Digital Ecosystem Models in Teacher Professional Development: A Narrative Review of CPD Frameworks (2015–2024)
DOI:
https://doi.org/10.51276/edu.v7i3.1608Keywords:
AI-Enhanced CPD , Digital Ecosystem , Digital Professional Development , Hybrid CPD , Teacher Professional LearningAbstract
This study analyzes digital ecosystem models in teacher professional development (CPD) through a narrative literature review of 30 international journal articles published between 2015 and 2024. Using purposive selection and thematic synthesis, the study identifies four interconnected models: digital collaborative professional learning, data-driven and personalized CPD, hybrid and blended CPD ecosystems, and AI-enhanced microlearning CPD. Rather than treating these models as separate approaches, this study reconceptualizes digital CPD as an integrated ecosystem in which collaboration, personalization, hybridity, and AI support operate as interdependent components. The findings show that digital ecosystems expand opportunities for teacher collaboration, adaptive feedback, flexible learning, and personalized support across diverse educational contexts. However, effectiveness depends not only on technological adoption, but also on the alignment between teachers’ digital literacy, infrastructure readiness, program design quality, and school leadership. By moving beyond descriptive categorization, this study offers an integrative and explanatory framework for understanding sustainable teacher learning across contemporary educational settings and the digital era.
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References
Braun, V., & Clarke, V. (2006). Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Carpenter, J. P., & Green, T. D. (2017). Mobile Instant Messaging for Professional Learning: Educators' Perspectives on and Uses of Voxer. Teaching and Teacher Education, 68, 53–67. https://doi.org/10.1016/j.tate.2017.08.008
Carpenter, J. P., & Krutka, D. G. (2014). How and Why Educators Use Twitter: A Survey of the Field. Journal of Research on Technology in Education, 46(4), 414–434. https://doi.org/10.1080/15391523.2014.925701
Carpenter, J. P., Trust, T., Kimmons, R., & Krutka, D. G. (2021). Sharing and Self-Promoting: An Analysis of Educator Tweeting at the Onset of the COVID-19 Pandemic. Computers and Education Open, 2, 100038. https://doi.org/10.1016/j.caeo.2021.100038
Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017). Effective Teacher Professional Development. Learning Policy Institute. https://learningpolicyinstitute.org/product/teacher-prof-dev
Desimone, L. M. (2009). Improving Impact Studies of Teachers' Professional Development: Toward Better Conceptualizations and Measures. Educational Researcher, 38(3), 181–199. https://doi.org/10.3102/0013189X08331140
Dexter, S., & Richardson, J. W. (2020). What Does Technology Integration Research Tell Us about the Leadership of Technology? Journal of Research on Technology in Education, 52(1), 17–36. https://doi.org/10.1080/15391523.2019.1668316
Gudmundsdottir, G. B., & Hathaway, D. M. (2020). "We Always Make It Work": Teachers' Agency in the Time of Crisis. Journal of Technology and Teacher Education, 28(2), 239–250.
Guskey, T. R. (2020). Get Set, Go! Creating Successful Grading and Reporting Systems. Solution Tree Press.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign. https://curriculumredesign.org/our-work/books/
Howard, S. K., Tondeur, J., Ma, J., & Yang, J. (2021). What to Teach? Strategies for Developing Digital Competency in Preservice Teacher Training. Computers & Education, 165, 104149. https://doi.org/10.1016/j.compedu.2021.104149
Kohnke, L., & Moorhouse, B. L. (2024). An Exploration of Microlearning as Continuous Professional Development for English Language Teachers. Open Learning: The Journal of Open, Distance and e-Learning, 1–17. https://doi.org/10.1080/02680513.2024.2362649
Kukulska-Hulme, A., Bossu, C., Charitonos, K., Coughlan, T., Ferguson, R., FitzGerald, E., Gaved, M., Guitert, M., Herodotou, C., Maina, M., Prieto-Blázquez, J., Rienties, B., Sangrà, A., Sargent, J., Scanlon, E., & Whitelock, D. (2022). Innovating Pedagogy 2022: Open University Innovation Report 10. The Open University. http://www.open.ac.uk/blogs/innovating/
Lantz-Andersson, A., Lundin, M., & Selwyn, N. (2018). Twenty Years of Online Teacher Communities: A Systematic Review of Formally-Organized and Informally-Developed Professional Learning Groups. Teaching and Teacher Education, 75, 302–315. https://doi.org/10.1016/j.tate.2018.07.008
Macià, M., & García, I. (2016). Informal Online Communities and Networks as a Source of Teacher Professional Development: A Review. Teaching and Teacher Education, 55, 291–307. https://doi.org/10.1016/j.tate.2016.01.021
