Saggi e ricerche
2021: Special Issue - Faculty Development e Digital Scholarship: questioni di ricerca nell’istruzione superiore
Datafication and higher education: Towards a competence framework for a renewed digital scholarship
Franco Angeli Edizioni, Italy
Abstract
The “datafication” of processes and services is an emerging phenomenon, which is also leading to new forms of the digital divide. The university’s two main missions have entered fully into the dynamics of datafication starting from the digitization processes that have accompanied the university’s modernization processes and, more recently, the pandemic pedagogy. This article introduces a conceptual framework supporting the development of critical approaches to data practices in Higher Education Institutions, mainly connected to teaching and learning. The study is based on the review of a series of data literacy frameworks, including the European DigCompEdu. Considering the centrality of the aforementioned framework within European policies, in this study, it is adopted as a structural base. The framework for data literacy within the university teaching that follows is discussed in the light of professional development strategies useful for configuring usage scenarios. Such scenarios are not only relevant from a technological point of view, but also from an ethical and epistemological point of view, as part of a renewed approach to Digital Scholarship within smart learning environments.
References
- 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.
- 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.
- 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.
- 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.
- Central Advisory Council for Education (England). (1959). The Crowther Report. London. Recuperato da: http://www.educationengland.org.uk/documents/crowther/crowther1959-1.html.
- Cribb, J., & Sari, T. (2010). Open Science: Sharing Knowledge in the Global Century. Collingwood, Australia.: CSIRO Publishing.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Kennedy, H., Poell, T., & van Dijck, J. (2015). Data and agency. Big Data & Society, 2(2), 1-7. Doi: 10.1177/2053951715621569.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Raffaghelli, J.E. (2020c). Analíticas de Aprendizaje ¿Un continente oscuro? Smart Papers Edul@b. Universitat Oberta de Catalunya, Barcelona.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Tim van der Zee. (2018). Open Educational Science. SocArXiv. Doi: 10.17605/OSF.IO/D9BME.
- 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.
- 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.
- 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.
- Weller, M. (2018). The Digital Scholar Revisited. The Digital Scholar: Philosopher’s Lab, 1(2), 52-71. Doi: 10.5840/dspl20181218.
- Weller, M. (2011). The Digital Scholar: How Technology is Transforming Scholarly Practice. London: Bloomsbury Academic.
- 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.
- 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.