"Datificazione" e istruzione superiore: verso la costruzione di un quadro competenziale per una rinnovata Digital Scholarship

Titolo Rivista EXCELLENCE AND INNOVATION IN LEARNING AND TEACHING
Autori/Curatori Juliana Elisa Raffaghelli
Anno di pubblicazione 2021 Fascicolo 2021/0 Lingua Italiano
Numero pagine 21 P. 127-147 Dimensione file 0 KB
DOI 10.3280/exioa0-2021oa11132
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FrancoAngeli è membro della Publishers International Linking Association, Inc (PILA)associazione indipendente e non profit per facilitare (attraverso i servizi tecnologici implementati da CrossRef.org) l’accesso degli studiosi ai contenuti digitali nelle pubblicazioni professionali e scientifiche

La “datificazione” di processi e servizi è un fenomeno emergente, che sta creando una nuova forma di digital divide. Le due missioni principali dell’università sono entrate in pieno nelle dinamiche della datificazione a partire dai processi di digitalizzazione che hanno accompagnato la modernizzazione dell’università e più recentemente la pedagogia della pandemia. Il presente articolo si propone di introdurre un framework concettuale che supporti lo sviluppo di aree di data literacy legate all’agire professionale dei docenti nella didattica universitaria. Lo studio si basa su una revisione della letteratura e fa parte di una fase iniziale di un progetto di ricerca più ampio. Vengono quindi analizzati una serie di framework relativi alla data literacy, incluso il framework europeo DigCompEdu. Quest’ultimo viene quindi adottato come base strutturale alla formulazione del quadro di alfabetizzazione ai dati o data literacy, in virtù della sua centralità all’interno delle politiche europee. Il quadro che ne consegue viene discusso alla luce delle strategie di sviluppo professionale utili a configurare scenari di uso, non solo dal punto di vista tecnologico, ma anche etico ed epistemologico, entro una rinnovata Digital Scholarship o professionalità docente nell’era delle tecnologie intelligenti.;

Keywords:alfabetizzazione dei dati, sviluppo professionale docente, didattica universitaria, DIGCOMPEDU

