Key Factors Influencing Teachers’ Motivation to Transfer Technology-Enabled Educational Innovation
Open accessAbstract
In response to the digital transformation in education, teachers are expected to develop new competencies. Although teachers gained valuable experience in digital technology use during the COVID-19 pandemic, research and practice show that primary school teachers need to be supported and trained for the new normal of innovative, advanced use and adoption of digital technologies in educational practice. This study aims to identify the key factors that influence teachers' motivation to transfer technology-enabled educational innovation in primary education. The Learning Transfer System Inventory (LTSI) factors and the adoption factors of technology-enabled educational innovation have been conceptually mapped. The LTSI model has been empirically validated with data collected from 12.7% of Lithuanian primary school teachers. The structural equation modeling technique was utilized to analyze causal relationships of factors influencing teachers' motivation to transfer technology-enabled educational innovation. The qualitative research method was used to provide a deeper understanding of key factors that influence motivation to transfer. The conducted analysis shows that motivation to transfer is significantly influenced by all five domains of factors: perceived value, personal characteristics, social practices, organizational and technology-enabled innovation factors. Motivation to transfer innovation varies according to teachers' perceived digital technology integration skills, which underpin the importance of applying different roles and strategies based on the teachers' skills. This study provides implications for designing effective professional development for in-service teachers and creating a suitable environment in schools for the adoption of innovation in post-COVID-19 education.
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Studies show that teachers who are unfamiliar with AI often view it as a threat rather than a tool to enhance learning.
“Studies show that teachers who are unfamiliar with AI often view it as a threat rather than a tool to enhance learning [62,63].”
From Systematic review of artificial intelligence in education: trends, benefits, and challenges (2025) · cites this paper as [62]
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,555 · see citing works
Designing and Conducting Mixed Methods Research
นิลพันธุ์, ม. (2010) · Silpakorn Educational Research Journal · Cited by 9,350 · see citing works
Hanrahan, G. (2008) · CRC Press eBooks · doi:10.1201/9781420067972-10 · Cited by 8,196 · see citing works
A scaled difference chi-square test statistic for moment structure analysis
Satorra, A., & Bentler, P. M. (2001) · Psychometrika · doi:10.1007/bf02296192 · Cited by 5,282 · see citing works
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition
Byrne, B. M. (2016) · doi:10.4324/9781315757421 · Cited by 4,653 · see citing works
TRANSFER OF TRAINING: A REVIEW AND DIRECTIONS FOR FUTURE RESEARCH
Baldwin, T. T., & Ford, J. K. (1988) · Personnel Psychology · doi:10.1111/j.1744-6570.1988.tb00632.x · Cited by 3,449 · see citing works
Teacher Technology Change: How Knowledge, Confidence, Beliefs, and Culture Intersect
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010) · Journal of Research on Technology in Education · doi:10.1080/15391523.2010.10782551 · Cited by 2,556 · see citing works
DeCuir-Gunby, J. T., Marshall, P. L., & McCulloch, A. W. (2011) · Field Methods · doi:10.1177/1525822x10388468 · Cited by 1,456 · see citing works
Training Transfer: An Integrative Literature Review
Burke, L., & Hutchins, H. M. (2007) · Human Resource Development Review · doi:10.1177/1534484307303035 · Cited by 1,396 · see citing works
Trainees' Attributes and Attitudes: Neglected Influences on Training Effectiveness
Noe, R. A. (1986) · Academy of Management Review · doi:10.5465/amr.1986.4283922 · Cited by 1,215 · see citing works
Change in schools : facilitating the process
Hall, G. E., & Hord, S. M. (1987) · Cited by 1,088 · see citing works
(2010) · doi:10.1787/19939019 · Cited by 885 · see citing works
Development of a generalized learning transfer system inventory
Holton, E. F., Bates, R. A., & Ruona, W. E. A. (2000) · Human Resource Development Quarterly · doi:10.1002/1532-1096(200024)11:4 · Cited by 881 · see citing works
Profiling teachers' readiness for online teaching and learning in higher education: Who's ready?
Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106675 · Cited by 647 · see citing works
Educational Technology Adoption: A systematic review
Granić, A. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10951-7 · Cited by 455 · see citing works
Teacher Digital Literacy: The Indisputable Challenge after COVID-19
Sánchez-Cruzado, C., Campión, R. S., & Compaña, M. T. S. (2021) · Sustainability · doi:10.3390/su13041858 · Cited by 343 · see citing works
Teachers' motivation to participate in training and to implement innovations
Gorozidis, G. S., & Papaioannou, A. G. (2013) · Teaching and Teacher Education · doi:10.1016/j.tate.2013.12.001 · Cited by 325 · see citing works
Korkmaz, G., & Toraman, Ç. (2020) · International Journal of Technology in Education and Science · doi:10.46328/ijtes.v4i4.110 · Cited by 303 · see citing works
Variability of teachers’ technology integration in the classroom: A matter of utility!
Backfisch, I., Lachner, A., Stürmer, K., & Scheiter, K. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104159 · Cited by 270 · see citing works
Barriers to adopting technology for teaching and learning in Oman
Al-Senaidi, S., Lin, L., & Poirot, J. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.03.015 · Cited by 259 · see citing works
Integrative Literature Review: Motivation to Transfer Training: An Integrative Literature Review
Gegenfurtner, A., Veermans, K., Festner, D., & Gruber, H. G. (2009) · Human Resource Development Review · doi:10.1177/1534484309335970 · Cited by 255 · see citing works
Vongkulluksn, V. W., Xie, K., & Bowman, M. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.11.009 · Cited by 250 · see citing works
Ready, set, go! Profiling teachers’ readiness for online teaching in secondary education
Howard, S. K., Tondeur, J., Siddiq, F., & Scherer, R. (2020) · Technology Pedagogy and Education · doi:10.1080/1475939x.2020.1839543 · Cited by 229 · see citing works
The process of technological innovation
Cockcroft, J. (1965) · Proceedings of the Indian Division of the Institution of Electronic and Radio Engineers/Proceedings · doi:10.1049/pidiere.1965.0010 · Cited by 215 · see citing works
Moreira-Fontán, E., García-Señorán, M., Conde-Rodríguez, Á., & González, A. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.02.007 · Cited by 195 · see citing works
Petko, D., Prasse, D., & Cantieni, A. (2018) · Computers in the Schools · doi:10.1080/07380569.2018.1428007 · Cited by 193 · see citing works
Adaptive e-learning systems through learning styles: A review of the literature
Katsaris, I., & Vidakis, N. (2021) · Advances in Mobile Learning Educational Research · doi:10.25082/amler.2021.02.007 · Cited by 176 · see citing works
Online interaction impacts on learning: Teaching the teachers to teach online
Wilson, G., & Stacey, E. (2004) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1366 · Cited by 162 · see citing works
Barriers to technology integration: A time-series survey study
Francom, G. M. (2019) · Journal of Research on Technology in Education · doi:10.1080/15391523.2019.1679055 · Cited by 148 · see citing works
Educational Research and Innovation
OECD, & Centre for Educational Research and Innovation (2009) · Educational research and innovation · doi:10.1787/20769679 · Cited by 129 · see citing works
Challenges and Opportunities of Mathematics in Digital Times: Preschool Teachers’ Views
Lavidas, K., Apostolou, Z. T., & Papadakis, S. (2022) · Education Sciences · doi:10.3390/educsci12070459 · Cited by 124 · see citing works
Massenberg, A., Schulte, E., & Kauffeld, S. (2017) · Human Resource Development Quarterly · doi:10.1002/hrdq.21256 · Cited by 115 · see citing works
Torrey Trust, & Whalen, J. (2021) · Educational Media International · doi:10.1080/09523987.2021.1930479 · Cited by 111 · see citing works
A revised learning transfer system inventory: factorial replication and validation
Bates, R. A., Holton, E. F., & Hatala, J. P. (2012) · Human Resource Development International · doi:10.1080/13678868.2012.726872 · Cited by 106 · see citing works
Karakose, T., Yirci, R., & Papadakis, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19041951 · Cited by 93 · see citing works
