A Comparison between Generative Learning and Conventional Learning Model on Students' Mathematical Literacy in the 21st century

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Abstract

Mathematical literacy concentrates on students' ability to analyze, prove, and express ideas completely, solve, and interpret mathematically. The objective of the study was to distinguish between the generative learning model and the conventional learning model on students' mathematical literacy. This study adopted the quasi-experimental research design. The performance continued for four weeks and at the end of the program, post-test compositions were obtained from the nominees. The sample for the study was performed of 72 undergraduate students represented from two classes. Purposive sampling method was applied in selecting the sample. The results of the research presented that there was a significant discrepancy among the t-test score points of the generative learning and conventional group (P<0.05), namely tcount = 4.044 > ttable = 1.667. Therefore, it can be concluded that the average of students' mathematical literacy skill scores with the generative learning group was higher than the conventional learning group.

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Salsabila, E., Rahayu, W., Kharis, S. A. A., & Putri, A. (2020). A Comparison between Generative Learning and Conventional Learning Model on Students’ Mathematical Literacy in the 21st century. In Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019. European Alliance for Innovation. https://doi.org/10.4108/eai.12-10-2019.2296539

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