Cloud ecosystem for supporting inquiry learning with online labs: Creation, personalization, and exploitation

Denis Gillet, María Jesús Rodríguez-Triana, Ton de Jong, Lars Bollen, Diana Dikke

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
1 Downloads (Pure)

Abstract

To effectively and efficiently implement blended science and technology education, teachers should be able to find educational resources that suit their need, fit with their curricula, and that can be easily exploited in their classroom. The European Union has supported the FP7 Go-Lab Integrated Project (2012-2016) and then the H2020 Next-Lab Innovation Action (2017-2019) to develop and disseminate inquiry learning spaces as open educational resources integrating online labs. This paper presents the technical ecosystem supporting these initiatives and combining loosely-coupled cloud services and platforms. The golabz.eu sharing platform is a repository offering online labs, scaffolding apps, and inquiry learning spaces created by teachers for teachers. The graasp.eu authoring platform is a social media enabling collaborative creation, agile personalization and secure exploitation at school, as well as exchange of best practices between teachers.

Original languageEnglish
Title of host publicationProceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017
PublisherIEEE
Pages208-213
Number of pages6
ISBN (Electronic)978-1-5386-0810-4
ISBN (Print)978-1-5386-0811-1
DOIs
Publication statusPublished - 18 Jul 2017
Event4th Experiment@International Conference - Faro, Portugal
Duration: 6 Jun 20178 Jun 2017
Conference number: 4th

Conference

Conference4th Experiment@International Conference
Abbreviated titleexp.at'17
CountryPortugal
CityFaro
Period6/06/178/06/17

Fingerprint

personalization
Application programs
Ecosystems
Curricula
exploitation
Innovation
Education
teacher
learning
social media
resources
best practice
innovation
curriculum
classroom
European Union
science
school
education

Keywords

  • Creative Commons
  • Educational Repository
  • Inquiry Learning
  • Learning Analytics
  • Learning Environment
  • Online Labs
  • Open Educational Resources
  • STEM Education

Cite this

Gillet, D., Rodríguez-Triana, M. J., de Jong, T., Bollen, L., & Dikke, D. (2017). Cloud ecosystem for supporting inquiry learning with online labs: Creation, personalization, and exploitation. In Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017 (pp. 208-213). [7984406] IEEE. https://doi.org/10.1109/EXPAT.2017.7984406
Gillet, Denis ; Rodríguez-Triana, María Jesús ; de Jong, Ton ; Bollen, Lars ; Dikke, Diana. / Cloud ecosystem for supporting inquiry learning with online labs : Creation, personalization, and exploitation. Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017. IEEE, 2017. pp. 208-213
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Gillet, D, Rodríguez-Triana, MJ, de Jong, T, Bollen, L & Dikke, D 2017, Cloud ecosystem for supporting inquiry learning with online labs: Creation, personalization, and exploitation. in Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017., 7984406, IEEE, pp. 208-213, 4th Experiment@International Conference, Faro, Portugal, 6/06/17. https://doi.org/10.1109/EXPAT.2017.7984406

Cloud ecosystem for supporting inquiry learning with online labs : Creation, personalization, and exploitation. / Gillet, Denis; Rodríguez-Triana, María Jesús; de Jong, Ton; Bollen, Lars; Dikke, Diana.

Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017. IEEE, 2017. p. 208-213 7984406.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Gillet D, Rodríguez-Triana MJ, de Jong T, Bollen L, Dikke D. Cloud ecosystem for supporting inquiry learning with online labs: Creation, personalization, and exploitation. In Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017. IEEE. 2017. p. 208-213. 7984406 https://doi.org/10.1109/EXPAT.2017.7984406