González, C., Ponce, D., & Fernández, V. (2023) · Educational Technology Research and Development · doi:10.1007/s11423-023-10200-9 · Cited by 87 · see citing works
Fidan, T., & Öztürk, İ. (2015) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2015.06.370 · Cited by 75 · see citing works
The role of supervisor and peer support in training transfer in institutions of higher education
Yaghi, A., & Bates, R. A. (2020) · International Journal of Training and Development · doi:10.1111/ijtd.12173 · Cited by 73 · see citing works
Hutchins, H. M., Nimon, K. F., Bates, R. A., & Holton, E. (2013) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12035 · Cited by 67 · see citing works
Joo, Y. J., Lim, K. Y., & Park, S. Y. (2010) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2010.01116.x · Cited by 66 · see citing works
Moorhouse, B. L., & Wong, K. M. (2021) · Asia Pacific Journal of Education · doi:10.1080/02188791.2021.1988511 · Cited by 61 · see citing works
COVID-19 Accelerating Academic Teachers’ Digital Competence in Distance Teaching
Myyry, L., Kallunki, V., Katajavuori, N., Repo, S., Tuononen, T., Anttila, H., Kinnunen, P., Haarala-Muhonen, A., & Pyörälä, E. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.770094 · Cited by 60 · see citing works
Predicting workplace transfer of learning
Nafukho, F. M., Alfred, M. V., Chakraborty, M., Johnson, M. L., & Cherrstrom, C. A. (2017) · European journal of training and development · doi:10.1108/ejtd-10-2016-0079 · Cited by 55 · see citing works
Diz-Otero, M., Portela-Pino, I., Domínguez-Lloria, S., et al. (2022) · Education + Training · doi:10.1108/et-01-2022-0001 · Cited by 55 · see citing works
Jevsikova, T., Stupurienė, G., Stumbrienė, D., Juškevičienė, A., & Dagienė, V. (2021) · Informatica · doi:10.15388/21-infor459 · Cited by 48 · see citing works
Self-citationDreer, B., Dietrich, J., & Kracke, B. (2017) · Teacher Development · doi:10.1080/13664530.2016.1224774 · Cited by 43 · see citing works
Ley, T., Maier, R. K., Thalmann, S., Waizenegger, L., Pata, K., & Ruiz‐Calleja, A. (2019) · Vocations and Learning · doi:10.1007/s12186-019-09231-2 · Cited by 43 · see citing works
Self-Assessed Digital Competences of Romanian Teachers During the COVID-19 Pandemic
Hatos, A., Cosma, M.-L., & Clipa, O. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.810359 · Cited by 43 · see citing works
Teaching computational thinking in primary schools: Worldwide trends and teachers’ attitudes
Dagienė, V., Jevsikova, T., Stupurienė, G., et al. (2021) · Computer Science and Information Systems · doi:10.2298/csis201215033d · Cited by 42 · see citing works
Self-citationTowards a Mapping Framework of ICT-enabled Innovation for LearningPreprint
Panagiotis, K., Stefania, B., & Punie, Y. (2012) · RePEc: Research Papers in Economics · doi:10.2791/89492 · Cited by 37 · see citing works
Organizational culture for training transfer: the mediating role of motivation
Gautam, D., & Basnet, D. (2020) · International journal of organizational analysis · doi:10.1108/ijoa-04-2020-2147 · Cited by 35 · see citing works
Designing research to inform sustainability and scalability of digital technology innovations
Howard, S. K., Schrum, L., Voogt, J. M., et al. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-020-09913-y · Cited by 35 · see citing works
Identifying predictors of digital competence of educators and their impact on online guidance
Guillén‐Gámez, F. D., Linde-Valenzuela, T., Ramos, M., & Mayorga-Fernández, M. J. (2022) · Research and Practice in Technology Enhanced Learning · doi:10.1186/s41039-022-00197-9 · Cited by 33 · see citing works
Nickerson, A. B., Cook, E. E., Cruz, M., & Parks, T. W. (2019) · School Psychology Review · doi:10.17105/spr-2017-0140.v48-3 · Cited by 25 · see citing works
Callan, V. J., & Johnston, M. A. (2020) · Journal of Vocational Education and Training · doi:10.1080/13636820.2020.1821754 · Cited by 20 · see citing works
Celestin, B. N., & Shao, Y.-F. (2018) · International Journal of Training and Development · doi:10.1111/ijtd.12137 · Cited by 19 · see citing works
