Evidence map›Paper›PMID 42272728›Full record

SynthesisFrontiers in psychology2026

Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth.

Mohamed Sayed Abdellatif, Mohammed A Alshehri, Ali Lamouchi, Mohammed Rahmath, Mohamed Ali Nemt-Allah

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mohamed Sayed Abdellatif *Department of Psychology, College of Education in Al-Kharj, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
Mohammed A Alshehri *Department of Curriculum and Instruction, College of Education, King Saud University, Riyadh, Saudi Arabia.
Ali LamouchiDepartment of English Language and Literature, College of Science and Humanities, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Mohammed RahmathDepartment of Computer Engineering and Information, College of Engineering in Wadi Adwassir, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Mohamed Ali Nemt-AllahDepartment of Educational Psychology and Statistics, Faculty of Education, Al-Azhar University, Tafhna Al-Ashraf, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review synthesizes empirical evidence from 19 studies examining AI (AI) integration in academic writing assessment across higher education contexts. Following PRISMA 2020 guidelines, the review addresses five interconnected research questions regarding AI tool functionality, stakeholder perceptions, student motivations, institutional implementation gaps, and assessment redesign strategies. Findings reveal that generative AI platforms, particularly ChatGPT (88.8% adoption) and Grammarly (67.4%), dominate across writing stages, with students strategically deploying tools based on cognitive complexity levels. Stakeholder perspectives diverge significantly: students value productivity enhancement and accessibility, faculty prioritize academic integrity concerns, and administrators adopt cautious openness with disproportionate resource allocation favoring faculty guidance (67%) over direct student support (17.8%). Student motivations for inappropriate use stem from structural vulnerabilities including time pressures, ethical ambiguity, and institutional policy voids rather than malicious intent. Geographic inequities persist, with Global South institutions facing infrastructure limitations that amplify educational disparities. Promising pedagogical and assessment innovations include process-oriented assessment, oral defenses, multimodal composing, and explicit AI literacy curricula-each targeting the redesign of writing evaluation practices to balance AI assistance with authentic skill development. The review concludes that effective integration requires moving beyond detection-focused approaches toward comprehensive pedagogical redesign grounded in equity, authentic learning, and development of uniquely human capacities for critical judgment and ethical reasoning.

Indexed as

academic integrityacademic writing assessmentAI literacyartificial intelligencegenerative AIhigher educationstakeholder perceptions

Identifiers

PMID42272728
PMCPMC13246662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.