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POST-COVID-19 EDUCATION AND EDUCATION TECHNOLOGY “SOLUTIONISM”: A SELLER’S MARKET

Yıl 2020, Cilt: 4 Sayı: 2, 47 - 67, 31.12.2020

Öz

The Covid-19 pandemic and the social distancing that followed have affected all walks of society, also education. In order to keep education running, educational institutions have had to quickly adapt to the situation. This has resulted in an unprecedented push to online learning. Many, including commercial digital learning platform providers, have rushed to provide their support and ‘solutions’, sometimes for free. The Covid-19 pandemic has therefore also created a sellers’ market in ed-tech. This paper employs a critical lens to reflect on the possible problems arising from hasty adoption of commercial digital learning solutions whose design might not always be driven by best pedagogical practices but their business model that leverages user data for profitmaking. Moreover, already before Covid-19, there has been increasing critique of how ed-tech is redefining and reducing concepts of teaching and learning. The paper also challenges the narrative that claims, ‘education is broken, and it should and can be fixed with technology’. Such technologization, often seen as neutral, is closely related to educationalization, i.e. imposing growing societal problems for education to resolve. Therefore, this is a critical moment to reflect how the current choices educational institutions are making might affect with Covid-19 education and online learning: Will they reinforce capitalist instrumental view of education or promote holistic human growth? This paper urges educational leaders to think carefully about the decisions they are currently making and if they indeed pave the way to a desirable future of education.

Kaynakça

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Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki “Çözümcülük”: Satıcı Piyasası

Yıl 2020, Cilt: 4 Sayı: 2, 47 - 67, 31.12.2020

Öz

Covid-19 salgını ve beraberinde gelişen sosyal mesafe, eğitim dahil olmak üzere toplumun tüm kurumlarında etkisini gösterirken özellikle eğitim kurumunun, devam etme gerekliliğinden ötürü, pandemi koşullarına hızla uyum sağlaması gerekiyordu. Bu noktada çevrimiçi eğitim/öğrenme daha önce eşi benzeri görülmemiş bir ilgi ile karşılandı. Çoğu ticari dijital öğrenme platformu sağlayıcılarının da desteği ile “çözüm”e yönelik, genellikle ücretsiz erişim hakkına sahip, pek çok çevrimiçi tabanlı kurum ve kuruluşlar kuruldu ve hızla harekete geçirildi. Bu nedenle Covid-19 salgını, eğitim teknolojisinde bir satıcı piyasasının da önünü açmış oldu. Elinizdeki çalışma, tasarımı her zaman en iyi pedagojik uygulamalarla değil, kâr elde etmek için kullanıcı verilerini kullanan iş modelleriyle yönlendirilen, dijital öğrenme çözümlerinin ticari kaygılarla ve aceleyle benimsenmesinden kaynaklanan olası sorunlara kritik bir mercekten bakmayı amaçlamaktadır. Dahası, yeni eğitim teknolojisinin, Covid-19'dan önce, öğretme ve öğrenme kavramlarını nasıl yeniden tanımladığı ve indirgediğine dair artan eleştirilere de açıklık getirmeye çalışılacaktır. Makalemiz ayrıca “Eğitim bir çöküşte ve teknoloji ile düzeltilmesi gerekiyor/düzeltilebilir.” iddialarına da meydan okumaktadır. Genellikle tarafsızmış gibi görünen bu tür bir teknolojileştirme, -eğitimin çözmesi için büyüyen sosyal problemleri kendi bünyesine empoze etmek gibi- pek çok bakımdan pedogoglar, öğretmenler ve bizzat eğitim kurumunun kendisi ile yakından ilişkilidir. Bu nedenle, eğitim kurumlarının yaptığı mevcut seçimlerin Covid-19 eğitimi ve çevrimiçi öğrenmeyi nasıl etkileyebileceği noktası artık oldukça kritik bir andadır: Eğitim kurumları kapitalist araçsal eğitim görüşünü güçlendirecek mi yoksa bütüncül insan büyümesini teşvik edecek mi? Hazırlamış olduğumuz makale, eğitim liderlerini şu anda aldıkları kararlar ve gerçekten arzu edilen bir eğitim geleceğine giden yolu açıp açmadıkları konusunda dikkatlice düşünmeye teşvik etmektedir.

