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Session Overview
Session
16 SES 16 A: Comparison of ICT Use Across Countries
Time:
Friday, 25/Aug/2023:
1:30pm - 3:00pm

Session Chair: László Horváth
Location: Gilmorehill Halls (G12), 217A [Lower Ground]

Capacity: 30 persons

Paper Session

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Presentations
16. ICT in Education and Training
Paper

Constructing National Strength and Global Prominence: Narratives of EdTech Use in Contemporary Indian and Chinese Discourses

Prateeksha Tiwari

University of Vienna, Austria

Presenting Author: Tiwari, Prateeksha

This paper will examine the discourses of Information and Communication Technology-based educational technologies (henceforth referred to as EdTech) in contemporary Indian and Chinese policyscape and how ambitious narratives of future are built on the backbone of EdTech-based educational reforms. The paper will be a conceptual analysis conducted using Jasanoff’s concept of sociotechnical imaginaries and Bacchi’s WPR approach.

Background

From being another tool in the pedagogue’s arsenal to a revolutionary force which could cure ills endemic to educational systems, educational policies in many nation-states now routinely deem EdTech as the driver of socioeconomic transformation and global domination. It has simultaneously generated and has been accompanied by a rich discourse on knowledge economy/information society and an ever increasingly hyperconnected world shaped by supranational policy advocacy organisations, mega tech corporations, and philanthrocapitalists.

These globally circulating ideas become sedimented in different national contexts in the form of what Jasanoff and Kim term as sociotechnical imaginaries, i.e., “collectively imagined forms of social life and social order reflected in the design and fulfilment of nation-specific scientific and/or technological projects.” Such visions, and the policies built upon them, have the power to influence technological design, channel public expenditures, and justify the inclusion or exclusion of citizens with respect to the benefits of technological progress.

It is interesting to note that states with vastly different political and social systems can have very similar sociotechnical imaginaries and the projected ideal futures–which is to say, that these states may assign similar roles or weightages to edtech in order to realise futures with common characteristics such as global domination, economic prosperity, national strength, and a stable society. Recent educational policy developments in China and India are a very good example.

As two nations gaining independence from hostile rule at roughly the same time, China and India have evolved with very different political and economic systems, social organisation, and foreign engagement. Both have struggled through geopolitical instability, economic sanctions, and social unrest to become among the largest economies in the world. As the centennial anniversary of both nations’ independence (China in 2049, India in 2047) draws closer, it is natural that they have lofty ambition of becoming global powers. In 2012, Xi Jinping set the goal for China in 2049 to become "strong, democratic, civilised, harmonious, and modern socialist country." More recently in August 2022, Narendra Modi announced the goal of India as a developed country in 2047 along with “removing traces of colonial mindset, unity and a sense of duty among the citizens.”

Central to the realisation of these goals is reform and development of education, and recently, EdTech. The linking of use of EdTech with the overarching goal of national development can be investigated with the concept of sociotechnical imaginaries. Policies on education and/or EdTech thus provide unique sites for exploring the role of political culture and practices in stabilising particular imaginaries, as well as the resources that must be mobilised to represent technological trajectories as being in the “national interest.” Bacchi’s concept of problematisation can help us examine the specific manner in which the ‘problem’ of rural education is defined and how EdTech is proposed as the solution.

Research question

How is rural education problematised in contemporary Indian and Chinese policy discourses on EdTech?


Methodology, Methods, Research Instruments or Sources Used
The proposed research paper is a part of my doctoral project which is in an early stage at present. The doctoral project comprises both desk-based and field-based research. In the initial stage of research and for the purpose of this paper, I will be focusing on a few key policy documents issued by the respective Ministries of Education (MoE) of India and China.

Indian documents:
National Education Policy 2020
National Policy on Information and Communication Technology (ICT) In School Education


Chinese documents:
Educational Informatization 2.0 Action Plan    
Chinese Education Modernization 2035  
2022 Educational Informatization Work Key Points

Two key conceptual frameworks are employed in this research. The first is Jasanoff's framework of sociotechnical imaginaries which will be used to examine the discursive framing of EdTech to achieve larger goals of national socioeconomic development and global prominence. This framework is inherently comparative in nature. As Jasanoff contends, the comparative aspect of the concept helps see clearly the political nature of science and technology policies as well as the role played by political and cultural institutions in the formation of these imaginaries.

