ArticleBMC medical education2024
E-learning platforms in ideological and political education at universities: students' motivation and learning performance.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- The impact of AI technology for ideological and political education teaching based on deep learning.Scientific reports · 2026Article
- From motivation to meaning in medical humanities: a mixed-methods study of Chinese medical students' value internalization.BMC medical education · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study aimed to examine the impact of using the MOODLE e-learning platform in ideological and political education on Chinese students' motivation and academic performance.
methodsThe study involved 447 students from China-based universities (the experimental group - 232 students who studied using electronic educational platforms, and the control group - 215 students who used no digital technologies in their learning). The following methods were used: Measuring the need to achieve success among students; T. I. Ilyina's method for studying motivation to study at university; Method for studying student success motivation; Method for studying the motives of students' educational activities; Method for determining the main motives for choosing a profession (E. M. Pavlyutenkov); Motivation of learning activities: Levels and types (I. S. Dombrovskaya). Students' academic performance was assessed by testing in the studied disciplines at the beginning and end of the study.
resultsAs a result, the significance of the motivational component in achieving the success of ideological and political education and the impact on students' motivation to use e-learning platforms is theoretically substantiated.
conclusionsIt has been confirmed that using e-learning platforms in ideological and political education helps increase student motivation and academic performance.
Indexed as
Identifiers
What OpenQuestion holds
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.