Kaynakça

  • August. https://www.theguardian.com/technology/2013/aug/23/tech-giants-data. Accessed 17 June 2020.
  • Bastani, A. (2019). Fully automated luxury communism: A manifesto. London and Brooklyn: Verso.
  • Bates, T., & Sangrà, A. (2011). Managing technology in higher education: strategies for transforming teaching and learning. San Francisco: Jossey-Bass.
  • Bayne, S. (2015). What’s the matter with ‘technology-enhanced learning’? Learning, Media and Technology, 40(1), 5–20. https://doi.org/10.1080/17439884.2014.915851.
  • Birch, K., Chiappetta, M., & Artyushina, A. (2020). The problem of innovation in technoscientific capitalism:data rentiership and the policy implications of turning personal digital data into a private asset. Policy Studies, 1–20. https://doi.org/10.1080/01442872.2020.1748264.
  • Broughan, C., & Prinsloo, P. (2019). (Re)centring students in learning analytics: In conversation with Paulo
  • Freire. Assessment & Evaluation in Higher Education, 1–12. https://doi.org/10.1080/02602938.2019.1679716.
  • Bulfin, S., Johnson, N., & Bigum, C. (Eds.). (2015). Critical perspectives on technology and education. New York: Palgrave.
  • Christensen, C. M., Horn, M. B., & Johnson, C. W. (2008). Disrupting class: How disruptive innovation will change the way the world learns. New York: McGraw-Hill.
  • Corrin, L., Kennedy, G., French, S., Shum, B., Simon, K., Pardo, A., West, D., Mirriahi (2019). The ethics of learning analytics in Australian higher education. A Discussion Paper.https://melbourne-cshe.unimelb.edu.au/research/research-projects/edutech/the-ethical-use-of-learninganalytics. Accessed 15 June 2020.
  • Couldry, N., & Yu, J. (2018). Deconstructing datafication’s brave new world. New Media & Society, 20(12),4473–4491. https://doi.org/10.1177/1461444818775968.
  • Cuban, L. (2004). The blackboard and the bottomline. Why schools can’t be businesses. Cambridge, MA: Harvard University press.
  • Cuban, L., & Jandrić, P. (2015). The dubious promise of educational technologies: Historical patterns and future challenges. E-Learning and Digital Media, 12(3–4), 425–439. https://doi.org/10.1177/2042753015579978.
  • Cuban, L., Kirkpatrick, H., & Peck, G. (2001). High access and low use of technologies in high school classrooms: Explaining an apparent paradox. American Educational Research Journal, 38(4), 813–834.
  • Czerniewicz, L. (2020). What we learnt from “going online” during university shutdowns in South Africa. Philon EdTech, 15 March. https://philonedtech.com/what-we-learnt-from-going-online-during-universityshutdowns-in-south-africa/. Accessed 22 April 2020.
  • DeFreitas, S., Gibson, D., Du Plessis, C., Halloran, P., Williams, E., Ambrose, M., Dunwell, I., & Arnab, S. (2015). Foundations of dynamic learning analytics: Using university student data to increase retention.British Journal of Educational Technology, 46(6), 1175–1188. https://doi.org/10.1111/bjet.12212.
  • Drachsler, H., & Greller, W. (2016). Privacy and learning analytics - It’s a DELICATE issue. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK ‘16 (pp. 89–98). https://doi.org/10.1145/2883851.2883893. Postdigital Science and Education
  • Doucet, A., Netolicky, D., Timmers, K., & Tuscano, F. J. (2020). Thinking about pedagogy in an unfolding pandemic: And independent report on approaches to distance learning during COVID19 school closures. https://issuu.com/educationinternational/docs/2020_research_covid-19_eng. Accessed 3 June 2020.
  • Fernback, J. (2018). Academic/digital work: ICTs, knowledge capital, and the question of educational quality. tripleC, 16(1), 143–158. https://doi.org/10.31269/triplec.v16i1.878.
  • Freire, P. (1970). The adult literacy process as cultural action for freedom. Harvard Educational Review, 40(2), 205–225.
  • Freire, P. (2018). Pedagogy of the oppressed (50th Anniversary ed.). New York: Bloomsbury.
  • Fuchs, C. (2020a). Communicative socialism/digital socialism. tripleC, 18(1), 1–31. https://doi.org/10.31269/triplec.v18i1.1144.
  • Fuchs, C. (2020b). Communication and capitalism: A critical theory. London: University of Westminster Press. https://doi.org/10.16997/book45.
  • Giroux, H. A. (2020a). The COVID-19 pandemic is exposing the plague of neoliberalism. Truthout, 7 April. https://truthout.org/articles/the-covid-19-pandemic-is-exposing-the-plague-of-neoliberalism/. Accessed 22 April 2020.
  • Giroux, H. A. (2020b). The plague of neoliberalism and the politics of pandemics. In B. Evans (Ed.), The quarantine files. Thinkers in Self-Isolation. Los Angeles: Los Angeles Review of Books. https://lareviewofbooks.org/article/quarantine-files-thinkers-self-isolation/. Accessed 15 May 2020.
