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Integrating Co-design Practices into the Development of Mobile Science Collaboratories
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.ORCID iD: 0000-0001-9454-0793
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. (CeLeKT)ORCID iD: 0000-0002-6937-345X
Standford University. (SCIL)
Stanford University. (SCiL)
2009 (English)In: ICALT '09: Proceedings of the 2009 Ninth IEEE International Conference on Advanced Learning Technologies, Riga, Latvia: IEEE Press, 2009, p. 393-397Conference paper, Published paper (Refereed)
Abstract [en]

Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for field-based inquiries  incorporating open web standards. While a broad range of design approaches for developing technology-enhanced learning has been used by researchers and practitioners for the last 15 years, significant challenges for educational use remain as new technologies and user experiences continually evolve outside the classroom. We focus on the specific design challenge of how to initiate the co-design process together with teachers, researchers, scientists, designers, and developers in order to devise and develop mobile science collaboratories that support open inquiry-based learning in ecology education. The outcomes presented in this paper point towards the need for additional methods to support co-design that take into consideration future user experiences needed for developing and implementing these types of learning activities.

Place, publisher, year, edition, pages
Riga, Latvia: IEEE Press, 2009. p. 393-397
Keywords [en]
Computer Supported Collaborative Learning, Technology-enhanced Learning, Inquiry-based Learning, Mobile Learning, Design-based Research, Co-Design, Technology-enhanced Science Education, Mobile and Ubiquitous Technologies for Learning
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:vxu:diva-6850ISBN: 978-0-7695-3711-5 (print)OAI: oai:DiVA.org:vxu-6850DiVA, id: diva2:288401
Projects
Lets GoAvailable from: 2010-01-21 Created: 2010-01-21 Last updated: 2020-06-29Bibliographically approved

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Other links

http://doi.ieeecomputersociety.org/10.1109/ICALT.2009.175

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Spikol, DanielMilrad, Marcelo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
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Output format
  • html
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