2. Related Works
3. Materials and Methods
3.1. Technological Ecosystem Metamodel
3.2. WYRED Ecosystem
- Phase 1. Preparation. It begins with a consultation phase involving outreach and participation and a process of social dialogue. In this initial step, children and young people are brought together and facilitated to discuss the issues and concerns of the digital society, using age-appropriate facilitation techniques and tools.
- Phase 2. Dialogue. The results obtained in the previous phase lead to the second phase of the research definition. Through the articulation of research questions, children and young people are again supported to consider key issues in greater depth.
- Phase 3. Research. The next stage in the process is focused on action. The research questions are articulated as research projects. These projects, developed within the framework for citizen science, can cover different methodologies and formats when presenting the results.
- Phase 4. Evaluation. In the last phase of the research cycle, the analysis of the projects is carried out. Children and young people seek to interpret their work, their answers. At each stage, children and young people have the opportunity to present their analysis and critique of the online environment in which they interact and develop projects.
- Access to registration in the Platform is by invitation and linked to the informed consent procedures.
- The personal data is stored in an off-line database to which only the administrator have access. It will be only used in cases where abusive or unacceptable behaviour in the Platform.
- Parental consent managed by each institution involved in the project is needed to finish the registration process of children under 14 years old.
4. The Case Study
- Do social networks promote the stereotypes?
- Do teaching learning processes an impact in the stereotypes?
- How young people deal with pressure about self-image?
- Does Internet influence in sports?
- Does social media support the gender gap?
- Do stereotypes have an impact in the current society?
- Do stereotypes only related to gender or there are stereotypes related to sexual orientation?
- Are there gender stereotypes during childhood?
- Gender stereotypes are part of our lives from the beginning, also when technology is not part of our lives.
- Internet could help to identify stereotypes although also it is a way to strengthen them.
- Teachers should aware about stereotypes and they can use the examples available on Internet to analyse them in the classroom.
- There are gender stereotypes associated to the uses of Internet.
6. Discussion and Conclusions
6.1. Contributions to Theory
6.2. Implications to Practice
6.3. Key Lessons Learnt
- It illustrates that within a group of children and young people, they find a wide range of research topics to explore, as well as creative means to presenting their research results.
- As identified in previous work focusing on co-creation processes , the proper development of international conversations requires the participation of facilitators - educators or scientists - who guide the group dynamics.
- The asynchronous communication tools provided by the WYRED ecosystem facilitate communication in a single language, English, by allowing the necessary time to prepare the interventions, as well as allowing the use of automatic translators as support in cases where the written level is low. The facilitator plays a key role in facilitating conversation and avoiding problems associated with written expression.
- The participation of children between 7 and 14 years old requires the support of their teachers and, to a lesser extent, of the educational centre, in order to manage the legal permission of the tutors to register in the WYRED ecosystem and to develop the citizen science projects at an international level.
- Research projects carried out by children and young people involve a learning process as well as providing ideas to researchers and decision-makers. Besides, the ecosystem allows giving visibility to the projects so that other young people can get ideas for future projects.
- The ecosystem provides the context and tools necessary to establish a methodology based on communication between people involved in research projects in order to achieve international projects, involving people with different points of view, from heterogeneous social and cultural contexts.
- Language is a barrier in the development of international citizen science projects, but the use of asynchronous communication based on the WYRED Platform allows children and young people use translate tools and other resources to collaborate with people from other countries.