  • Harwell, D. (2020). Mass school closures in the wake of the coronavirus are driving a new wave of student surveillance. Washington Post, 1 April. https://www.washingtonpost.com/technology/2020/04/01/onlineproctoring-college-exams-coronavirus/. Accessed 22 April 2020.
  • Hendrick, C. (2018). Challenging the “education is broken” and Silicon Valley narratives. researchED, 6 July. https://researched.org.uk/challenging-the-education-is-broken-and-silicon-valley-narratives/. Accessed 18 June 2020.
  • Herrington, J., Reeves, T. C., & Oliver, R. (2010). A guide to authentic e-learning. London: Routledge.
  • Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. EDUCAUSE Review. https://er.educause.edu/articles/2020/3/thedifference-between-emergency-remote-teaching-and-online-learning. Accessed 19 April 2020.
  • Howland, J. L., Jonassen, D. H., & Marra, R. M. (2011). Meaningful learning with technology (4th ed.). Boston: Pearson Education.
  • Illich, I. (1971). Deschooling society. New York: Harper & Row.
  • Jandrić, P. (2017). Learning in the age of digital reason. Rotterdam: Sense Publishers.
  • Jandrić, P. (2020a). Deschooling. In M. Peters (Ed.), Encyclopedia of teacher education. Singapore: Springer. https://doi.org/10.1007/978-981-13-1179-6_115-1.
  • Jandrić, P. (2020b). Postdigital research in the time of Covid-19. Postdigital Science and Education, 2(2), 233–238. https://doi.org/10.1007/s42438-020-00113-8.
  • Jarke, J., & Breiter, A. (2019). Editorial: The datafication of education. Learning, Media and Technology, 44(1), 1–6. https://doi.org/10.1080/17439884.2019.1573833.
  • Jones, R. (2018). Engineering cheerful robots: An ethical consideration. Information, 9(7), 152. https://doi.org/10.3390/info9070152.
  • Kahn, R., & Kellner, D. (2007). Paulo Freire and Ivan Illich: Technology, politics and the reconstruction of education. Policy Futures in Education, 5(4), 431–448. https://doi.org/10.2304/pfie.2007.5.4.431.
  • Klein, N. (2020). Screen new deal. The Intercept, 8 May. https://interc.pt/2WCdYLL. Accessed 11 May 2020.
  • Knox, J., Williamson, B., & Bayne, S. (2020). Machine behaviourism: Future visions of ‘learnification’ and ‘datafication’ across humans and digital technologies. Learning, Media and Technology, 45(1), 31–45. https://doi.org/10.1080/17439884.2019.1623251.
  • Koopman, C. (2019). How we become our data: The genealogy of the informational person. Chicago, IL: University of Chicago Press.
  • Labaree, D. F. (2008). The winning ways of a losing strategy: Educationalizing social problems in the United States. Educational Theory, 58(4), 447–460. https://doi.org/10.1111/j.1741-5446.2008.00299.x.
  • Lycett, M. (2013). ‘Datafication’: Making sense of (big) data in a complex world. European Journal of Information Systems, 22, 381–386. https://doi.org/10.1057/ejis.2013.10. Macgilchrist, F., Allert, H., & Bruch, A. (2020). Students and society in the 2020s. Three future ‘histories’ of education and technology. Learning, Media and Technology, 45(1), 76-89. https://doi.org/10.1080/17439884.2019.1656235.
  • Macgilchrist, F. (2019). Cruel optimism in edtech: When the digital data practices of educational technology providers inadvertently hinder educational equity. Learning, Media and Technology, 44(1), 77–86. https://doi.org/10.1080/17439884.2018.1556217. Postdigital Science and Education
  • McLaren, P., & Jandrić, P. (2020). Postdigital Dialogues. New York: Bloomsbury.
  • Mai, J.-E. (2016). Big data privacy: The datafication of personal information. The Information Society, 3(32), 192–199. https://doi.org/10.1080/01972243.2016.1153010.
  • Manolev, J., Sullivan, A., & Slee, R. (2019). The datafication of discipline: ClassDojo, surveillance and a performative classroom culture. Learning, Media and Technology, 44(1), 36–51. https://doi.org/10.1080/17439884.2018.1558237.
  • Marx, K. (1845). Theses on Feuerbach. In Marx and Engels Collected Works, MECW, volume 5(pp. 3–5). London: Lawrence & Wishart.
  • Mertala, P. (2019). Paradoxes of participation in the digitalization of education: A narrative account. Learning, Media and Technology, 45(2), 1–14. https://doi.org/10.1080/17439884.2020.1696362.
  • Mills, C. W. (2000). The sociological imagination. Oxford: Oxford University Press.
  • Mirrlees, T., & Alvi, S. (2020). EDTECH INC. Selling, automating and globalizing higher education in the digital age. New York & London: Routledge.
  • Peters, M. A., Jandrić, P., & Hayes, S. (2019). The curious promise of educationalising technological unemployment: What can places of learning really do about the future of work? Educational Philosophy and Theory, 51(3), 242–254. https://doi.org/10.1080/00131857.2018.1439376.
