AI Writing Assistants in Higher Education: A Comprehensive Review of Impact, Literacy, and Policy

AI writing tools like ChatGPT, QuillBot, and Grammarly have reshaped university writing workflows. Controlled studies show gains in grammatical accuracy, student engagement, and self-efficacy, but none of the intervention studies retained in this review directly measured critical thinking or other higher-order outcomes, leaving concerns about overreliance largely untested rather than resolved. Synthesising 68 references published between 2008 and 2025, including 42 empirical studies, this narrative review examines how students utilise generative AI, its influence on core learning outcomes, and necessary institutional adaptations for policy and assessment. To address these shifts, the paper synthesises empirical findings across diverse study designs and proposes a seven-dimension AI literacy framework alongside practical design principles for effectively integrating AI tools into modern writing instruction.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2026-09-21
DOI
https://doi.org/10.3390/educsci16091571
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

AI Writing Assistants in Higher Education: A Comprehensive Review of Impact, Literacy, and Policy

Yasir Mahmood, Elarbi Badidi, Omar Elharrouss, Mohammad Naouss
Education Sciences
Artificial Intelligence in Healthcare and Education
article

AI Writing Assistants in Higher Education: A Comprehensive Review of Impact, Literacy, and Policy

Yasir Mahmood, Elarbi Badidi, Omar Elharrouss, Mohammad Naouss
article en

Abstract

AI writing tools like ChatGPT, QuillBot, and Grammarly have reshaped university writing workflows. Controlled studies show gains in grammatical accuracy, student engagement, and self-efficacy, but none of the intervention studies retained in this review directly measured critical thinking or other higher-order outcomes, leaving concerns about overreliance largely untested rather than resolved. Synthesising 68 references published between 2008 and 2025, including 42 empirical studies, this narrative review examines how students utilise generative AI, its influence on core learning outcomes, and necessary institutional adaptations for policy and assessment. To address these shifts, the paper synthesises empirical findings across diverse study designs and proposes a seven-dimension AI literacy framework alongside practical design principles for effectively integrating AI tools into modern writing instruction.

Education SciencesVol. 16(9)
United Arab Emirates University (AE)
Quality Education
Openalex Percentile: Top 15%
Artificial Intelligence in Healthcare and Education
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.

AI Writing Assistants in Higher Education: A Comprehensive Review of Impact, Literacy, and Policy — Yasir Mahmood, Elarbi Badidi, et al. · Education Sciences (2026) | TGRS Research Map | TGRS