Trends in English Language Assessment Research: A Bibliometric Analysis (2020-2026)

This study provides a bibliometric analysis of the research landscape of English language assessment from 2020 to 2025 and articles that were indexed in 2026 to inspect the scope of recently published research articles. Data were extracted from the Scopus database, and bibliometrics were analyzed via VOSviewer. Content analysis was conducted to understand the changes in the research topics. The study reveals the pedagogical, psychological, and technological focus within the English language assessment research landscape. English language assessment research has changed from implementing immediate modifications owing to the COVID-19 pandemic to an AI-focused strategy between 2020 and 2026. Ghiasvand, F. is the leading author, while Khodabakhshzadeh, H., and Maleki, A. are the most cited authors in this domain. Future research must go beyond detecting AI to assessing AI.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-23
DOI
https://doi.org/10.5281/zenodo.18345753
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends in English Language Assessment Research: A Bibliometric Analysis (2020-2026)

Fatma KÖPRÜLÜ, Birtun BENER
Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

Trends in English Language Assessment Research: A Bibliometric Analysis (2020-2026)

Fatma KÖPRÜLÜ, Birtun BENER
article en

Abstract

This study provides a bibliometric analysis of the research landscape of English language assessment from 2020 to 2025 and articles that were indexed in 2026 to inspect the scope of recently published research articles. Data were extracted from the Scopus database, and bibliometrics were analyzed via VOSviewer. Content analysis was conducted to understand the changes in the research topics. The study reveals the pedagogical, psychological, and technological focus within the English language assessment research landscape. English language assessment research has changed from implementing immediate modifications owing to the COVID-19 pandemic to an AI-focused strategy between 2020 and 2026. Ghiasvand, F. is the leading author, while Khodabakhshzadeh, H., and Maleki, A. are the most cited authors in this domain. Future research must go beyond detecting AI to assessing AI.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 82%
Technology-Enhanced Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.