The second is Bacchi’s framework of What’s the Problem Represented to be? (WPR). Bacchi’s concept of problematisation will be used to examine and analyse how these policy documents ‘problematise’ rural education and posit EdTech as a solution.

The ‘problem’ of rural education is understood as one the resolution of which is supposed to accelerate the process of socioeconomic transformation (read: urbanisation), and preparation of a high-skilled labour force suited to work in a knowledge economy of the future–both which together will boost national strength and the relevance of these two nations on a global stage. This paper will develop these arguments in a rigorous manner using the aforementioned source materials and conceptual frameworks.

Conclusions, Expected Outcomes or Findings
As the first part of my doctoral research, this paper should help observe and examine:
Discursive formation of rural education as an obstacle to be overcome and EdTech as the most suitable solution

Discursive linkage of EdTech use in rural education with a vision of the future in which the nation is strong and globally prominent.

Political and cultural factors which influence policy and discourse of EdTech

Similarities and dissimilarities between Indian and Chinese understandings of EdTech as a tool for educational and greater national socioeconomic reform

References
Bacchi, Carol Lee. Analysing Policy: What's the Problem Represented to Be? Pearson, 2009. Accessed 31 January 2023.

Gallagher, Michael, and Jeremy Knox. “Global technologies, local practices.” Learning, Media and Technology, vol. 44, no. 3, 2019, pp. 225-234.

Jasanoff, Sheila, and Sang-Hyun Kim. “Containing the Atom: Sociotechnical Imaginaries and Nuclear Power in the United States and South Korea.” Minerva, no. 47, 2009, pp. 119-146, https://link.springer.com/article/10.1007/s11024-009-9124-4.

Jasanoff, Sheila, and Sang-Hyun Kim. Dreamscapes of Modernity: Sociotechnical Imaginaries and the Fabrication of Power. Edited by Sang-Hyun Kim and Sheila Jasanoff, University of Chicago Press, 2015. Accessed 31 January 2023.

“Making Politics Visible: The WPR Approach.” Poststructural Policy Analysis: A Guide to Practice, by Susan Goodwin and Carol Bacchi, Palgrave Macmillan US, 2016, pp. 13-26. Accessed 31 January 2023.

MoE, India. “National Education Policy 2020.” Ministry of Education, 2021, https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf. Accessed 31 January 2023.

MoE, India. “National Policy on Information and Communication Technology (ICT) In School Education Department of School Education and Litera.” Ministry of Education, 23 March 2012, https://www.education.gov.in/sites/upload_files/mhrd/files/upload_document/revised_policy%20document%20ofICT.pdf. Accessed 31 January 2023.

MoE, PRC. “教育部关于印发《教育信息化2.0 行动计划》的通知.” 中华人民共和国教育部, 25 April 2018, http://www.moe.gov.cn/srcsite/A16/s3342/201804/t20180425_334188.html. Accessed 31 January 2023.

MoE, PRC. “关于印发《教育部教育管理信息中心2022年工作要点》的通知.” 教育部教育管理信息中心, 25 March 2022, http://www.emic.edu.cn/zxdt/202203/t20220325_32611.html. Accessed 31 January 2023.

Pearson, Emma, et al. Teaching in Primary Schools in China and India: Contexts of Learning. Taylor & Francis Group, 2018. Accessed 31 January 2023.

State Council. “中共中央、国务院印发《中国教育现代化2035》_最新政策.” 中国政府网, 23 February 2019, http://www.gov.cn/zhengce/2019-02/23/content_5367987.htm. Accessed 31 January 2023.


16. ICT in Education and Training
Paper

Understanding the Human Side of Digital Transformation: Socio-Cultural Comparison of Hungarian and Russian School Education Systems

Nikita Kotik1, László Horváth2, Diana Koroleva1

1Institute of Education, Higher School of Economics, Moscow, Russian Federation; 2Institute of Education, ELTE Eötvös Loránd University, Budapest, Hungary

Presenting Author: Horváth, László; Koroleva, Diana

Digital transformation in education became a topic which a great deal of reflection due to experiences in COVID-19 related school closures. The sudden change to online education prompted a number of research in different national education systems (Russia: Koroleva, Naushirvanov, 2021; Hungary: Czirfusz et al, 2020; Horváth et al, 2021). Previous research focused on teachers’ digital competence, technology readiness, technology acceptance or generally on the processes of the emergence and diffusion of digital educational innovations (Badri et al, 2014; El Alfy et al, 2017; Halász, 2018; Horváth, 2017; Horváth et al, 2020).