Mandinach, E. B., & Gummer, E. S. (2016). What Does It Mean for Teachers to Be Data Literate: Laying Out the Skills, Knowledge, and Dispositions. Teaching and Teacher Education, 60, 366–376. https://doi.org/10.1016/j.tate.2016.07.011
Manca, S., & Ranieri, M. (2017). Networked Scholarship and Motivations for Social Media Use in Scholarly Communication. International Review of Research in Open and Distributed Learning, 18(2), 123–138. https://doi.org/10.19173/irrodl.v18i2.2859
Opfer, V. D., & Pedder, D. (2011). Conceptualizing Teacher Professional Learning. Review of Education al Research, 81(3), 376–407. https://doi.org/10.3102/0034654311413609
Pangrazio, L., & Selwyn, N. (2020). 'Personal Data Literacies': A Critical Literacies Approach to Enhancing Understandings of Personal Digital Data. British Journal of Educational Technology, 51(1), 124–137. https://doi.org/10.1111/bjet.12823
Papamitsiou, Z., & Economides, A. A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Educational Technology & Society, 17(4), 49–64. https://www.jstor.org/stable/jeductechsoci.17.4.49
Philipsen, B., Tondeur, J., Pareja Roblin, N., Vanslambrouck, S., & Zhu, C. (2019). Improving Teacher Professional Development for Online and Blended Learning: A Systematic Meta-Aggregative Review. Educational Technology Research and Development, 67(5), 1145–1174. https://doi.org/10.1007/s11423-019-09645-8
Prestridge, S. (2019). Categorising Teachers' Use of Social Media for Their Professional Learning: A Self-Generating Professional Learning Paradigm. Computers & Education, 129, 143–158. https://doi.org/10.1016/j.compedu.2018.11.003
Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2021). Profiling Teachers' Readiness for Online Teaching and Learning in Higher Education: Who's Ready? Computers in Human Behavior, 118, 106675. https://doi.org/10.1016/j.chb.2021.106675
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The Technology Acceptance Model (TAM): A Meta-Analytic Structural Equation Modeling Approach to Explaining Teachers' Adoption of Digital Technology in Education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Scherer, R., & Teo, T. (2019). Unpacking Teachers' Intentions to Integrate Technology: A Meta-Analysis. Educational Research Review, 27, 90–109. https://doi.org/10.1016/j.edurev.2019.03.001
Schildkamp, K. (2019). Data-Based Decision-Making for School Improvement: Research Insights and Gaps. Educational Research, 61(3), 257–273. https://doi.org/10.1080/00131881.2019.1625716
Schleicher, A. (2018). World Class: How to Build a 21st-Century School System. OECD Publishing. https://doi.org/10.1787/9789264300002-en
Tammets, K., & Ley, T. (2023). Integrating AI Tools in Teacher Professional Learning: A Conceptual Model and Illustrative Case. Frontiers in Artificial Intelligence, 6, 1255089. https://doi.org/10.3389/frai.2023.1255089
Tondeur, J., van Braak, J., Siddiq, F., & Scherer, R. (2016). Time for a New Approach to Prepare Future Teachers for Educational Technology Use: Its Meaning and Measurement. Computers & Education, 94, 134–150. https://doi.org/10.1016/j.compedu.2015.11.009
Trust, T., Carpenter, J., & Krutka, D. G. (2018). Leading by Learning: Exploring the Professional Learning Networks of Instructional Leaders. Educational Media International, 55(2), 137–152. https://doi.org/10.1080/09523987.2018.1484391
Trust, T., Krutka, D. G., & Carpenter, J. P. (2016). "Together We Are Better": Professional Learning Networks for Teachers. Computers & Education, 102, 15–34. https://doi.org/10.1016/j.compedu.2016.06.007
Van Leeuwen, A., Strauß, S., & Rummel, N. (2023). Participatory Design of Teacher Dashboards: Navigating the Tension between Teacher Input and Theories on Teacher Professional Vision. Frontiers in Artificial Intelligence, 6, Article 1039739. https://doi.org/10.3389/frai.2023.1039739
Voogt, J., & Pareja Roblin, N. (2012). A Comparative Analysis of International Frameworks for 21st Century Competences: Implications for National Curriculum Policies. Journal of Curriculum Studies, 44(3), 299–321. https://doi.org/10.1080/00220272.2012.668938
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Review of Research on Artificial Intelligence Applications in Higher Education — Where Are the Educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, Article 8812542. https://doi.org/10.1155/2021/8812542
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Copyright (c) 2026 Finda Vericha Ngenda, Aslamiah Aslamiah, Noorhapizah Noorhapizah, Novitawati Novitawati, Arief Aulia Rahman

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