6.4. Limitations of the Research
6.5. Future Research Directions
Conflicts of Interest
- Silvertown, J. A new dawn for citizen science. Trends Ecol. Evol. 2009, 24, 467–471. [Google Scholar] [CrossRef]
- Dawson, D. Open science and crowd science: Selected sites and resources. Issues Sci. Technol. Librariansh. 2012, 69. [Google Scholar] [CrossRef]
- Ferran-Ferrer, N. Volunteer participation in citizen science projects. El Prof. De La Inf. 2015, 24, 827–837. [Google Scholar] [CrossRef]
- Wiggins, A.; Crowston, K. Goals and Tasks: Two Typologies of Citizen Science Projects. In Proceedings of the 2012 45th Hawaii International Conference on System Science, Maui, HI, USA, 4–7 January 2012; pp. 3426–3435. [Google Scholar]
- Kullenberg, C.; Kasperowski, D. What Is Citizen Science?—A Scientometric Meta-Analysis. PLoS ONE 2016, 11, e0147152. [Google Scholar] [CrossRef]
- SOCIENTIZE Consortium. Green Paper on Citizen Science: Citizen Science for Europe Towards a Better Society of Empowered Citizens and Enhanced Research; European Commission: Brussels, Belgium, 2013. [Google Scholar]
- Cooper, C.B.; Dickinson, J.; Phillips, T.; Bonney, R. Citizen science as a tool for conservation in residential ecosystems. Ecol. Soc. 2007, 12, 11. [Google Scholar] [CrossRef]
- Bonney, R.; Shirk, J.L.; Phillips, T.B.; Wiggins, A.; Ballard, H.L.; Miller-Rushing, A.J.; Parrish, J.K. Next Steps for Citizen Science. Science 2014, 343, 1436–1437. [Google Scholar] [CrossRef]
- Shirk, J.L.; Ballard, H.L.; Wilderman, C.C.; Phillips, T.; Wiggins, A.; Jordan, R.; McCallie, E.; Minarchek, M.; Lewenstein, B.V.; Krasny, M.E.; et al. Public Participation in Scientific Research: A Framework for Deliberate Design. Ecol. Soc. 2012, 17, 29. [Google Scholar] [CrossRef]
- Ottinger, G. Buckets of Resistance: Standards and the Effectiveness of Citizen Science. Sci. Technol. Hum. Values 2010, 35, 244–270. [Google Scholar] [CrossRef]
- Kullenberg, C. Citizen Science as Resistance: Crossing the Boundary Between Reference and Representation. J. Resist Stud. 2015, 1, 50–76. [Google Scholar]
- Fecher, B.; Friesike, S. Open Science: One Term, Five Schools of Thought. In Opening Science. The Evolving Guide on How the Web is Changing Research, Collaboration and Scholarly; Bartling, S., Friesike, S., Eds.; Springer: Berlin/Heidelberg, Germany, 2014; pp. 17–47. [Google Scholar]
- Shneiderman, B. Science 2.0. Science 2008, 319, 1349–1350. [Google Scholar] [CrossRef]
- Dickinson, J.L.; Shirk, J.; Bonter, D.; Bonney, R.; Crain, R.L.; Martin, J.; Phillips, T.; Purcell, K. The current state of citizen science as a tool for ecological research and public engagement. Front. Ecol. Environ. 2012, 10, 291–297. [Google Scholar] [CrossRef]
- Newman, G.; Wiggins, A.; Crall, A.; Graham, E.; Newman, S.; Crowston, K. The future of citizen science: Emerging technologies and shifting paradigms. Front. Ecol. Environ. 2012, 10, 298–304. [Google Scholar] [CrossRef]
- Levy, M.; Germonprez, M. The Potential for Citizen Science in Information Systems Research. Commun. Assoc. Inf. Syst. 2017, 40, 22–39. [Google Scholar] [CrossRef]
- Malmborg, L.; Light, A.; Fitzpatrick, G.; Bellotti, V.; Brereton, M. Designing for Sharing in Local Communities. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems; ACM: New York, NY, USA, 2015; pp. 2357–2360. [Google Scholar]
- Wildschut, D. The need for citizen science in the transition to a sustainable peer-to-peer-society. Futures 2017, 91, 46–52. [Google Scholar] [CrossRef]
- Franzoni, C.; Sauermann, H. Crowd Science: The Organization of Scientific Research in Open Collaborative Projects (August 14, 2013). Res. Policy 2014, 43, 1–20. [Google Scholar] [CrossRef]
