 916))

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Abstract

Learning Management Systems (LMS) administrator periodically deals with big users number registering. Manual registering is monotonous but may not be assigned to low skilled staff, because such employees must have administrator’s rights. It entails possible LMS non-working condition, causes risk of strangers access and increases probability of e-learning courses author’s rights violation. Administrator’s dull work may be minimized, if to use data, entered at applicants enrollment in any files, prepared manually or exported from software applications. So, it’s necessary to develop the template, where to define formation order of significant information components about users, which must be registered; to develop software tool, which will read data from source files and will form text files, ready for import by LMS accordingly to template; to convert data using software tool and to import obtained files into LMS.

In this paper proposed algorithm and software tool, which allowed to automate registering more than 6400 LMS users at once. Further specified software tool often used to minimize LMS users registering time (650–700 people at once). It’s especially actual at the studying year start, before exam sessions, training groups formation, etc. It allows to import text files and creates output text files in format, necessary for importing into LMS. Developed software tool may be easily modified for different input data formats and languages and close tasks solving in different educational institutions.

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References

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Correspondence to Vladlen Shapo .

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Shapo, V. (2020). Algorithm and Software Tool for Multiple LMS Users Registering. In: Auer, M., Tsiatsos, T. (eds) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-11932-4_10

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