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Teaching and Learning Programming with Linux using In-Browser Client-Side Web Technologies: Exploring the Key Features for Achieving Systems and Tools Scalability

  • Rémi Sharrock
  • , Ewen Collin
  • , Thibaud Labat
  • , Ella Hamonic
  • , Petra Bonfert-Taylor
  • , Michael Goudzwaard
  • Institut Polytechnique de Paris
  • Independant Researcher
  • Dartmouth College

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2 Citations (Scopus)

Résumé

This paper explores the key features for achieving systems and tools scalability for online learning. We created large scale tools used in popular online courses on teaching and learning programming with Linux that take advantage of client-side web technologies. We advocate for more compatible, interoperable and light tools and systems that are resilient, elastic, traceable, responsive and secure. We also think social features should be considered like friendliness, accessibility, openness and re-usability. Those features could be used to assess the quality and the scalability potential of MOOCs by choosing different metrics to evaluate for each introduced feature. In doing so we hope to diversify the standard indicators of the success of online courses, especially regarding their scalability, and give some examples for STEM courses.

langue originaleAnglais
titreL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale
EditeurAssociation for Computing Machinery, Inc
Pages427-430
Nombre de pages4
ISBN (Electronique)9781450391580
Les DOIs
étatPublié - 1 juin 2022
Evénement9th Annual ACM Conference on Learning at Scale, L@S 2022 - New York City, États-Unis
Durée: 1 juin 20223 juin 2022

Série de publications

NomL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale

Une conférence

Une conférence9th Annual ACM Conference on Learning at Scale, L@S 2022
Pays/TerritoireÉtats-Unis
La villeNew York City
période1/06/223/06/22

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