Research Article

From survival to strategic use: Technology, AI, and collaboration five years after emergency remote teaching

Carol Ann Paul 1 * , Lisa Reason 2
More Detail
1 Wayne Regional Educational Service Agency, Wayne, MI, USA2 Capella University, Minneapolis, MN, USA* Corresponding Author
International Journal of Professional Development, Learners and Learning, 8(1), 2026, e2610, https://doi.org/10.30935/ijpdll/18179
Submitted: 20 January 2026, Published: 23 March 2026
OPEN ACCESS   5 Views   4 Downloads
Download Full Text (PDF)

ABSTRACT

This research is a follow-up to a study conducted in 2022, where the researchers examined the experiences of a purposive sample of 25 elementary teachers who had never taught online and were forced into emergency remote teaching (ERT) during the 2020 pandemic. Findings from the original study conducted in 2022 indicated that teacher collaboration and technology use and knowledge increased during their time in ERT. Three years after the initial study, 19 of the original 25 teachers participated in a follow-up email survey of nine open-ended questions asking them to describe their technology practices, collaborative structures, AI integration, and support needs three years into post-pandemic teaching. Data were analyzed using open and axial coding and thematic analysis. Teachers indicated that technology use and skills have improved, and collaboration with peers has increased since ERT. Teachers also indicated that technology tools including AI improve their efficiency and ability to support students. They also indicated that they have become more selective about the tools they use, set boundaries, and use educational technology as a companion to instruction instead of a primary teaching method. Based on the findings, school leaders should provide scaffolded technology use training for teachers, time to learn and experiment with technology, and support both face-to-face and virtual opportunities for teachers to collaborate.

CITATION (APA)

Paul, C. A., & Reason, L. (2026). From survival to strategic use: Technology, AI, and collaboration five years after emergency remote teaching. International Journal of Professional Development, Learners and Learning, 8(1), e2610. https://doi.org/10.30935/ijpdll/18179

