Mapping the Methodological Developments in Dynamic Assessment Research: Insights from Studies in Applied Linguistics
DOI:
https://doi.org/10.5281/zenodo.17525138Özet
This systematic review aims to present an overview of dynamic assessment research in language education. With that purpose, the review followed the PRISMA framework, selected the articles carefully through inclusion and exclusion criteria, and coded the included studies following the PICO guidance. Accordingly, the Web of Science research database was employed to search for the related studies. Upon deciding the search terms, articles published from 2015 to 2025 and indexed in SSCI, SSCI-expanded, and AHCI were examined. After applying the inclusion and exclusion criteria, 20 articles were included for the review. These articles were then coded thematically, regarding the journal in which they were published, the publication year, the country where the scholars were based, research design, data collection and analysis methods, and participants (their educational level, language setting, and target language). The findings displayed that the included studies appeared in diverse journals. 2022 marked the year when dynamic assessment started to get much attention, but the highest number of articles was in 2025. Scholars were from different countries, yet the USA and Iran were the majority. Mixed-methods research design and experimental research design were mainly adopted. Within this framework, pre- and post-tests and interviews were the primary data collection tools. At the same time, statistical tests (e.g., ANOVA, ANCOVA, t-tests) and thematic coding were the primary data analysis methods. The participants displayed diversity in their educational levels; however, the language setting was mostly limited to foreign languages, with English being the predominant foreign language. The review also presents its implications and limitations.
Referanslar
Aljaafreh, A., & Lantolf, J. P. (1994). Negative feedback as regulation and second language learning in the zone of proximal development. The Modern Language Journal, 78(4), 465–483. https://doi.org/ 10.1111/j.1540-4781.1994.tb02064.x
Aryadoust, V., & Zhang, S. (2025). How to Conduct Bibliometric and Scientometric Research in Language Education? Reference Module in Social Sciences. https://doi.org/10.1016/B978-0-323-95504-1.00432-4
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57. https://doi.org/10.1016/j.asw.2023.100745
*Bashiri, S., & Ebadi, S. (2025). The effect of digital game-based group dynamic assessment on L2 pragmatic competence. Interactive Learning Environments, 33(4), 2939-2953. 10.1080/10494820.2024.2428355
*Behbahani, H. K., & Karimpour, S. (2025). Exploring the role of mobile-mediated dynamic assessment in L2 learners’ reading comprehension and reading fluency. Education and Information Technologies, 30, 6237-6260. https://doi.org/10.1007/s10639-024-12994-4
Charmaz, K. (2014). Constructing grounded theory (2nd ed.). SAGE.
Chong, S. W., & Plonsky, L. (2021). A Primer on Qualitative Research Synthesis in TESOL. TESOL Quarterly, 55(3), 1024–1034. https://doi.org/10.1002/tesq.3030
Davin, K. J., & Donato, R. (2013). Student collaboration and teacher‐directed classroom dynamic assessment: A complementary pairing. Foreign Language Annals, 46(1), 5–22. https://doi.org/10.1111/flan.12012
Davin, K. J., & Herazo, J. D. (2020). Reconceptualizing classroom dynamic assessment: Lessons from teacher practice. In M. E. Poehner & O. Inbar-Lourie (Eds.), Toward a reconceptualization of second language classroom assessment (pp. 197–217). Springer International Publishing. https://doi.org/10.1007/978-3-030-35081-9_10
Dixon, C., Oxley, E., Gellert, A. S., & Nash, H. (2023). Dynamic Assessment as a predictor for reading development: A systematic review. Reading and Writing, 36, 673-698. https://doi.org/10.1007/ s11145-022-10312-3
Dixon, C., Oxley, E., Nash, H., & Gellert, A. S. (2022). Does dynamic assessment offer an alternative approach to identifying reading disorders? A systematic review. Journal of Learning Disabilities, 56(6). https://doi.org/10.1177/002221942211175
Feuerstein, R., Feuerstein, R. S., & Falik, L. H. (2010). Beyond smarter: Mediated learning and the brain’s capacity for change. Teachers College Press.