  1. Kennedy, H., Poell, T., & van Dijck, J. (2015). Data and agency. Big Data & Society, 2(2), 1-7. DOI: 10.1177/2053951715621569
  2. Atenas, J., Havemann, L., & Priego, E. (2015). Open Data as Open Educational Resources: Towards Transversal Skills and Global Citizenship. Open Praxis, 7(4), 377-389. DOI: 10.5944/openpraxis.7.4.233
  3. Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., … Paskevicius, M. (2020). A global outlook to the interruption of education due to COVID-19 Pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1-126. DOI: 10.5281/zenodo.3878572
  4. Carlson, J., Fosmire, M., Miller, C.C., & Nelson, M. S. (2011). Determining Data Information Literacy Needs: A Study of Students and Research Faculty. Portal: Libraries and the Academy, 11(2), 629-657. DOI: 10.1353/pla.2011.0022
  5. Carretero, S., Vuorikari, R., & Punie, Y. (2017). The Digital Competence Framework for Citizens With eight proficiency levels and examples of use. Brussels. DOI: 10.2760/38842
  6. Central Advisory Council for Education (England). (1959). The Crowther Report. London. Recuperato da: http://www.educationengland.org.uk/documents/crowther/crowther1959-1.html.
  7. Cribb, J., & Sari, T. (2010). Open Science: Sharing Knowledge in the Global Century. Collingwood, Australia.: CSIRO Publishing.
  8. Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904-920. DOI: 10.1111/bjet.12230
  9. European Commission. (2007). Key Competences for Lifelong Learning. European Reference Framework. Luxemburg. Recuperato da: http://ec.europa.eu/dgs/education_culture/publ/pdf/ll-learning/keycomp_en.pdf.
  10. Federighi, P., Ranieri, M., & Bandini, G. (2019b). Introduzione. In P. Federighi, M. Ranieri & G. Bandini (a cura di). Digital Scholarship tra ricerca e didattica (pp. 9-22). Milano: FrancoAngeli.
  11. Felisatti, E., & Serbati, A. (2019). Prospettive e pratiche di sviluppo professionale dei docenti universitari,. In P. Federighi, M. Ranieri & G. Bandini (a cura di). Digital Scholarship tra Ricerca e Didattica. Studi, Ricerche, Esperienze. (pp. 66-83). Milano: FrancoAngeli.
  12. Ferguson, R. (2012). Learning analytics: drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5/6), 304-317. Recuperato da: http://oro.open.ac.uk/36374/1/IJTEL40501_Ferguson Jan 2013.pdf.
  13. Gould, R. (2017). Data Literacy is Statistical Literacy. Statistics Education Research Journal, 16(1), 22-25. Recuperato da: https://iase-web.org/documents/SERJ/SERJ16(1)_Gould.pdf.
  14. Greenhow, C., Gleason, B., & Staudt Willet, K.B. (2019). Social scholarship revisited: Changing scholarly practices in the age of social media. British Journal of Educational Technology, 50(3), 987-1004. DOI: 10.1111/bjet.12772
  15. Gruppo di lavoro MIUR sui Big Data. (2016). Big Data @MIUR. Rapporto del gruppo di lavoro. Roma. Recuperato da: http://www.istruzione.it/allegati/2016/bigdata.pdf.
  16. Lupton, D. (2016). You are Your Data: Self-Tracking Practices and Concepts of Data. In S. Selke (eds), Lifelogging (pp. 61-79). Wiesbaden: VS Springer. DOI: 10.1007/978-3-658-13137-1_4
  17. Manca, S., Caviglione, L., & Raffaghelli, J.E. (2016). Big data for social media learning analytics: potentials and challenges. Journal of E-Learning and Knowledge Society, 12(2). DOI: 10.20368/1971-8829/1139
  18. Manca, S., & Ranieri, M. (2014). I Social Media vanno all’università? Un’indagine sulle pratiche didattiche degli accademici italiani. ECPS – Educational, Cultural and Psychological Studies, (10), 305-339. DOI: 10.7358/ecps-2014-010-manc
  19. Mandinach, E.B., & Gummer, E.S. (2016). What does it mean for teachers to be data literate: Laying out the skills, knowledge, and dispositions. Teaching and Teacher Education, 60(2016), 366-376. DOI: 10.1016/j.tate.2016.07.011
  20. Maurage, P., Heeren, A., & Pesenti, M. (2013). Does Chocolate Consumption Really Boost Nobel Award Chances? The Peril of Over-Interpreting Correlations in Health Studies. The Journal of Nutrition, 143(6), 931-933. DOI: 10.3945/jn.113.174813
  21. Maybee, C., & Zilinski, L. (2015). Data informed learning: A next phase data literacy framework for higher education. Proceedings of the Association for Information Science and Technology, 52(1), 1-4. DOI: 10.1002/pra2.2015.1450520100108
  22. Milan, S., & van der Velden, L. (2016, October 10). The Alternative Epistemologies of Data Activism. Recuperato da: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2850470.
  23. Pangrazio, L., & Selwyn, N. (2019). ‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data. New Media and Society, 21(2), 419-437. DOI: 10.1177/1461444818799523
  24. Pangrazio, L., & Selwyn, N. (2020). Towards a school-based ‘critical data education.’ Pedagogy, Culture and Society. DOI: 10.1080/14681366.2020.1747527 (articolo con numero/issue e pagine non ancora definite, solo DOI)
  25. Perrotta, C., & Williamson, B. (2018). The social life of Learning Analytics: cluster analysis and the ‘performance’ of algorithmic education. Learning, Media and Technology, 43(1), 3-16. DOI: 10.1080/17439884.2016.1182927
  26. Prinsloo, P. (2019). A social cartography of analytics in education as performative politics. British Journal of Educational Technology, 50(6), 2810-2823. DOI: 10.1111/bjet.12872
  27. Raffaghelli, J.E. (2014). A Scholarship of Open Teaching and Learning: new basis for quality in higher education. La scholarship di una didattica aperta: nuove basi per la formazione universitaria di qualità. Formazione& Insegnamento, European Journal of Research on Education and Teaching, 1(XII), 211-244. DOI: 10746/-fei-XII-01-14_14