REFERENCES

  1. Adipat, S. (2025). Challenging conventions: ChatGPT’s controversial impacts on educational and English language teaching practices. Education Process: International Journal, 14(1), Article e2025066. https://doi.org/10.22521/edupij.2025.14.66
  2. Ajjawi, R., Fischer, J., Tai, J., Bearman, M., & Jorre de St Jorre, T. (2023). ‘Attending lectures in your pajamas’: Student agency in constrained circumstances. Higher Education, 86, 1363-1376. https://doi.org/10.1007/s10734-022-00976-9
  3. An, Y., Kaplan-Rakowski, R., Yang, J., Conan, J., Kinard, W., & Daughrity, L. (2021). Examining K-12 teachers’ feelings, experiences, and perspectives regarding online teaching during the early stage of the COVID-19 pandemic. Educational Technology Research and Development, 69, 2589-2613. https://doi.org/10.1007/s11423-021-10008-5
  4. Arantes, J. (2022). The SAMR model as a framework for scaffolding online chat: A theoretical discussion of the SAMR model as a research method during these ‘interesting’ times. Qualitative Research Journal, 22(3), 294-306. https://doi.org/10.1108/QRJ-08-2021-0088
  5. Bakhadirov, M., Alasgarova, R., & Rzayev, J. (2024). Factors influencing teachers’ use of artificial intelligence for instructional purposes. IAFOR Journal of Education, 12(2), 9-32. https://doi.org/10.22492/ije.12.2.01
  6. Beleulmi, S., & Boudibi, N. (2026). Fostering teacher collaboration through online communities of practice in teacher education. The Journal of Studies in Language, Culture and Society, 8(4), 123-140. https://asjp.cerist.dz/en/article/286504
  7. Boonmoh, A., & Kulavichian, I. (2023). Exploring Thai EFL pre-service teachers’ technology integration based on SAMR model. Contemporary Educational Technology, 15(4), Article ep457. https://doi.org/10.30935/cedtech/13567
  8. Cabbeke, B., Adams, B., Rotsaert, T., & Schellens, T. (2025). Collaborative design through authentic design challenges: Preservice teachers’ perceptions of digital competence development and SQD-aligned supports. Education Sciences, 15(10), Article 1331. https://doi.org/10.3390/educsci15101331
  9. Braun, V., Clarke, V., Hayfield, N., & Terry, G. (2018). Thematic analysis. In P. Liamputtong, (Eds.) Handbook of research methods in health social sciences. Springer, Singapore. https://doi.org/10.1007/978-981-10-2779-6_103-1
  10. Burner, T., Lindvig, Y., & Wærness, J. I. (2025). ‘We should not be like a dinosaur’—Using AI technologies to provide formative feedback to students. Education Sciences, 15(1), Article 58. https://doi.org/10.3390/educsci15010058
  11. Crompton, H., & Burke, D. (2020). Mobile learning and pedagogical opportunities: A configurative systematic review of PreK-12 research using the SAMR framework. Computers and Education, 156, Article 103945. https://doi.org/10.1016/j.compedu.2020.103945
  12. Daneshmand, A., Harris, M., & Viviani, D. A. (2022). Roadmap to emergency remote teaching. New Directions for Community Colleges, 2022(199), 49-62. https://doi.org/10.1002/cc.20523
  13. Fassbender, W. J. (2024). ‘I can almost recognize its voice’: AI and its impact on ethical teacher-centaur labor. English Teaching: Practice and Critique, 23(1), 104-117. https://doi.org/10.1108/ETPC-08-2023-0101
  14. Friedrich, J.C., Perrotta, K.A. (2022). Head above water: A study of K–12 teachers’ perspectives on emergency remote learning during the COVID-19 Pandemic. In C. Haeussler Bohan, J. L. Pecore, & F. S. Allair (Eds.), Curriculum and teaching dialogue (pp. 191-312). https://doi.org/10.1108/979-8-88730-050-420251017
  15. Gârdan, I. P., Manu, M. B., Gârdan, D. A., Negoiță, L. D. L., Paștiu, C. A., Ghiță, E., & Zaharia, A. (2025). Adopting AI in education: Optimizing human resource management considering teacher perceptions. Frontiers in Education, 10, Article 1488147. https://doi.org/10.3389/feduc.2025.1488147
  16. Gavin, M., & Stacey, M. (2023). Enacting autonomy reform in schools: The re-shaping of roles and relationships under local schools, local decisions. Journal of Educational Change, 24(3), 501-523. https://doi.org/10.1007/s10833-022-09455-5
  17. Haroud, S., & Saqri, N. (2025). Generative AI in higher education: Teachers’ and students’ perspectives on support, replacement, and digital literacy. Education Sciences, 15(4), Article 396. https://doi.org/10.3390/educsci15040396