Leoste, J., Heidmets, M., Ley, T., & Stepanova, J. (2021) · Interaction design & architecture(s)/ID&A Interaction design & architecture(s) · doi:10.55612/s-5002-047-007 · Cited by 18 · see citing works
Diffusion of innovations: Theoretical perspectives and empirical evidence
Das, B. (2020) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2020.1814517 · Cited by 17 · see citing works
Understanding the process of teachers’ technology adoption with a dynamic analytical model
Zheng, L., Gibson, D., & Gu, X. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1610457 · Cited by 14 · see citing works
Inclusive Education: Mobile App for Students with Hearing Impairment
Boza-Chua, A., & Andrade–Arenas, L. (2022) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v16i18.33857 · Cited by 6 · see citing works
Innovative Teaching and Teaching Improvement
Lunde, J. P. (1996) · To improve the academy · doi:10.3998/tia.17063888.0015.012 · Cited by 5 · see citing works
Dale, V. H. M., McEwan, M., & Bohan, J. (2021) · Journal of Perspectives in Applied Academic Practice · doi:10.14297/jpaap.v9i2.483 · Cited by 4 · see citing works
Policy Rationales and Integration Rationales, Implications for Subject Area Teaching
Howard, S. K. (2019) · Springer eBooks · doi:10.1007/978-3-319-60013-0_91-1 · Cited by 3 · see citing works
Beyond the Pandemic Reflections on Teacher Competencies
Imara, K., Altınay, F., & Altınay, Z. (2021) · International Conference on ICT & Accessibility (ICTA) · doi:10.1109/icta54582.2021.9809422 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 6
- Chang J Chiang T The impact of learner characteristics on transfer of training Journal of Information Technology and Application in Education 2013 2 1 16 22
- Howard S Tondeur J Hutchison N Scherer R Siddiq F A t(r)opical journey: Using text mining to explore teachers’ experiences in the great online transition Society for Information Technology & Teacher Education International Conference 2022 2022 930 935
- IEEE Standards Association (2020). IEEE standard for digital intelligence (DQ) – Framework for digital literacy, skills, and readiness, IEEE 3527.1–2020.
- Kirkland K Sutch D Overcoming the barriers to educational innovation: A literature review 2009 Futurelab
- Koehler, M. & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70. Waynesville, NC USA: Society for information technology & teacher education. Retrieved May 16, 2023, from https://www.learntechlib.org/primary/p/29544/
- Punie, Y., & Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu, EUR 28775 EN, Publications Office of the European Union, Luxembourg, JRC107466. 10.2760/159770 · DOI
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Sorted by citations
Systematic review of artificial intelligence in education: trends, benefits, and challenges
Garzón, J., Patiño, E., & Marulanda, C. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti9080084 · Cited by 265 · see citing works
“Studies show that teachers who are unfamiliar with AI often view it as a threat rather than a tool to enhance learning [62,63].”
- Authors
- Stumbrienė, D., Jevsikova, T., & Kontvainė, V.
- Affiliations
- Vilnius University (LT)
- Lithuanian Centre for Social Sciences (LT)
- Corresponding author
- Stumbrienė, Dovilė
- Venue
- Education and Information Technologies
- Published
- 2023-05-20
- Volume
- 29
- Issue
- 2
- Pages
- 1697-1731
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC10199451
- OpenAlex
- W4377140514
- Cited by
- 78
- References
- 67
- Citations by year
- 2026: 28 · 2025: 29 · 2024: 19 · 2023: 2
- FWCI
- 57.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Education and Communication Studies
- Social Sciences › Education › Education and Technology Integration
- Social Sciences › Education › Teacher Education and Leadership Studies
- Keywords
- teacher motivation, innovation transfer, Learning Transfer System Inventory, primary school teachers, perceived value, social practices, organizational factors, technology adoption, in-service teacher professional development, post-COVID-19 education, digitalization of education
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