ArticleScientific reports2025
Leveraging AI-enabled mobile learning platforms to enhance the effectiveness of English teaching in universities.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The AI era has ushered in a new wave of opportunities for enhancing classroom education, particularly in the realm of higher education. This study investigates the integration of AI and mobile learning technologies to promote innovation and reform in education. It explores how AI-driven platforms, using soft computing networks, can improve students' critical thinking skills and foster deeper engagement with academic subjects. The research also examines the deployment techniques and procedures for incorporating mobile learning technologies into higher education settings. A comparison experiment is conducted to assess the effectiveness of the AI-driven system against traditional learning methods, revealing that AI-based learning enhances student motivation and practical skills. The study highlights the broader implications of AI in education, including its potential to facilitate global collaboration, enhance educational equity, and address the evolving needs of digitally connected learners. Finally, the paper suggests directions for future research, including the application of AI across various academic disciplines and the exploration of ethical considerations in AI-driven education.
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Registered trials
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.