  • Postman, N. (1992). Technopoly: The surrender of culture to technology. New York: Alfred A. Knopf, Inc..
  • Prinsloo, P. (2019). Learning analytics: Mapping a critique and agenda. Journal of Learning Analytics, 6(3), 20–24.
  • Selwyn, N. (2010). Looking beyond learning: Notes towards the critical study of educational technology. Journal of Computer Assisted Learning, 26(1), 65–73. https://doi.org/10.1111/j.1365-2729.2009.00338.x.
  • Selwyn, N. (2019). What’s the problem with learning analytics? Journal of Learning Analytics, 6(3), 11–19. https://doi.org/10.18608/jla.2019.63.3.
  • Selwyn. N. (2020). After COVID-19: The longer-term impacts of the coronavirus crisis on education. Melbourne: Monash University. https://educationfutures.monash.edu/all%2D%2D-present/after-covid19. Accessed 19 April 2020.
  • Selwyn, N., Hillman, T., Eynon, R., Ferreira, G., Knox, J., Macgilchrist, F., & Sancho-Gil, J. M. (2020a). What’s next for Ed-Tech? Critical hopes and concerns for the 2020s. Learning, Media and Technology, 45(1), 1-6. https://doi.org/10.1080/17439884.2020.1694945.
  • Selwyn, N., Pangrazio, L., Nemorin, S., & Perrotta, C. (2020b). What might the school of 2030 be like? An exercise in social science fiction. Learning, Media and Technology, 45(1), 90–106. https://doi.org/10.1080/17439884.2020.1694944.
  • Siemens, G. [@gsiemens]. (2020). Research>pundits. A Google scholar search of prominent voices quickly reveals those who have earned the right to provide guidance [tweet]. Twitter. https://twitter.com/gsiemens/status/1246920826282110976. Accessed 6 April 2020. Simons, M., & Masschelein, J. (2008). The governmentalization of learning and the assemblage of a learning apparatus. Educational Theory, 58(4), 391–415. https://doi.org/10.1111/j.1741-5446.2008.00296.x.
  • Slade, S., & Prinsloo, P. (2013). Learning analytics: Ethical issues and dilemmas. American Behavioral Scientist, 57(10), 1510–1529. https://doi.org/10.1177/0002764213479366.
  • Srnicek, N. (2017). Platform capitalism. Cambridge and Malden: Polity Press.
  • St. Amour, M. (2020). Privacy and the online pivot. Inside Higher Ed, 25 March. https://www.insidehighered.com/news/2020/03/25/pivot-online-raises-concerns-ferpa-surveillance. Accessed 19 April 2020.
  • Strong, P. (1990). Epidemic psychology: A model. Sociology of Health & Illness, 12(3), 249–259.
  • Subramanian, S. (2020). How the face mask became the world’s most coveted commodity. The Guardian, 28 April. https://www.theguardian.com/world/2020/apr/28/face-masks-coveted-commodity-coronaviruspandemic. Accessed 17 June 2020.
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  • Teräs, H., & Kartoğlu, Ü. (2017). A grounded theory of professional learning in an authentic online professional development program. The International Review of Research in Open and Distributed Learning, 18(7). https://doi.org/10.19173/irrodl.v18i7.2923.
  • Teräs, H. & Teräs, M. (2019). Student-centered learning analytics development in higher education: Initial observations from needs analysis. In J. Theo Bastiaens (Ed.), Proceedings of EdMedia + Innovate Postdigital Science and Education Learning (pp. 488-492). Amsterdam, Netherlands: Association for the Advancement of computing in education (AACE). https://www.learntechlib.org/primary/p/210419/. Accessed 15 June 2020.
  • UNESCO. (2020). COVID-19 educational disruption and response. UNESCO https://en.unesco.org/covid19/educationresponse. Accessed 22 April 2020.
  • Watters, A. (2016). The curse of the monsters of education technology. Smashwords: Ebook.
  • Weller, M. (2015). MOOCs and the Silicon Valley narrative. Journal of Interactive Media in Education, 2015(1) https://jime.open.ac.uk/articles/10.5334/jime.am/.
  • Williamson, B. (2020a). Making markets through digital platforms: Pearson, edu-business, and the (e)valuation of higher education. Critical Studies in Education. https://doi.org/10.1080/17508487.2020.1737556.
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  • Williamson, B., Potter, J., & Eynon, R. (2019). New research problems and agendas in learning, media and technology: The editors’ wishlist. Learning, Media and Technology, 44(2), 87–91. https://doi.org/10.1080/17439884.2019.1614953.
  • Wolfson, L. (2013). Venture capital needed for ‘broken’ U.S. education, Thrun says. Bloomberg, 18 June. https://www.bloomberg.com/news/articles/2013-06-18/venture-capital-needed-for-broken-u-s-educationthrun-says. Accessed 20 April 2020.
  • Žižek, S. (2020). Pandemic! COVID-19 shakes the world. New York & London: OR Books.
  • Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. London: PublicAffairs.
Toplam 78 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sosyoloji
Bölüm Çeviri
Yazarlar

