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Toward Learning Analytics in a Distributed Learning Environment

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Proceedings of Eighth International Congress on Information and Communication Technology (ICICT 2023)

Abstract

The learning and teaching process are widely supported by various virtual learning environments (VLE), often combined in a distributed learning environment. The distributed approach offers learning at scale, making use of a range of available technologies. The nature of distributed learning environment offers various potentials for learning analytics as well as various challenges since data on student activities and achievements are distributed. In this paper, we examine how to empower student activity and achievement by using data collected in the LMS with data collected in other parts of the distributed learning environment with the aim of improvement for learning analytics and learning design. This study takes the first step towards an integrated approach by investigating a case of one course, Information systems development taught at the University of Zagreb. The course was taught by using Moodle learning management system combined with YouTube videos and Oracle Apex environment. Research is focused on the patterns in students’ behavior on Moodle for the specific groups of resources and activities related to the Oracle Apex, some of which are created on YouTube. Research results indicate great potential in integrating multi-sources of e-learning data. One of the main issues remains data integration with Oracle Apex and the application of integrated data for the development of predictive models, which will be investigated in future work.

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Acknowledgements

The authors would like to acknowledge the support given by the European Commission through the Action Erasmus + Better Employability for Everyone with APEX (project ID 2021-1-SI01-KA220-HED-000032218), co-funded by the Erasmus+ programme of the European Union. The European Commission support for the production of this publication does not constitute endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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Correspondence to Dijana Oreski .

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Oreski, D., Strahonja, V., Androcec, D. (2023). Toward Learning Analytics in a Distributed Learning Environment. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-99-3091-3_16

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  • DOI: https://doi.org/10.1007/978-981-99-3091-3_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3090-6

  • Online ISBN: 978-981-99-3091-3

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