ArticleComputational intelligence and neuroscience2022
Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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 contributions of AI in the development of ideological and political perspectives in education.Heliyon · 2023Article
- Retracted: Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence.Computational intelligence and neuroscience · 2023Article
Corrections and comments
- Retraction · 2023-08-02Concerns/Issues about Data · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/D6A98993B4D26168FE3D1972C79CFA
- Retracted
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aims to explore the influence of big data on college students' learning methods of ideological and political education (IPE) under artificial intelligence. First, the characteristics of big data are analyzed. Second, big data is introduced into IPE's classroom teaching, and its influence on students' learning methods is discussed. Finally, the questionnaire is designed to investigate students' learning attitudes and teachers' effectiveness. The results show that the scores of the students are poor, and the traditional teaching method should be updated to improve the teaching quality of IPE. Motivating students' enthusiasm and updating the teaching content are the main tasks to improve students' learning effect on IPE. College students who receive IPE based on big data have better academic performance and a positive learning attitude, and each factor is more significant than 0.05. It is concluded that big data has a considerable impact on IPE. It can promote students' mastery of the knowledge and improve their learning efficiency.
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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.