Despite the global trend and the commonality of the digitalization task, the applied policies of different countries are an excellent example of the diversity of strategies for the transformation of national educational systems. This diversity is possible also because of the specific cultural context (Voogt J. et al., 2017; Klievink B. et al., 2017). Cultural and state-level characteristics determine readiness to embrace and integrate modern technologies, as well as set the direction of the modernization process in education. Digital technologies in turn lead to changes in the culture of communication, policy implementation, and daily routine practices (Selwyn, 2012). Investigation of the impact cultural patterns have on digitalization of education, and how new technologies change cultural attitudes and practices in different countries can be seen as one of the explanatory models.

Few studies take into consideration the cultural patterns that could influence successful digital transformation in education systems. The main aim of our paper is to provide a comparative perspective by examining factors related to successful digital transformation in Russian and Hungarian education systems. By conducting a joint study on teachers’ technology readiness, attitudes towards educational technologies and cultural values in both countries we provide a deeper understanding of the underlying cultural patterns that could influence processes of digital transformation.

Digital transformation of the educational systems and implementation of digital technologies in the educational process can be still considered as an innovation for many teachers. Taking into account the socio-cultural specifics of these processes, on the one hand, expands the understanding of individual factors stimulating or blocking the course of transformation for each teacher individually. In order to facilitate transformational processes here we can talk about targeted support strategies for teachers with different attitude profiles regarding the use of technology. On the other hand, differences or similarities among socio-cultural patterns at the country level can form the basis that may inform national and supranational digitalization strategies. Here the discussion on possibilities for globalized solutions in the diverse cultural contexts of Europe.

A comparative perspective of two countries (Russia and Hungary) allows a deeper understanding of digitalisation processes as well as identifying the universal and specific relationships between individual and organizational level factors. Those two cases can be seen as two different frames with which it is convenient to compare. The selection of specific cultural characteristics from a known model (Hofstede’s cultural dimensions model) as well as individual characteristics measured by known instruments (Technology readiness index, Unified theory of acceptance and use of technology) makes it possible to define an approach that is easily replicable in other countries.


Methodology, Methods, Research Instruments or Sources Used
In this study, the cultural specificity of the use of technology in education is analyzed in three main directions. At the macro level, the interpretation of practices and attitudes is guided by country differences in cultural dimensions. At the individual level, the relationship between practices, individual attitudes and values is analyzed. Meso level analysis is conducted by including organizational factors (innovative climate, openness and dynamism of the organizational environment of schools)
At the individual level, socio-cultural factors are measured using an online survey in Russian and Hungarian schools. The data collection methodology implies receiving answers from at least 70% of school employees, which in turn allows supplementing the analysis with the organizational characteristics of educational organizations.
The TRI (Parasuraman, Colby, 2015) and UTAUT (Venkatesh, Davis, & Davis, 2003)  models are used as measuring tools, which make it possible to obtain both deep beliefs about technologies in a broad sense (propensity to use technology), and the point attitudes towards direct educational technologies and services. Cultural dimensions at the individual level are measured using CVSCALE (Yoo, Donthu, & Lenartowicz, 2011). This methodology has been adapted and validated specifically to work with Hofstede's Five Dimensions of Cultural Values at the Individual Level. The main organizational characteristics included in the analysis at the meso level are the innovative climate, openness and dynamism of the educational institution. To measure them, the Innova methodology (Halász, 2018) is used.
Data collection is carried out by synchronized survey tools. Data for the Russian sample was collected at the end of 2021 and includes responses from teachers from 55 schools (n=2200). The data in Hungary was collected in early spring 2022. The sample is representative of the Hungarian school system (n = 1580). Structural equation modeling was used for comparative analysis at the individual level. Measurement invariance was tested for all compared concepts. Hierarchical regression was used for the analysis at the level of educational organizations.