- Follett, R.; Strezov, V. An Analysis of Citizen Science Based Research: Usage and Publication Patterns. PLoS ONE 2015, 10, e0143687. [Google Scholar] [CrossRef]
- Ballard, H.L.; Dixon, C.G.H.; Harris, E.M. Youth-focused citizen science: Examining the role of environmental science learning and agency for conservation. Biol. Conserv. 2017, 208, 65–75. [Google Scholar] [CrossRef]
- Goble, C.; Bye-Brookes, N. Health and Well-Being for Young People: Building Resilience and Empowerment; Macmillan International Higher Education: London, UK, 2016. [Google Scholar]
- France, A. Understanding Youth In Late Modernity; Open University Press: Maidenhead, UK, 2007. [Google Scholar]
- European Union. Focus on: Empowering Young People to Participate in Society. European Good Practice Projects; Publications Office of the European Union: Luxembourg, 2015. [Google Scholar]
- Nancy, J. European Youth in 2016. Special Eurobarometer of the European Parliament; European Parliamentary Research Service (EPRS): Brussels, Belgium, 2016. [Google Scholar]
- García-Peñalvo, F.J.; Kearney, N.A. Networked youth research for empowerment in digital society: The WYRED project. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’16), Salamanca, Spain, 2–4 November 2016; García-Peñalvo, F.J., Ed.; ACM: New York, NY, USA, 2016; pp. 3–9. [Google Scholar]
- Oliveira, N.; Jun, E.; Reinecke, K. Citizen Science Opportunities in Volunteer-Based Online Experiments. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems; ACM: New York, NY, USA, 2017; pp. 6800–6812. [Google Scholar]
- Siemens, G. Connectivism: Creating a Learning Ecology in Distributed Environments; Hug, T., Ed.; Waxmann Verlag: New York, NY, USA, 2007; pp. 53–68. [Google Scholar]
- Wiggins, A.; Crowston, K. From Conservation to Crowdsourcing: A Typology of Citizen Science. In Proceedings of the 2011 44th Hawaii International Conference on System Sciences, Kauai, HI, USA, 4–7 January 2011; pp. 1–10. [Google Scholar]
- Kelemen-Finan, J.; Knoll, C.; Proebstl-Haider, U. Citizen Science—Really Cool or Just Stupid? Lay monitoring as contribution to the environmental education of young people. Nat. Und Landsch. 2013, 45, 171–176. [Google Scholar]
- Kelemen-Finan, J.; Scheuch, M.; Winter, S. Contributions from citizen science to science education: An examination of a biodiversity citizen science project with schools in Central Europe. Int. J. Sci. Educ. 2018, 40, 2078–2098. [Google Scholar] [CrossRef]
- Ruiz-Mallén, I.; Riboli-Sasco, L.; Ribrault, C.; Heras, M.; Laguna, D.; Perié, L. Citizen Science:Toward Transformative Learning. Sci. Commun. 2016, 38, 523–534. [Google Scholar] [CrossRef]
- Soanes, K.; Cranney, K.; Dade, M.C.; Edwards, A.M.; Palavalli-Nettimi, R.; Doherty, T.S. How to work with children and animals: A guide for school-based citizen science in wildlife research. Austral Ecol. 2020, 45, 3–14. [Google Scholar] [CrossRef]
- Locritani, M.; Merlino, S.; Abbate, M. Assessing the citizen science approach as tool to increase awareness on the marine litter problem. Mar. Pollut. Bull. 2019, 140, 320–329. [Google Scholar] [CrossRef] [PubMed]
- Trajber, R.; Walker, C.; Marchezini, V.; Kraftl, P.; Olivato, D.; Hadfield-Hill, S.; Zara, C.; Fernandes Monteiro, S. Promoting climate change transformation with young people in Brazil: Participatory action research through a looping approach. Action Res. 2019, 17, 87–107. [Google Scholar] [CrossRef]
- Saunders, M.E.; Roger, E.; Geary, W.L.; Meredith, F.; Welbourne, D.J.; Bako, A.; Canavan, E.; Herro, F.; Herron, C.; Hung, O.; et al. Citizen science in schools: Engaging students in research on urban habitat for pollinators. Austral Ecol. 2018, 43, 635–642. [Google Scholar] [CrossRef]
