Doctoral thesis
OA Policy
English

Writing to share, sharing to learn: technology-enhanced learning activities to foster professional development in initial vocational education

ContributorsOrtoleva, Giulia
Defense date2015-04-14
Abstract

Vocational education requires apprentices to simultaneously engage in two learning environments: school and workplace. This research analyses the implementation of a computer-supported pedagogical scenario including writing and peer-collaboration as mediating instructional tools to articulate the knowledge acquired in these two settings. This scenario aims at combining the cognitive effects derived from the writing activity, such as abstraction and knowledge construction, with the reflection and shift of focus away from personal experience offered by collaborating with others. Three empirical studies showed that such activities can have a beneficial impact on apprentices' declarative competence acquisition, and can improve their self-efficacy beliefs (especially for 1st year students). Qualitative analyses of peer-comments brought to the identification of the characteristics of constructive interactions and highlighted a positive engagement of the participants, particularly in the collaborative task. These results indicate the interesting potential of computer-supported writing and peer-collaboration in the vocational context.

Keywords
  • Technology-enhanced learning
  • Vocational education and training
  • VET
  • Workplace learning
  • Writing
  • Collaboration
  • CSCL
  • Collaborative writing
  • Peer-comment
  • Peer-feedback
  • Wiki
Funding
  • Autre - State Secretariat for Education, Research and Innovation SERI - Grant BB.2009.0173
Citation (ISO format)
ORTOLEVA, Giulia. Writing to share, sharing to learn: technology-enhanced learning activities to foster professional development in initial vocational education. Doctoral Thesis, 2015. doi: 10.13097/archive-ouverte/unige:56052
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Technical informations

Creation28/04/2015 10:36:00
First validation28/04/2015 10:36:00
Update time14/03/2023 23:15:43
Status update14/03/2023 23:15:43
Last indexation31/10/2024 00:09:10
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