List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).

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Back Manathunga K, Hernández-Leo D. Authoring and enactment of mobile pyramid-based collaborative learning activities. British Journal of Educational Technology

Manathunga K, Hernández-Leo D. Authoring and enactment of mobile pyramid-based collaborative learning activities. British Journal of Educational Technology

Collaborative learning flow patterns (CLFPs) formulate best practices for the orchestration of activity sequences and collaboration mechanisms that can elicit fruitful social interactions. Mobile technology features offer opportunities to support interaction mediation and content accessibility. However, existing mobile collaborative learning research has mostly focussed on simple activity orchestrations from the perspective of collaborative flow orchestration and flexibility requirements, predominantly in face-to-face pre-university educational contexts. This paper proposes a particularisation of the Pyramid CLFP to support flexible face-to-face and distance mobile learning scenarios in which learners interact in increasingly larger groups along a sequence of activities (Pyramid levels). PyramidApp implements this Pyramid particularisation that provides both a web-based authoring tool and an enactment tool accessible through web or mobile devices. The authoring tool was evaluated in workshops where teachers appreciated its design and applicability to their educational contexts. PyramidApp flows were enacted in three higher education settings. Learners enjoyed the activities but usage and satisfaction varied depending on several design and contextual factors like the epistemic tasks given, the education level and application mode (face-to-face or distance).

DO: doi:10.1111/bjet.12588 

Additional material:

  • PyramidApp is available as an open source project in GitHub (Manathunga, Abenia, & Hernández-Leo, 2017), link in GitHub. Due to privacy issues, experiment data will not be made publicly available. But, an electronic version of anonymized data will be made available and shared with interested researchers under an agreement for data access (contact: [email protected]).
  • Open access version at UPF e-repository