Evidence map›Paper›PMID 39071645›Full record

ArticleHeliyon2024

The RMS teaching model with brainstorming technique and student digital literacy as predictors of mathematical literacy.

Komarudin Komarudin, Suherman Suherman, Tibor Vidákovich

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
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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.

Komarudin KomarudinDepartment of Mathematics Education, Universitas Islam Negeri Raden Fatah Palembang, Palembang, Indonesia.
Suherman SuhermanDoctoral School of Education, University of Szeged, Szeged, Hungary.
Tibor VidákovichInstitute of Education, University of Szeged, Szeged, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of educational sciences, combining various research studies is essential for the development of key competencies such as digital and mathematical literacy. However, there is a research gap in understanding the challenges of implementing the Reading, Mind Mapping, and Sharing (RMS) teaching model in Indonesian schools, which requires a model customised for the unique context of the Indonesian education system. The objective of this research is to assess the impact of the RMS teaching model on students' digital and mathematical literacy. The study employed a quasi-experimental design, consisting of two experimental classes and one control class. The first experimental class used the RMS teaching model with brainstorming techniques. The second experimental class used the RMS teaching model without brainstorming. The control class followed standard instruction based on the school curriculum. During the even semester, a total of 96 secondary school students from two different schools in Bandar Lampung, a province in Indonesia, participated in both the experimental and control groups. Data collection was carried out using a questionnaire and a test. To analyse the data, Winstep and SPSS applications were used. The study's findings supported for the effectiveness of the RMS teaching model combined with the brainstorming method in enhancing students' mathematical literacy and digital literacy. Students who were taught this approach demonstrated higher mathematical literacy skills compared to those who received instruction using the RMS teaching model and direct instruction methods. This model can act as a guide for teachers to modify their approaches creating a captivating learning atmosphere that matches the requirements of students.

Indexed as

Brainstorming techniqueDigital literacyMathematical literacyRMS teaching model

Identifiers

PMID39071645
PMCPMC11283056

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Registered trials

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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.