Conclusions, Expected Outcomes or Findings
In terms of preliminary results, we predict significant differences in socio-cultural patterns of technology use for educational purposes at both individual and organizational levels.
Mainly, this hypothesis comes from the large differences in the Hofstede’s country cultural dimensions scores (Power distance RU/HU: 93/46, Individualism: 80/39, Masculinity: 36/88, Uncertainty avoidance: 95/82, Long-Term Orientation: 81/58), which in fact puts Russia and Hungary on the opposite sides of the continuum. At the same time, there are normative and contextual differences that are growing out of different approaches to adopting a digitalization strategy in Russia and Hungary (Koroleva, Naushirvanov, 2021). While the Hungarian reform approach relies more on bottom-up logic than the Russian top-down policy structure, the agenda for comprehensive digitalization of the education system is still more focused on infrastructural issues than on teachers’  human capital development.
The empirical data showed us interesting insides regarding individual level. The strongest indirect effects were found along the lines of Long-Term orientation, Optimism, Innovativeness, and Expected Effort and Effectiveness regarding the use of technology in learning. This confirms the importance of communicating the long-term benefits of digital technology to teachers, regardless of country differences. We also detected culturally based differences in perceptions of control over technology and similarities in the devaluation of professional development programs.
An analysis of the relationship between attitudes and real practices in the use of technology will open up the possibility of formulating targeted recommendations for developing the potential of different types of teachers. At the meso-level, however, understanding how environmental characteristics relate to both teachers' attitudes and practices opens up space for informed managerial decisions. Finally, the contribution of the results will allow developing a discussion around a human-centered targeted approach to the digitalization of education both in Europe and in Russia.

References
Badri M., Al Rashedi A., Yang G., Mohaidat J., Al Hammadi A. (2014). Technology Readiness of School Teachers: An Empirical Study of Measurement and Segmentation. Journal of Information Technology Education, 13, 257–275.
Czirfusz, D., Misley, H., & Horváth, L. (2020). A digitális munkarend tapasztalatai a magyar közoktatásban. Opus et Educatio, 7(3), 220-229. DOI: 10.3311/ope.394
El Alfy S., Gómez J. M., Ivanov D. (2017). Exploring instructors’ technology readiness, attitudes and behavioral intentions towards e-learning technologies in Egypt and United Arab Emirates // Education and Information Technologies, 22(5), 2605–2627.
Halász, G. (2018). Measuring innovation in education: The outcomes of a national education sector innovation survey. European Journal of Education, 53(4), 557-573. DOI: 10.1111/ejed.12299
Horváth, L., Czirfusz, D., Misley, H. & N. Tóth, Á. (2021). Alkalmazkodási stratégiák a távolléti oktatás során hallgatói, oktatói és intézményi szinten. Neveléstudomány, 3. 23-42. DOI: 10.21549/NTNY.34.2021.3.2
Horváth, L., Misley, H., Hülber, L., Papp-Danka, A., M. Pintér, T., & Dringó-Horváth, I. (2020). Tanárképzők digitális kompetenciájának mérése – a DigCompEdu adaptálása a hazai felsőoktatási környezetre. Neveléstudomány, 2. 5-25. DOI: 10.21549/NTNY.29.2020.2.1
Horváth, L. (2017). A szervezeti tanulás és az innováció összefüggései a magyar oktatási rendszer alrendszereiben. Neveléstudomány, 4. 44-66. DOI: 10.21549/NTNY.20.2017.4.3
Klievink, B., Neuroni, A., Fraefel, M., & Zuiderwijk, A. (2017). Digital strategies in action: A comparative analysis of national data infrastructure development. In Proceedings of the 18th Annual International Conference on Digital Government Research (pp. 129-138).
Королева Д. О., Науширванов Т. О. Digital countries: особенности цифровизации образования в России, Венгрии и Германии. Образовательная политика. 2021. Т. 87. № 3. С. 106-118.
 Parasuraman A. Colby C. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74.

Selwyn, N. (2012). Education in a digital world: Global perspectives on technology and education. Routledge.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), p. 425-478.

Voogt, J., & McKenney, S. (2017). TPACK in teacher education: Are we preparing teachers to use technology for early literacy?. Technology, pedagogy and education, 26(1), 69-83.

Yoo, B., Donthu, N., & Lenartowicz, T. (2011). Measuring Hofstede's Five Dimensions of Cultural Values at the Individual Level: Development and Validation of CVSCALE. Journal of International Consumer Marketing, 23(3-4), 193-210, DOI: 10.1080/08961530.2011.578059


 
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