MODELS FOR DEVELOPING WRITTEN COMMUNICATION SKILLS IN DIGITAL LEARNING ENVIRONMENTS

Authors

  • Fayziyeva Oydiniso Hikmatovna Lecturer at Asia International University

Keywords:

Digital learning; writing skills; online education; collaborative writing; automated feedback; instructional models; learner engagement; self-regulated learning

Abstract

The usage of integration of digital technologies in different types of education has transformed the ways in which learners can  develop written communication skills as well. This current research examines various effective ways for enhancing and improving writing proficiency within digital learning environments, including online, blended, and hybrid contexts. Using an empirical-descriptive approach, this study analyzed student performance across collaborative writing platforms, structured tasks, and automated feedback systems. The results of this research show important improvements in coherence, grammatical accuracy, lexical diversity, and overall communicative effectiveness. Furthermore, collaborative and feedback-integrated instructional models proved particularly effective in fostering learner engagement, autonomy, and self-regulated learning. The findings provide practical guidance for educators seeking to design evidence-based digital writing instruction that promotes both cognitive and social dimensions of skill development.

References

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Warschauer, M., & Grimes, D. (2019). Automated writing assessment in the digital age. Computers and Composition, 51, 102–116.

Li, L., & Ni, H. (2020). Effects of collaborative writing on L2 learners’ writing performance in online environments. Journal of Second Language Writing, 49, 100–115.

Graham, S., Harris, K. R., & Adkins, M. (2021). Evidence-based writing instruction in digital learning environments. Reading & Writing Quarterly, 37(4), 327–345.

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Published

2026-04-12

How to Cite

Fayziyeva Oydiniso Hikmatovna. (2026). MODELS FOR DEVELOPING WRITTEN COMMUNICATION SKILLS IN DIGITAL LEARNING ENVIRONMENTS. Ethiopian International Journal of Multidisciplinary Research, 13(4), 970–973. Retrieved from https://eijmr.org/index.php/eijmr/article/view/6097