Grapin, S., & Llosa, L. (2022). Dynamic assessment of English learners in the content areas: An exploratory study in fifth-grade science. TESOL Quarterly, 56(1), 201-229. 10.1002/tesq.3059
Infante, P., & Poehner, M. (2019). Realizing the ZPD in second language education: The complementary contributions of dynamic assessment and mediated development. Language and Sociocultural Theory, 6(1), 63–91. https://doi.org/10.1558/lst.38916
*Infante, P., & Poehner, M. E. (2021). Alex, the toolmaker: Tool-and-result activity in the L2 learning context. Linguistics and Education, 63, Article 100862. https://doi.org/10.1016/j.linged.2020.100862
*Jaganov, T., Blake, J., Villegas, J., & Carr, N. (2025). Large language model-driven dynamic assessment of grammatical accuracy in English language learner writing. IEEE Access, 13, 151538-151550. 10.1109/ACCESS.2025.3603191
*Jili, S., Zhuohan, H., & Shangchao, M. (2025). Exploring the use of chatbots in EFL argumentative writing: From the perspective of dynamic assessment. International Journal of Applied Linguistics, 1-12. https://doi.org/10.1111/ijal.12809
*Kao, Y., & Kuo, H. (2023). Diagnosing L2 English learners’ listening difficulties and learning needs through computerized dynamic assessment, Interactive Learning Environments, 31:4, 2219-2243, DOI: 10.1080/10494820.2021.1876738
*Kao, Y., & Wu, H. (2022). The dialectic integration of dynamic assessment: Assessing and instructing EFL beginning learners’ reading difficulties. Asia-Pacific Educational Research, 31(6), 749-766. https://doi.org/10.1007/s40299-021-00624-3
*Karimpour, S., & Behbahani, H. K. (2025). Contribution of interventionist dynamic assessment to the acquisition of modal verbs: The moderating role of field (in)dependence and working memory. European Journal of Education, 60, Article e12887. https://doi.org/10.1111/ejed.12887
*Lam, J. H. Y., Resendiz, M. D., Bedore, L. M., Gillam, R. B., & Pena, E. D. (2024). Validation of the mediated learning observation instrument among children with and without developmental language disorder in dynamic assessment. Journal of Speech, Language, and Hearing Research, 67, 2159-2171. https://doi.org/10.1044/2024_JSLHR-23-00127
Lantolf, J. P., & Poehner, M. E. (2004). Dynamic assessment of L2 development: Bringing the past into the future. Journal of Applied Linguistics, 1(1), 49-72. https://doi.org/10.1558/japl.1.1.49.55872.
Li, Q., & Li, D. (2015). A review of empirical studies in L2 dynamic assessment. Chinese Journal of Applied Linguistics, 38(1), 55-73. https://doi.org/10.1515/cjal-2015-0003
Lidz, C. S. & Gindis, B. (2003). Dynamic assessment of the evolving cognitive functions in children. In Kozulin, A., Gindis, B., Ageyev, V.S. & Miller, S.M. (Eds.), Vygotsky’s educational theory in cultural context (pp. 99-118). Cambridge University Press.
*Lu, Y., & Hu, C. (2019). Dynamic assessment of phonological awareness in young foreign language learners: Predictability and modifiability. Reading and Writing, 32, 891-908. https://doi.org/10.1007/s11145-018-9894-x
Özturan, T., & Shrestha, P. N. (2025). ChatGPT’s potential to enhance language learners’ proximal development through dialogic interaction. In C. A. Chapelle, G. H. Beckett, & B. E. Gray (Eds.), Researching generative AI in applied linguistics (pp. 11-39). Iowa State University Digital Press.