- Frigerio, D.; Puehringer-Sturmayr, V.; Neuböck-Hubinger, B.; Gegendorfer, G.; Kotrschal, K.; Hirschenhauser, K. Monitoring public awareness about the endangered northern bald ibis: A case study involving primary school children as citizen scientists. PeerJ 2019, 7, e7569. [Google Scholar] [CrossRef] [PubMed]
- Magnussen, R.; Hamann, V.L.; Stensgaard, A.G. Educating for co-Production of Community-Driven Knowledge. Electron. J. E-Learn. 2019, 17, 222–233. [Google Scholar] [CrossRef]
- Fonseca, D.; Conde, M.A.; García-Peñalvo, F.J. Improving the information society skills: Is knowledge accessible for all? Univers. Access Inf. Soc. 2018, 17, 229–245. [Google Scholar] [CrossRef]
- Hernández-García, A.; Conde, M.A. Dealing with complexity: Educational data and tools for learning analytics. In Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’14), Salamanca, Spain, 1–3 October 2014; García-Peñalvo, F.J., Ed.; ACM: New York, NY, USA, 2014; pp. 263–268. [Google Scholar]
- Llorens-Largo, F.; Molina, R.; Compañ, P.; Satorre, R. Technological Ecosystem for Open education. In Smart Digital Futures 2014; Neves-Silva, R., Tsihrintzis, G.A., Uskov, V., Howlett, R.J., Jain, L.C., Eds.; IOS Press: Tepper Drive Clifton, VA, USA, 2014; Volume 262, pp. 706–715. [Google Scholar]
- Molina-Carmona, R.; Compañ-Rosique, P.; Satorre-Cuerda, R.; Villagrá-Arnedo, C.J.; Gallego-Durán, F.J.; Llorens-Largo, F. Technological Ecosystem Maps for IT Governance: Application to a Higher Education Institution. In Open Source Solutions for Knowledge Management and Technological Ecosystems; IGI Global: Hershey, PA, USA, 2017; pp. 50–80. [Google Scholar]
- Prieto, L.P.; Dillenbourg, P. The orchestration matrix: A tool to design heterogeneous classroom ecosystems. In Proceedings of the Orchestrated Collaborative Classroom Workshop 2015; Dimitriadis, Y., Harrer, A., Prieto, L.P., Slotta, J.D., Milrad, M., Eds.; CEUR-WS: Gothenburg, Sweden, 2015; Volume 1411, pp. 20–24. [Google Scholar]
- Rajeshwar, V. Software Engineering for Technological Ecosystems. In Open Source Solutions for Knowledge Management and Technological Ecosystems; IGI Global: Hershey, PA, USA, 2017; pp. 175–194. [Google Scholar]
- Jansen, S.; Finkelstein, A.; Brinkkemper, S. A Sense of Community: A Research Agenda for Software Ecosystems. In Proceedings of the 31st International Conference on Software Engineering—Companion Volume, Vancouver, BC, Canada, 16–24 May 2009; pp. 187–190. [Google Scholar]
- Messerschmitt, D.G.; Szyperski, C. Software Ecosystem: Understanding an Indispensable Technology and Industry; The MIT Press: Cambridge, MA, USA, 2005; Volume 1. [Google Scholar]
- Vegendla, A.; Duc, A.N.; Gao, S.; Sindre, G. A Systematic Mapping Study on Requirements Engineering in Software Ecosystems. J. Inf. Technol. Res. 2018, 11, 49–69. [Google Scholar] [CrossRef]
- Booher, H.R. Introduction: Human Systems Integration. In Handbook of Human Systems Integration; Booher, H.R., Ed.; John Wiley & Sons Inc.: Hoboken, NJ, USA, 2003; pp. 1–30. [Google Scholar]
- Knodel, J.; Manikas, K. Towards a Typification of Software Ecosystems. In Software Business. ICSOB 2015. Lecture Notes in Business Information Processing; Fernandes, J., Machado, R., Wnuk, K., Eds.; Springer: Berlin/Heidelberg, Germany, 2015; Volume 2010, pp. 60–65. [Google Scholar]
- Mens, T.; Claes, M.; Grosjean, P.; Serebrenik, A. Studying evolving software ecosystems based on ecological models. In Evolving Software Systems; Mens, T., Serebrenik, A., Cleve, A., Eds.; Springer: Berlin/Heidelberg, Germany, 2014; pp. 297–326. [Google Scholar]
- Mens, T.; Grosjean, P. The Ecology of Software Ecosystems. Computer 2015, 48, 85–87. [Google Scholar] [CrossRef]