  18. Herrera-Pavo, M., & Ornellas, A. (2024). From emergency remote teaching to an online educational ecosystem: An Ecuadorian University case study: Electronic Journal of E-Learning, 22(9), 15-27. https://doi.org/10.34190/ejel.22.9.3461
  19. Hsieh, C., Gunawan, I., Li, H., & Liang, J. (2024). Teachers’ voice behavior—Principal leadership-driven or teacher self-driven? evidence from Taiwan. Psychology in the Schools, 61(5), 2077-2099. https://doi.org/10.1002/pits.23152
  20. Ibragimov, G. I., Kolomoets, E. N., Filippova, A. A., Khairullina, E. R., Garnova, N. Y., & Torkunova, J. V. (2025). An analysis of science teachers’ use of artificial intelligence in education from a technological pedagogical content knowledge perspective. Online Journal of Communication and Media Technologies, 15(3), Article e202523. https://doi.org/10.30935/ojcmt/16594
  21. Juárez-Díaz, C., & Perales, M. (2021). Language teachers’ emergency remote teaching experiences during the COVID-19 confinement. Profile: Issues in Teachers' Professional Development, 23(2), 121-135. https://doi.org/10.15446/profile.v23n2.90195
  22. Kaplan-Rakowski, R., Grotewold, K., Hartwick, P., & Papin, K. (2023). Generative AI and teachers’ perspectives on its implementation in education. Journal of Interactive Learning Research, 34(2), 313-338. https://doi.org/10.70725/815246mfssgp
  23. Keldgord, F., & Ching, Y.-H. (2022). Teachers’ experiences with and perceptions of virtual manipulatives following the COVID-19 pandemic. TechTrends, 66(6), 957-967. https://doi.org/10.1007/s11528-022-00796-9
  24. Khosla, A., Sharma, P., Sethi, M., & Yadav, D. (2025). Teachers’ well-being and lifestyle at G. D. Goenka Public School, Dwarka. Indian Journal of Health and Wellbeing, 16(21), 249-255.
  25. Kim, J. (2024a). Leading teachers’ perspective on teacher-AI collaboration in education. Education and Information Technologies, 29(7), 8693-8724. https://doi.org/10.1007/s10639-023-12109-5
  26. Kim, J. (2024b). Types of teacher-AI collaboration in K-12 classroom instruction: Chinese teachers’ perspective. Education and Information Technologies, 29(13), 17433-17465. https://doi.org/10.1007/s10639-024-12523-3
  27. Kim, J. (2025). Perceptions and preparedness of K-12 educators in adopting generative AI. Research in Learning Technology, 33, 1-17. https://doi.org/10.25304/rlt.v33.3448
  28. Lampropoulos, G., Ferdig, R., & Kaplan-Rakowski, R. (2025). A social media data analysis of general and educational use of ChatGPT: Understanding emotional educators through Twitter data. Educational Technology & Society, 28(3), 51-65. https://doi.org/10.30191/ETS.202507_28(3).SP05
  29. Lee, J., & Lee, J. (2025). Generative AI chatbot for teachers’ data-informed decision-making: Effects and insights. Educational Technology & Society, 28(3), 298-317. https://doi.org/10.30191/ETS.202507_28(3).TP06
  30. Leech, N. L., Gullett, S., Cummings, M. H., & Haug, C. A. (2022). The challenges of remote K-12 education during the COVID-19 pandemic: Differences by grade level. Online Learning, 26(1), 245-267. https://doi.org/10.24059/olj.v26i1.2609
  31. Li, Z., Hassan, N. C., & Jalil, H. A. (2023). The effectiveness of face-to-face versus online delivery of continuing professional development for science teachers: A systematic review. Education Sciences, 13(12), Article 1251. https://doi.org/10.3390/educsci13121251
  32. Li, X., Li, B., Li, J., & Cho, S. (2025). Technology review of magic school AI: An intelligent way for education inclusivity and teacher workload reduction. Education Sciences, 15(8), Article 963. https://doi.org/10.3390/educsci15080963
  33. Mezirow, J. (1978). Perspective transformation. Adult Education Quarterly, 28(2), 100-110. https://doi.org/10.1177/074171367802800202
  34. Mezirow, J. (1991). Transformative dimensions of adult learning. Jossey-Bass.
  35. Mezirow, J. (1997). Transformative learning: Theory to practice. New Directions for Adult and Continuing Education, 1997(74), 5-12. https://doi.org/10.1002/ace.7401
  36. Muylaert, J., Decramer, A., Van der Heijden, Beatrice I. J. M., & Audenaert, M. (2025). The effect of red tape on employability competences of teachers. Public Personnel Management, 54(2), 209-242. https://doi.org/10.1177/00910260241294152