  28. Raffaghelli, J.E. (2017a). Alfabetizzare ai dati nella società dei big e open data: una sfida formativa. Formazione& Insegnamento – European Journal of Research on Education and Teaching, 25(3), 279-304. DOI: 107346/-fei-XV-03-17_21
  29. Raffaghelli, J.E. (2017b). Exploring the (missed) connections between digital scholarship and faculty development: a conceptual analysis. International Journal of Educational Technology in Higher Education, 14(1), 20. DOI: 10.1186/s41239-017-0058-x
  30. Raffaghelli, J.E. (2018). Oltre il “far di conto” nell’era digitale. La frontiera della data literacy. In M. Ranieri (a cura di). Teoria e pratica delle new media literacies (pp. 99-133). Milano: Aracné. DOI: 10.4399/97888548940444
  31. Weller, M. (2011). The Digital Scholar: How Technology is Transforming Scholarly Practice. London: Bloomsbury Academic.
  32. Raffaghelli, J.E. (2019). Developing A Framework For Educators’ Data Literacy In The European Context: Proposal, Implications And Debate. In International Conference on Education and New Learning Technologies EDULEARN (pp. 10520-10530). Palma de Mallorca: IATED. DOI: 10.21125/edulearn.2019.2655
  33. Raffaghelli, J.E. (2020a). «Datificación» y Educación Superior: Hacia la construcción de un marco para la alfabetización en datos del profesorado universitario. Revista Interamericana de Investigación, Educación y Pedagogía, RIIEP, 13(1), 177-205. Recuperato da: https://revistas.usantotomas.edu.co/index.php/riiep/article/view/5466.
  34. Raffaghelli, J.E. (2020b). Is Data Literacy a Catalyst of Social Justice? A Response from Nine Data Literacy Initiatives in Higher Education. Education Sciences, 10(9), 233. DOI: 10.3390/educsci10090233
  35. Raffaghelli, J.E. (2020c). Analíticas de Aprendizaje ¿Un continente oscuro? Smart Papers Edul@b. Universitat Oberta de Catalunya, Barcelona.
  36. Raffaghelli, J.E., Manca, S., Stewart, B.E., Prinsloo, P., & Sangrà, A. (2020). Supporting the development of critical data literacies in higher education: building blocks for fair data cultures in society. International Journal of Educational Technologies in Higher Education, 17(58). DOI: 10.1186/s41239-020-00235-w
  37. Raffaghelli, J.E., & Stewart, B. (2020). Centering complexity in ‘educators’ data literacy’ to support future practices in faculty development: a systematic review of the literature. Teaching in Higher Education, 25(4), 435-455. DOI: 10.1080/13562517.2019.1696301
  38. Redecker, C., & Punie, Y. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. Joint Research Centre (JRC) Science for Policy report. DOI: 10.2760/159770
  39. Ridsdale, C., Rothwell, J., Smit, M., Ali-Hassan, H., Bliemel, M., Irvine, D., Kelley, D., Matwin, S., Wuetherick, B. (2015). Strategies and Best Practices for Data Literacy Education. DOI: 10.13140/RG.2.1.1922.5044
  40. Rogaten, J., Clow, D., Edwards, C., Gaved, M., & Rienties, B. (2020). Are Assessment Practices Well Aligned Over Time? A Big Data Exploration (pp. 147-164). Springer, Cham. DOI: 10.1007/978-3-030-41956-1_11
  41. Rose, C.P. (2019). Monolith, multiplicity, or multivocality: What do we stand for and where do we go from here? Journal of Learning Analytics, 6(3), 31-34. DOI: 10.18608/jla.2019.63.6
  42. Stephenson, E., & Schifter Caravello, P. (2007). Incorporating data literacy into undergraduate information literacy programs in the social sciences. Reference Services Review, 35(4), 525-540. DOI: 10.1108/00907320710838354
  43. Tim van der Zee. (2018). Open Educational Science. SocArXiv. DOI: 10.17605/OSF.IO/D9BME
  44. Tsai, Y.-S., & Gasevic, D. (2017). Learning analytics in higher education – challenges and policies. In (Wise, A., Winne, P., Lynch, G.), Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK ‘17 (pp. 233-242). New York: ACM Press. DOI: 10.1145/3027385.3027400
  45. Van Dijck, J. (2014). Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance and Society, 12(2), 197-208. DOI: 10.24908/ss.v12i2.4776
  46. Wasson, B., Hansen, C., & Netteland, G. (2016). Data Literacy and Use for Learning when using Learning Analytics for Learners. In S. Bull, B.M. Ginon, J. Kay, M.D. Kickmeier-Rust, & M.D. Johnson (Eds.). Learning Analytics for Learners, 2016 workshops at LAK (pp. 38-41). Edimburg: CEUR. Recuperato da: http://ceur-ws.org/Vol-1596/paper6.pdf.
  47. Weller, M. (2018). The Digital Scholar Revisited. The Digital Scholar: Philosopher’s Lab, 1(2), 52-71. DOI: 10.5840/dspl20181218
  48. Wilkerson, M.H., & Laina, V. (2017). Youth Reasoning With Interactive Data Visualizations. In P. Blikstein & D. Abrahamson. Proceedings of the 2017 Conference on Interaction Design and Children – IDC ‘17 (pp. 411-416). New York: ACM Press. DOI: 10.1145/3078072.3084302
  49. Williamson, B., Eynon, R., & Potter, J. (2020, April 2). Pandemic politics, pedagogies and practices: digital technologies and distance education during the coronavirus emergency. Learning, Media and Technology. Routledge. DOI: 10.1080/17439884.2020.1761641

  • Data Cultures in Higher Education Juliana E. Raffaghelli, Valentina Grion, pp.89 (ISBN:978-3-031-24192-5)

Juliana Elisa Raffaghelli, "Datificazione" e istruzione superiore: verso la costruzione di un quadro competenziale per una rinnovata Digital Scholarship in "EXCELLENCE AND INNOVATION IN LEARNING AND TEACHING" 0/2021, pp 127-147, DOI: 10.3280/exioa0-2021oa11132