- Open Source Solutions for Knowledge Management and Technological Ecosystems; García-Peñalvo, F.J.; García-Holgado, A. (Eds.) IGI Global: Hershey, PA, USA, 2017. [Google Scholar]
- García-Holgado, A.; García-Peñalvo, F.J. Validation of the learning ecosystem metamodel using transformation rules. Future Gener. Comput. Syst. 2019, 91, 300–310. [Google Scholar] [CrossRef]
- López-Fernández, J.J.; Guerra, E.; de Lara, J. Assessing the Quality of Meta-models. In MoDeVVa; Boulanger, F., Famelis, M., Ratiu, D., Eds.; CEUR Workshop Proceedings: Valencia, Spain, 2014; Volume 1235, pp. 3–22. [Google Scholar]
- Franco-Bedoya, O.; Ameller, D.; Costal, D.; Franch, X. Open source software ecosystems: A Systematic mapping. Inf. Softw. Technol. 2017, 91, 160–185. [Google Scholar] [CrossRef]
- García-Peñalvo, F.J.; Vázquez-Ingelmo, A.; García-Holgado, A.; Seoane Pardo, A.M. Analyzing the usability of the WYRED Platform with undergraduate students to improve its features. Univers. Access Inf. Soc. 2019, 18, 455–468. [Google Scholar] [CrossRef]
- Henry, C.; Kemmis, S. A point-by-point guide to action research for teachers. Aust. Adm. 1985, 6, 1–4. [Google Scholar]
- WYRED Consortium. WYRED Research Cycle Infographic; WYRED Consortium: European Union, 2017. [Google Scholar]
- WYRED Consortium. Participant Protection Policy; WP1_D1.4. V3; WYRED Consortium: European Union, 2016. [Google Scholar]
- Crowe, S.; Cresswell, K.; Robertson, A.; Huby, G.; Avery, A.; Sheikh, A. The case study approach. BMC Med. Res. Methodol. 2011, 11, 100. [Google Scholar] [CrossRef] [PubMed]
- Coad, J.; Evans, R. Reflections on Practical Approaches to Involving Children and Young People in the Data Analysis Process. Child. Soc. 2008, 22, 41–52. [Google Scholar] [CrossRef]
- Thomas, N. Children and Young People’s Participation in Research. In International Perspectives and Empirical Findings on Child Participation: From Social Exclusion to Child-Inclusive Policies; Gal, T., Duramy, B.F., Eds.; Oxford University Press: New York, NY, USA, 2014; pp. 89–110. [Google Scholar]
- Rodríguez-Conde, M.J.; García-Holgado, A.; Zangrando, A.; García-Peñalvo, F.J. Delphi study to identify the young people priorities about digital society. In Proceedings of the 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2018), Salamanca, Spain, 24–26 October 2018; García-Peñalvo, F.J., Ed.; ACM: New York, NY, USA, 2018. [Google Scholar]
- Bian, L.; Leslie, S.-J.; Cimpian, A. Gender stereotypes about intellectual ability emerge early and influence children’s interests. Science 2017, 355, 389–391. [Google Scholar] [CrossRef]
- Botello Hermosa, A.; Casado Mejía, R. Estereotipos de género con respecto a las etapas reproductivas de las mujeres y sus implicaciones en la salud. Matronas Prof. 2016, 17, 130–136. [Google Scholar]
- Wood, J.T. Gendered media: The Influence of Media on Views of Gender. In Gendered Lives: Communication, Gender, and Culture; Wadsworth Publishing: Belmont, CA, USA, 1994; pp. 231–244. [Google Scholar]
- Guimarães Pereira, Â.; Saltelli, A. Post-normal institutional identities: Quality assurance, reflexivity and ethos of care. Futures 2017, 91, 53–61. [Google Scholar] [CrossRef]
- Marchezini, V.; Trajber, R.; Olivato, D.; Muñoz, V.A.; de Oliveira Pereira, F.; Oliveira Luz, A.E. Participatory Early Warning Systems: Youth, Citizen Science, and Intergenerational Dialogues on Disaster Risk Reduction in Brazil. Int. J. Disaster Risk Sci. 2017, 8, 390–401. [Google Scholar] [CrossRef]
- Senabre, E.; Ferran-Ferrer, N.; Perelló, J. Diseño participativo de experimentos de ciencia ciudadana—Participatory design of citizen science experiments. Rev. Comun. 2018, 26, 29–38. [Google Scholar] [CrossRef]
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