Published at : 27 Dec 2021
Volume : IJtech
Vol 12, No 7 (2021)
DOI : https://doi.org/10.14716/ijtech.v12i7.5343
Vladimir V. Godin | State University of Management, 99 Ryazanskii prospect, Moscow, 109542, Russia |
Anna Terekhova | State University of Management, 99 Ryazanskii prospect, Moscow, 109542, Russia |
The paper examines the possible effects of information
and communication technologies (ICT) on educational institutions (four
directions of impacts and four axes of measuring changes—pedagogy, technology,
organization, and economics). The authors propose to use four classes of models
to describe all forms of technology-based education and possible
transformations of educational institutions under the influence of ICT to
analyze the modern experience of digital transformation: a value chain model
describing the primary and secondary activities of an educational institution;
a diagram of added quality chains describing the sequence of actions carried
out by an educational institution; a model of the routine loop of a teacher
(employee) of an educational institution, describing his/her daily activities,
taking into account the use of software products and computer and communication
technology, displayed at the appropriate place in the value chain; the event
chain of the process, detailing the description of the routine loops of
teachers (employees) and trainees, describing the logic of their actions,
incoming and outgoing information, information systems used, and all types of
interactions in the educational process between a trainees and a teacher, a
trainee and training material, and a trainee and his own himself. As a result,
a tool has been created to describe and research all modern forms of
technological education and their digital transformation.
Digital transformation of education; Digital transformation of education process modeling; Technology-based education
Education, as a branch of the economy and as a
system and process of knowledge transfer, is subject to the same changes that
are currently undergoing in all areas of human activity under the influence of
information and communication technologies (ICT). First, education as an
industry undergoes digitalization processes and becomes part of the digital
economy. Second, the rapid development of ICT brings these technologies to the
forefront as a tool for transforming the education process itself as a system of
knowledge transfer. Third, due to its interdisciplinarity, ICTs serve as an
object of study and change the content of educational programs for almost all
profiles.
Possible directions of transformation of education under the influence of ICT are determined by four related areas within which it is possible to monitor changes in educational organizations (EOs): pedagogy, technology, management, and economics.
Within the framework of pedagogy, one can distinguish between traditional education, technology-based education, and hybrid models as models of convergence of traditional education and technology-based education. The field of “technologies” describes the ICT used for the educational process. Changes in the organization are associated with the use of ICT for the management of educational institutions. The fourth area of change is the economic model of delivering or providing education. The changes in education in these four directions for different but interrelated dynamics that need to be studied.
It is possible to distinguish generations of
technologies and link them with educational models as Taylor
(2001) did: from printed materials and distance learning to electronic
content and flexible learning models. It should be noted that the educational
process can be divided into following phases: (1) development of educational
content and its demonstration; (2) consolidation of educational material; (3)
control of knowledge and activity; and (4) assessment. In this case, the
technological strengthening of the educational process is mainly associated
with the use of various software products for training at the appropriate phases
of the educational process, for example, tutor programs and electronic
textbooks, business games, semantic networks, glossaries, simulation and
digital twins, subject-oriented systems, virtual and augmented reality,
artificial intelligence, test programs, etc. (Gillpatrick, 2020;
Newman, 2017).
Thus, the development of ICT has predetermined the evolution of forms
and methods of technology-based education and the formation of a modern
environment of an educational institution. The use of technology and automation
play a significant role in increasing productivity in education and will
continue to do so (Berawi, 2020). Specific types of such education can be described as a wide range of
forms, for example, electronic self-education through video materials; training
in social networks; training in virtual environments; distance learning;
e-learning environments with a learning management system (LMS; e.g., Moodle,
Sakai, Blackboard, WebCT, Canvas, etc.), and with a virtual educational
environment (Schmidt and Tang, 2020).
A large number of studies have been devoted to the peculiarities of
technology-based education. Their systematization was carried out on the basis
of the Delphi expert evaluation method (Zawacki-Richter, 2009). In research
scheme, there are three levels of classification of research names in the field
of technology-based education. Research classes are defined at each such level:
1. Macro—systems and theories
(access, equality, and ethics; globalization of education and cross-cultural
aspects; educational systems and institutions; theories and models; and
research methods and knowledge transfer).
2. Meso—management,
organization, and technologies (management and organization; costs and
benefits; educational technologies; innovations and changes; professional
development and supervision; student -support services; and quality assurance).
3. Micro—teaching and
learning (pedagogical design; interaction and communication in educational
communities; and characteristics of trainees).
These three levels, with the corresponding classes of research
directions, comprehensively describe and position all research and
publications. There are reviews of research that match the specified levels and
classes (Zawacki-Richter, 2009; Zawacki-Richter and
Naidu, 2016; Zawacki-Richter and Latchem, 2018; Fermín González, 2019; Y?ld?z
et al., 2020; Bozkurt and Zawacki-Richter, 2021). These reviews
highlight the concepts that repeat over time. These concepts include computer,
students, ICT, schools, models or training, which combine various thematic areas
and concepts, and individual and collective studies.
