COST Action enetCollect - European Network for Combining Language Learning with Crowdsourcing Techniques is organised in five working groups (WGs)
Participation is open to anyone interested in this action who is also willing to contribute to its objectives. The eligibility for reimbursements depends on the country of affiliation and the member status (MC member or not) of the applicant. Join action on the national level.
WG3 - User-oriented design strategies for a competitive solution
This working group (WG3) aims at creating design strategies fostering the user-orientation of an online language learning solution and ensuring its capacity to attract and retain a crowd. For example, this WG will study the relevance and attractiveness of learner profiling for vocabulary training and devise related design strategies. The objective is approached by reviewing existing solutions and users’ expectations.
Stakeholders involved: content-creation experts and content-usage experts
Procedure how to join this WG3 or other working groups can be found here below, or send an e-mail to brb19[at]hi.is.
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Procedure for joining Working Groups EnetCollect – European Network for Combining Language Learning with Crowdsourcing Techniques (CA16105)
Web: http://www.cost.eu/COST_Actions/ca/CA16105
Contact: chair.enetcollect@eurac.edu
This document describes the conditions and steps required to join enetCollect’s Working Groups (WGs).
What are the Working Groups of enetCollect and what are they about? EnetCollect is organized around five interlinked Working Groups, as detailed in Annex I below.
Who can participate? Participation is open to anybody interested in enetCollect and willing to contribute to the objectives defined in its MoU. The eligibility for reimbursements depends on the country of affiliation and the member status (MC member or not) of the applicant, see http://www.cost.eu/participate/join_action
How to join? In order to join one or several WGs you are required to perform two steps:
1. Provide information about yourself by compiling this general survey: https://opinio.eurac.edu/s?s=4780
2. Subscribe to the Googlegroups of the WGs that you are interested in by clicking on one or more of the following links and requesting to join the googlegroups. A description, extracted from the enetCollect proposal, of the working groups is available in the attached document.
[WG1] R&I on Explicit Crowdsourcing for Language Learning material production https://groups.google.com/forum/#!forum/enetcollect-wg1
[WG2] R&I on Implicit Crowdsourcing for Language Learning materials production https://groups.google.com/forum/#!forum/enetcollect-wg2
[WG3] User-‐oriented design strategies for a competitive solution https://groups.google.com/forum/#!forum/enetcollect-wg3
[WG4] Technology-‐oriented specifications for a flexible and robust solution https://groups.google.com/forum/#!forum/enetcollect-wg4
[WG5] Application-‐oriented specifications for an ethical, legal and profitable solution https://groups.google.com/forum/#!forum/enetcollect-wg5
What should be noticed?
‐You are allowed to join several WGs in order to follow their activities, however you are asked to indicate the WG of your primary interest within the general survey (first step).
‐ Your subscription request(s) will only be validated after you compiled the general survey (first step).
‐ Please avoid forwarding these guidelines to general mailing lists, but only to selected people with particular interest or fit for enetCollect.
Annex I
WG1‐ R&I on Explicit Crowdsourcing for Language Learning material production
WG1 aims at developing or adapting explicit crowdsourcing approaches for producing language learning materials. For example, WG1 will research the most effective ways to collaboratively devise lesson content (e.g. grammar) and to assess how effective it is by observing how different samples of users confronted with the created content perform subsequently. An overview of existing materials and workflows for their production will be created and existing explicit crowdsourcing approaches will be reviewed. Then, strategies to adapt and integrate such approaches will be researched. Stakeholders involved: content-‐creation experts and crowdsourcing experts
WG2 ‐ R&I on Implicit Crowdsourcing for Language Learning materials production
WG2 aims at developing or adapting implicit crowdsourcing approaches for producing language learning materials and language-‐related data. An overview of existing materials and workflows for their creation will be devised. Existing implicit crowdsourcing approaches will also be reviewed and strategies to adapt them or develop new approaches will then be researched. For example, this WG will research ways to generate exercise content from language resources (e.g. lexica) and to crowdsource manual validation of automatically generated new entries (e.g. neologisms) by cross-‐matching the learners’ answers regarding exercise content generated from such new entries. Stakeholders involved: content-‐usage experts and crowdsourcing experts
WG3 ‐ User-‐oriented design strategies for a competitive solution
WG3 aims at creating design strategies fostering the user-‐orientation of an online language learning solution and ensuring its capacity to attract and retain a crowd. For example, this WG will study the relevance and attractiveness of learner profiling for vocabulary training and devise related design strategies. The objective is approached by reviewing existing solutions and users’ expectations. Stakeholders involved: content-‐creation experts and content-‐usage experts
WG4 -‐ Technology-‐oriented specifications for a flexible and robust solution
WG4 aims at creating the technical specifications to support the functional demands of WG1, WG2, and WG3. For example, WG4 will study technical solutions for the scalability of a crowdsourcing solution. The objective is approached by studying technical options and creating blueprints. Stakeholders involved: CMS developers and crowdsourcing experts
WG5 ‐ Application-‐oriented specifications for an ethical, legal and profitable solution
WG5 aims at devising the application-‐oriented part of the theoretical framework that relates to (1) ethical questions regarding the involvement of users and the collection of data, (2) legal regulations, and (3) opportunities and models for commercialization. The objective is approached by studying the ethical, legal, and commercial implications of the findings created in WG1, WG2, and WG3. Stakeholders involved: all stakeholder groups