Özturan, T., & Uysal, H. H. (2022). Mediating multilingual immigrant learners’ L2 writing through interactive dynamic assessment. Kuramsal Eğitimbilim [Journal of Theoretical Educational Science], 15(2), 307–326. https://doi.org/10.30831/akukeg.1004155
Özturan, T., Uysal, H. H., & Shrestha, P. N. (2023). An investigation into EFL learners’ perspectives towards dynamic assessment. In S. W. Chong & H. Reinders (Eds.), Innovation in learning-oriented language assessment (pp. 63– 79). Springer International Publishing. https://doi.org/10.1007/978-3-031-18950-0_5
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … McKenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372. https://doi.org/10.1136/bmj.n160
Poehner, M. E. (2008). Dynamic assessment. Springer. https://doi.org/10.1007/978-0-387-75775-9
Poehner, M. E., & Lantolf, J. P. (2003). Dynamic assessment of L2 development: Bringing the past into the future. CALPER Working papers Series, No 1. The Pennsylvania State University.
*Rahmani, P., Ebadi, S., & Eslami, Z. R. (2025). The impact of mobile-mediated dynamic assessment on EFL learners’ pragmatic competence: The speech act of disagreement. Computer-Assisted Language Learning. 10.1080/09588221.2025.2472062
*Rassaei, E. (2023). Implementing mobile-mediated dynamic assessment for teaching request forms to EFL learners. Computer Assisted Language Learning, 36(3), 257-287. 10.1080/09588221.2021.1912105
*Regalla, M., & Peker, H. (2017). Prompting all students to learn: Examining dynamic assessment of special needs and typical students in a prekindergarten inclusive French program. Foreign Language Annals, 50(2), 323-338. 10.1111/flan.12261.
*Rezaee, A. A., Alavi, S. M., & Razzaghifard, P. (2019). The impact of mobile-based dynamic assessment on improving EFL oral accuracy. Education and Information Technologies, 24, 3091-3105. https://doi.org/10.1007/s10639-019-09915-1
*Saeedi, Z., & Soltani, M. (2025). Developing an AI chatbot for language pragmatics instruction: from algorithms to dynamic assessment in an EFL context. Computer-Assisted Language Learning. 10.1080/09588221.2025.2532014
Shen, R., & Chong, S. W. (2023). Learner engagement with written corrective feedback in ESL and EFL contexts: A qualitative research synthesis using a perception-based framework. Assessment & Evaluation in Higher Education, 48(3), 276–290. https://doi.org/10.1080/02602938.2022.2072468
Shrestha, P. N. (2020). Dynamic assessment of students’ academic writing: Vygotskian and systemic functional linguistic perspectives. Springer International Publishing. https://doi.org/10.1007/978-3-030-55845-1
*Tavakol, M., Tavakoli, M., & Ketabi, S. (2022). The impact of linguistic background on the nature of classroom dyadic interactions: evidence from L2 and L3 learners of English as a foreign language. International Multilingual Research Journal, 16(1), 1-26. 10.1080/19313152.2021.1929761
*Toth, P. D., & Davin, K. J. (2016). The sociocognitive imperative of L2 pedagogy. The Modern Language Journal, 100, 148-168. 10.1111/modl.12306
*Udeshinee, W. A. P., Knutsson, O., Barbutiu, S. M., & Jayathilake, C. (2024). Re-designing a regulatory scale for dynamic assessment in the synchronous text chat environment in collaboration with teachers. Computer Assisted Language Learning, 37(7), 1527-1553. 10.1080/09588221.2022. 2092153
Xia, Y., Luo, Y., & Lu, X. (2024). Dynamic assessment of vocabulary: A systematic literature review. Language Teaching Research Quarterly, 46, 297-324. https://doi.org/10.32038/ltrq.2024.46.19
Vygotsky, L. S. (1978). Mind in society. The development of higher psychological processes. (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds.). Harvard University Press.
*Zhang, K., Chen, J., & Yang, Z. (2024). Use of human-computer interactive games for the dynamic assessment of language skills of children with autism spectrum disorder. British Journal of Educational Technology, 55, 2383-2402. 10.1111/bjet.13438.
All reviewed studies were shown with an asterisk (*) in the references.
İndir
Yayınlanmış
Nasıl Atıf Yapılır
Sayı
Bölüm
Lisans
Telif Hakkı (c) 2025 International Journal of Social and Humanities Sciences Research (JSHSR)

Bu çalışma Creative Commons Attribution 4.0 International License ile lisanslanmıştır.