Marko Teräs Bu kişi benim

Juha Suoranta Bu kişi benim

Hanna Teräs Bu kişi benim

Mark Curcher Bu kişi benim

Çevirmenler

Mustafa Demirkan

Yayımlanma Tarihi 31 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 4 Sayı: 2

Kaynak Göster

APA Teräs, M., Suoranta, J., Teräs, H., Curcher, M. (2020). Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki “Çözümcülük”: Satıcı Piyasası (M. Demirkan, çev.). Sosyoloji Notları, 4(2), 47-67.
AMA Teräs M, Suoranta J, Teräs H, Curcher M. Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki “Çözümcülük”: Satıcı Piyasası. sosnot. Aralık 2020;4(2):47-67.
Chicago Teräs, Marko, Juha Suoranta, Hanna Teräs, ve Mark Curcher. “Post-Covid-19, Eğitim Ve Eğitim Teknolojisindeki ‘Çözümcülük’: Satıcı Piyasası”. çeviren Mustafa Demirkan. Sosyoloji Notları 4, sy. 2 (Aralık 2020): 47-67.
EndNote Teräs M, Suoranta J, Teräs H, Curcher M (01 Aralık 2020) Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki “Çözümcülük”: Satıcı Piyasası. Sosyoloji Notları 4 2 47–67.
IEEE M. Teräs, J. Suoranta, H. Teräs, ve M. Curcher, “Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki ‘Çözümcülük’: Satıcı Piyasası”, sosnot, c. 4, sy. 2, ss. 47–67, 2020.
ISNAD Teräs, Marko vd. “Post-Covid-19, Eğitim Ve Eğitim Teknolojisindeki ‘Çözümcülük’: Satıcı Piyasası”. Sosyoloji Notları. Mustafa DemirkanTrc 4/2 (Aralık 2020), 47-67.
JAMA Teräs M, Suoranta J, Teräs H, Curcher M. Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki “Çözümcülük”: Satıcı Piyasası. sosnot. 2020;4:47–67.
MLA Teräs, Marko vd. “Post-Covid-19, Eğitim Ve Eğitim Teknolojisindeki ‘Çözümcülük’: Satıcı Piyasası”. Sosyoloji Notları, çeviren Mustafa Demirkan, c. 4, sy. 2, 2020, ss. 47-67.
Vancouver Teräs M, Suoranta J, Teräs H, Curcher M. Post-Covid-19, Eğitim ve Eğitim Teknolojisindeki “Çözümcülük”: Satıcı Piyasası. sosnot. 2020;4(2):47-6.