LAOps: Learning Analytics with Privacy-aware MLOps

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

1 Lataukset (Pure)


The intake of computer science faculty has rapidly increased with simultaneous reductions to course personnel. Presently, the economy is recovering slightly, and students are entering the working life already during their studies. These reasons have fortified demands for flexibility to keep the target graduation time the same as before, even shorten it. Required flexibility is created by increasing distance learning and MOOCs, which challenges students’ self-regulation skills. Teaching methods and systems need to evolve to support students’ progress. At the curriculum design level, such learning analytics tools have already been taken into use. This position paper outlines a next-generation, course-scope analytics tool that utilises data from both the learning management system and Gitlab, which works here as a channel of student submissions. Gitlab provides GitOps, and GitOps will be enhanced with machine learning, thereby transforming as MLOps. MLOps that performs learning analytics, is called here LAOps. For analysis, data is copied to the cloud, and for that, it must be properly protected, after which models are trained and analyses performed. The results are provided to both teachers and students and utilised for personalisation and differentiation of exercises based on students’ skill level.

OtsikkoProceedings of the 14th International Conference on Computer Supported Education - Volume 2, CSEDU 2022
ToimittajatMutlu Cukurova, Nikol Rummel, Denis Gillet, Bruce McLaren, James Uhomoibhi
KustantajaScience and Technology Publications (SciTePress)
ISBN (elektroninen)978-989-758-562-3
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Computer Supported Education, CSEDU - Virtual, Online
Kesto: 22 huhtik. 202224 huhtik. 2022


NimiInternational Conference on Computer Supported Education, CSEDU - Proceedings
ISSN (elektroninen)2184-5026


ConferenceInternational Conference on Computer Supported Education, CSEDU
KaupunkiVirtual, Online


  • Jufo-taso 0

!!ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems


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