Implementation of discovery learning model on students’ mathematical literacy skills

This research aimed to determine whether there was the difference between the average results of the pre-test and post-test on students’ mathematical literacy skills through the discovery learning model. It was conducted using Pre- Experimental Research with the research population being all student...

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Hauptverfasser: Rahmadani, Elfira, Saragih, Sahat, Anim, Anim, Syafitri, Ely, Rakiyah, Siti, Sari, Dwi Novita, Batubara, Ismail Hanif, Nuraini, Nuraini, Sari, Nilam
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:This research aimed to determine whether there was the difference between the average results of the pre-test and post-test on students’ mathematical literacy skills through the discovery learning model. It was conducted using Pre- Experimental Research with the research population being all students of Grade VII SMP Quran Kisaran. Class sample selection was done randomly and selectively. The instrument used was the test of students’ mathematical literacy skills. The data in this research were analyzed by using parametric statistical analysis. Statistical analysis of the data was carried out by using Paired Sample T-test analysis. The results showed that there was a significant difference between the results of the pre-test and post-test on students’ mathematical literacy skills through discovery learning; and the mean of pre-test and post-test was 26.67  in pre-test and 34.87 in post-test. Based on the data, it was found that students who were in the fast understanding category were more active in groups and better in making ideas in their own arguments than students who still did not understand or had difficulty understanding the problems, but the data obtained was not valid, researchers only conducted observation and interview to determine the categories of students who understood quickly or not, so that it becomes a suggestion for further researchers to pay more attention to the students’ skills in the high, medium, and low categories, so that later it can be concluded strongly that this model is more recommended for high, medium, or low skill.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0117170