ArticleScientific reports2026
Evaluation of teaching effect factors based on probabilistic language set.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
To evaluate the factors influencing the teaching effectiveness of the "Safety Access Education in University Laboratories" course, a probabilistic linguistic term set-based evaluation method is proposed. Firstly, evaluation indicators are constructed based on semantics. To ensure the objectivity of weight allocation, the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method is used to calculate the weights of these indicators. Secondly, the probabilistic linguistic term set (PLTS) is combined with the possibility degree formula to construct a probabilistic linguistic possibility degree evaluation matrix. This matrix comprehensively reflects the "expectation" and "variance" characteristics of two PLTS. Finally, the linguistic evaluation information of the candidate sets is compared using the probabilistic linguistic possibility degree evaluation matrix, and a comprehensive possibility degree matrix is calculated and ranked. Various experimental results validate the stability and effectiveness of the proposed method in evaluating the factors influencing the teaching effectiveness of the "Safety Access Education in University Laboratories" course and its applicability in enhancing teaching effectiveness.
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.