Evidence map›Paper›PMID 34027198›Full record

ArticleHeliyon2021

Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial.

Nabi Nazari, Muhammad Salman Shabbir, Roy Setiawan

Abstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. The Impact of AI on Learners' Self-Efficacy: A Meta-Analysis.Behavioral sciences (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Free software applications for authors for writing a research paper.Journal of family medicine and primary care · 2023
    Review
  12. Article
  13. Article
  14. Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world.Educational technology research and development : ETR & D · 2023
    Article
  15. Article
  16. Article
  17. Article
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

3 authors.

Nabi NazariDepartment of Psychology, Faculty of Human Sciences, Lorestan University, Khorramabad, Iran.
Muhammad Salman ShabbirDepartment of Management, College of Commerce and Business Administration, Dhofar University, 211 Salalah, Oman.
Roy SetiawanUniversitas Kristen Petra, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in educational technology integration is to engage students with different affective characteristics. Also, how technology shapes attitude and learning behavior is still lacking. Findings from educational psychology and learning sciences have gained less traction in research. The present study was conducted to examine the efficacy of a group format of an Artificial Intelligence (AI) powered writing tool for English second postgraduate students in the English academic writing context. In the present study, (N = 120) students were randomly allocated to either the equipped AI (

Indexed as

Artificial IntelligenceAutomated writing evaluationESLFeedbackFormative assessmentL2 writingPedagogy

Identifiers

PMID34027198
PMCPMC8131255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.