The modern idea of using ICT in education (in the industry, in the system, and in the process of knowledge transfer) is the example of digital transformation. First, the use of digital twins, virtual and augmented reality, human-machine interaction technologies etc. transforms the learning process itself. Second, the same technologies transform the functions and processes of an EO and therefore lead to the transformation of organization into a digital business company with continuous registration and identification of events, forecasting and decision-making based on event brokers, big data analytics, cloud computing, blockchains and smart contracts, artificial intelligence and machine learning, and other technologies. This work is focused mainly on the transformation of education itself as a system and the process of knowledge transfer.
The purpose of the work is to build models to describe the digital transformation of education and educational institutions. In the total volume of the global education market before the COVID-19 pandemic, the share of any form of technology-based education varied from 1 to 3%. The forced transition to on-line education due to the pandemic has led to an expansion of the forms and the scope of technology-based education. Most likely, this will not lead to a long-term “technological revolution” (Altbach, Wit, 2020), but it may help strengthen the process of forming a small number of elite, offline educational institutions and a large number of mass online educational projects. In any case, considering the possibilities of digital transformation of education in the development strategies of educational institutions remains important and relevant. This relevance is explained by the fact that in modern conditions, the strategies of EOs are primarily determined by the capabilities of ITC used, but formulation of innovation strategy in education to increase productivity relies on both organizational and strategic innovations and innovations in information systems (Dachyar et al., 2015).
ICT
are an essential driver of the evolution of the modern education forms. Under
their influence, the environment of functioning, EOs themselves, and the
educational process are changing. The current phase of such an impact of ICT on
the education sector is digitalization.
It
is necessary to solve the problem of describing the impact of processes of
manifestation of the ICT on education. Since modeling is a natural and often
the only way to study the surrounding world, building models of such a
manifestation seems to be a reasonable way of research. The proposed types of
models allow to describe various forms of educational institutions that arise
under the influence of ICT and the processes carried out in them, including the
process of education with the observed types of interactions within the
educational environment. Generalized organizational forms of educational
institutions, depending on the nature of the use of ICT in them, are shown in
Figure 4. Each of these forms will correspond to a specific value chain in
terms of the routine loops used and the sequence of their use in the primary
and secondary activities of an EO (mapping processes in the organization and
the learning process).
Comparison between value chains with the respective value chains of competitors and the average industry value chain allows to assess the contribution of already used ICTs in EOs. It also allows to figure out in which part of the business processes and functions the EO lags behind or outstrips competitors or the average indicators for the industry. For example, in a generalized form, the value chain of a traditional educational institution is shown in Figure 2. A detailed “learning process” action is represented by a sequence of routine loops: development of educational materials, demonstration of educational content, consolidation of acquired knowledge, and knowledge control. Each of these routine loops can be transformed with the help of specialized ICTs. So, an EO that has implemented an LMS is changing all four routine loops within the learning process. And it will change the scale of the appeal to students, create technological barriers for other EOs to enter the same market, change the requirements for their own teachers and students, and much more. Further detailing of the description of the listed routine loops is carried out using eEPC models (as shown in Figure 3), which allows describing each routine loop in the following aspects: event-action (algorithm), input and output information for each action, personnel units or trainee for the execution of the action, and used ICT. Depending on the goals, the described models can be constructed, first, in the “modeling object” dimension: own EO, competitor organizations, description of a medium-sized conditional EO, and second, in the format “as is” or “to be.”
The conducted research supports educational institutions in building a tool for deciding the required portfolio of ICT applications and realizing their digitalization program. Of course, when implementing this program, an educational institution should consider the applicability of the different forms of education based on technologies in personnel, technological, organizational, customer, and legal aspects.
Altbach, P.G., Wit, H., 2020. Post Pandemic Outlook for HE is
Bleakest for the Poorest. University Worldd News. The Global Window on Higher
Education. Available Online at
https://www.universityworldnews.com/post.php?story=20200402152914362, Accessed
on December 21, 2021
Asvial, M.,
Mayangsari, J., Yudistriansyah, A., 2021. Behavioral Intention of E-Learning: A
Case Study of Distance Learning at a Junior High School in Indonesia due to the
Covid-19 Pandemic. International Journal of Technology, Volume 12(1),
pp. 54–64
Berawi, M.A., 2020. Empowering Healthcare,
Economic, and Social Resilience during Global Pandemic Covid-19. International
Journal of Technology, Volume 11(3), pp. 436–439
Bozkurt, A., 2020. Educational Technology
Research Patterns in the Realm of The Digital Knowledge Age. Journal of
Interactive Media in Education, 2020(1), pp. 1–17
Bozkurt, A., Zawacki-Richter, O., 2021.
Trends and Patterns in Distance Education (2014–2019): A Synthesis of Scholarly
Publications and a Visualization of the Intellectual Landscape. The
International Review of Research in Open and Distributed Learning, Volume
22(2), pp. 19–45
Cisel,
M.T., Pontalier, D., 2021. Knowledge Marketplaces: An Analysis of the
Influence of Business Models on Instructors’ Motivations and Strategies. The
International Review of Research in Open and Distributed Learning, Volume 22(3),
pp. 142–158
Dachyar,
M., Yadrifil, Pratama, N.R., 2015. Development of
Strategy Model for Organizational. International Journal of Technology,
Volume 6(2), pp. 284–290
Fermín González, M., 2019. Research on
Virtual Education, Inclusion, and Diversity: A Systematic Review of Scientific
Publications (2007–2017). The International Review of Research in Open
and Distributed Learning, Volume 20(5), pp. 146–167
Gillpatrick, T., 2020.
