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TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260421T090514Z
LOCATION:Bldg. 8 - Room B 101
DTSTART;TZID=Europe/Stockholm:20260630T144500
DTEND;TZID=Europe/Stockholm:20260630T151500
UID:submissions.pasc-conference.org_PASC26_sess147_msa134@linklings.com
SUMMARY:From Access to Participation: Using Learning Analytics to Support 
 Onboarding in Open HPC Projects
DESCRIPTION:Birte Heinemann (RWTH Aachen University)\n\nOpen development h
 as become increasingly important for large-scale scientific software proje
 cts, particularly in the high-performance computing domain. While the avai
 lability of source code improves transparency and reproducibility, communi
 ty participation requires more than open repositories. New contributors mu
 st understand complex codebases, development workflows, and community prac
 tices before they can participate. As a result, onboarding represents a cr
 itical challenge for sustaining open development communities.\nThis contri
 bution explores how perspectives from learning analytics can support onboa
 rding processes in open HPC projects. Drawing on experiences from the ICON
  climate and weather model community, we examine how traces from developme
 nt platforms and documentation systems can be used to better understand pa
 rticipation pathways of new contributors. Learning analytics methods offer
  opportunities to identify barriers in the onboarding process, visualize e
 ngagement patterns, and provide evidence-informed insights for improving d
 ocumentation, training materials, and community support structures.\nThis 
 work highlights the socio-technical dimensions of open development. By com
 bining research software engineering practices with insights from educatio
 nal research, the approach aims to strengthen the transition from passive 
 access to active participation in complex scientific software ecosystems.\
 nThe talk discusses initial concepts and emerging directions for integrati
 ng learning analytics into community onboarding strategies in HPC projects
 .\n\nDomain: Climate, Weather, and Earth Sciences, Applied Social Sciences
  and Humanities\n\nSession Chair: Jan Frederik Engels (German Climate Comp
 uting Centre)\n\n
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