  37. Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137-161. https://doi.org/10.1007/s11423-023-10203-6
  38. Ní Chinseallaigh, E., Shipsey, M., Minihan, E., Gavin, B., & McNicholas, F. (2025). Burnout persists in teachers in Ireland post-COVID-19: A qualitative follow up comparative study. International Journal of Environmental Research and Public Health, 22(4), Article 641. https://doi.org/10.3390/ijerph22040641
  39. Nordgren, K., Kristiansson, M., Liljekvist, Y., & Bergh, D. (2021). Collegial collaboration when planning and preparing lessons: A large-scale study exploring the conditions andinfrastructure for teachers’ professional development. Teaching and Teacher Education, 108, Article 103513. https://doi.org/10.1016/j.tate.2021.103513
  40. Paul, C., & Reason, L. (2024). Safeguarding learning before, during, and after emergency remote learning. Michigan Reading Journal, 56(3), 37-47.
  41. Procentese, F., Gatti, F., & Ceglie, E. (2023). Protective and risk social dimensions of emergency remote teaching during COVID‐19 pandemic: A multiple mediation study. Journal of Community Psychology, 51(1), 67-83. https://doi.org/10.1002/jcop.22879
  42. Runge, I., Lazarides, R., Rubach, C., Richter, D., & Scheiter, K. (2023). Teacher-reported instructional quality in the context of technology-enhanced teaching: The role of teachers’ digital competence-related beliefs in empowering learners. Computers and Education, 198, Article 104761. https://doi.org/10.1016/j.compedu.2023.104761
  43. Santagata, R., Villavicencio, A., Wegemer, C. M., Cawelti, L., & Gatlin-Nash, B. (2024). ‘I have been pushed outside of my comfort zone and have grown as a result’: Teacher professional learning and innovation during the pandemic. Journal of Educational Change, 25(4), 699-726. https://doi.org/10.1007/s10833-023-09491-9
  44. Tang, X., & Jin, M. (2024). Deep learning PCA correlation analysis of teacher’s educational technology quality and teacher’s professional competence. Journal of Electrical Systems, 20(5s), 212-226. https://doi.org/10.52783/jes.1941
  45. Ting, A., Manaig, K., & Yazon, A. (2024). Online teaching during COVID-19: A tale of two cities. International Journal of Web-Based Learning and Teaching Technologies, 19(1), 1-15. https://doi.org/10.4018/IJWLTT.336545
  46. Tołwińska, B. (2021). The role of principals in learning schools to support teachers’ use of digital technologies. Technology, Knowledge and Learning, 26(4), 917-930. https://doi.org/10.1007/s10758-021-09496-4
  47. Troubouni, E., Antonopoulou, H., Kourtidou, S., Gkintoni, E., & Halkiopoulos, C. (2026). Cognitive-emotional teacher burnout syndrome: A comprehensive behavioral data analysis of risk factors and resilience patterns during educational crisis. Psychiatry International, 7(1), Article 26. https://doi.org/10.3390/psychiatryint7010026
  48. Trust, T., & Whalen, J. (2021a). Emergency remote teaching with technology during the COVID-19 pandemic: Using the whole teacher lens to examine educator’s experiences and insights. Educational Media International, 58(2), 145-160. https://doi.org/10.1080/09523987.2021.1930479
  49. Trust, T., & Whalen, J. (2021b). K-12 teachers’ experiences and challenges with using technology for emergency remote teaching during the COVID-19 pandemic. Italian Journal of Educational Technology, 29(2), 10-25. https://doi.org/10.17471/2499-4324/1192
  50. Uwosomah, E. E., & Dooly, M. (2025). It is not the huge enemy: Preservice teachers’ evolving perspectives on AI. Education Sciences, 15(2), Article 152. https://doi.org/10.3390/educsci15020152
  51. Wohlfart, O., Trumler, T., & Wagner, I. (2021). The unique effects of covid-19 – A qualitative study of the factors that influence teachers’ acceptance and usage of digital tools. Education and Information Technologies, 26(6), 7359-7379. https://doi.org/10.1007/s10639-021-10574-4
  52. Yin, R. K. (2016). Qualitative research from start to finish (2nd ed.). The Guilford Press.
  53. Zagouras, C., Egarchou, D., Skiniotis, P., & Fountana, M. (2022). Face to face or blended learning? A case study: Teacher training in the pedagogical use of ICT. Education and Information Technologies, 27(9), 12939-12967. https://doi.org/10.1007/s10639-022-11144-y