Innovation and the Digital Transformation of Education. The Journal of
Limitless Education and Research, Volume 5(3), pp. 194-202
Guàrdia, L., Clougher, D., Anderson, T.,
Maina, M., 2021. IDEAS for Transforming Higher Education: An Overview of
Ongoing Trends and Challenges. The International Review of Research in
Open and Distributed Learning, Volume 22(2), pp. 166–184
Gurcan, F., Ozyurt, O., Cagitay, N.E., 2021.
Investigation of Emerging Trends in the E-Learning Field using Latent Dirichlet
Allocation. The International Review of Research in Open and
Distributed Learning, Volume 22(2), pp. 1–18
Koroleva,
E., Kuratova, A., 2020. Higher Education and Digitalization of the Economy: The
Case of Russian Regions. International Journal of Technology, Volume
11(6), pp. 1181–1190
Lynch, M.M., 2002. The Online Educator: A
Guide to Creating the Virtual Classroom. New York: Routledge Falmer Studies
in Distance Education
Martin, F., Sun, T., Turk, M., Ritzhaupt,
A., 2021. A Meta-Analysis on the Effects of Synchronous Online Learning on
Cognitive and Affective Educational Outcomes. The International Review of
Research in Open and Distributed Learning, Volume 22(3), pp. 205–242
Moore, M.G., 1997. Theory of
Transactional Distance. In D. Keegan, (ed.), Theoretical Principles of
Distance Education. New York: Routledge, pp. 22–38
Moore, M.G.,
Kearsley, G., 1996. Distance Education: A Systems View. Belmont, CA:
Wadsworth Pub. Co. Available Online at
https://archive.org/details/distanceeducatio0000moor/page/n9/mode/2up, Accessed
on December 21, 2021
Newman, D., 2017.
The Top Six Transformational Trends In Education, Forbes, (July). Available
online at https://www.forbes.com/sites/danielnewman/2017/07/18/top-6-digitaltransformation-trends-in-education/#6912114e2a9a
Petrusevich D.A., 2020. Modern Trends in
the Digitalization of Education. Journal of Physics: Conference Series, https://doi.org/10.1088/1742-6596/1691/1/012223,
Accessed on
Porter, M.E., 1985. The Competitive Advantage:
Creating and Sustaining Superior Performance. New York: Free Press
Reigeluth, C.M., Carr-Chellman, A.A., 2009.
Instructional-design Theories and Models: Building a Common Knowledge Base,
Volume 3, New York: Routledge
Scheer, A.W., 1998. Business Process
Engineering Study Edition. Reference Models for Industrial Enterprises.
Berlin, Heidelberg: Springer
Schmidt, J.T., Tang, M., 2020. Digitalization
in Education: Challenges, Trends and Transformative Potential. In: Harwardt
M., Niermann P.J., Schmutte A., Steuernagel A. Führen und Managen in der
digitalen Transformation. Springer Gabler, Wiesbaden
Suwartha, N.,
Berawi, M.A., 2019. The Role of UI GreenMetric as a Global Sustainable
Rankings for Higher Education Institutions. International Journal of Technology,
Volume 10(5), pp. 862–865
Taylor, J., 2001. 5th Generation
Distance Education. Higher Education Series, Report
No. 40, 2001, pp. 1–8. Available Online at
http://www.c3l.uni-oldenburg.de/cde/media/readings/taylor01.pdf, Accessed on
December 21, 2021
Tietjen,
P., Asino, T.I., 2021. What Is Open Pedagogy? Identifying
Commonalities. The International Review of Research in Open and
Distributed Learning, Volume 22(2), pp. 185–204
Y?ld?z, G., Y?ld?r?m, A., Akça, B.A., Kök, A., Özer, A., Karata?, S.,
2020. Research Trends in Mobile Learning. The International Review of
Research in Open and Distributed Learning, Volume 21(3), pp. 175–196
Zawacki-Richter O., Naidu S., 2016. Mapping research trends from 35
years of publications in Distance Education. Distance Education, Volume
37, pp. 245–269
Zawacki-Richter, O., 2009. Research
Areas in Distance Education: A Delphi Study. International Review of Research
in Open and Distance Learning, Volume 10(3), https://doi.org/10.19173/irrodl.v10i3.674
Zawacki-Richter, O., Bäcker, O., Vogt, S.,
2009. Review of Distance Education Research (2000 to 2008): Analysis of
Research Areas, Methods, and Authorship Patterns. International Review of
Research in Open and Distributed Learning (IRRODL), Volume 10(6), pp. 21–50
Zawacki-Richter, O., Latchem, C., 2018. Exploring Four Decades of Research in Computers &
Education. Computers & Education, Volume 122, pp. 136–152