IJRR

International Journal of Research and Review

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Year: 2023 | Month: October | Volume: 10 | Issue: 10 | Pages: 436-442

DOI: https://doi.org/10.52403/ijrr.20231054

Development of an Integrated Statistics E-Module with Flipbook and Augmented Reality

Ika Santia1, Darsono2, Adelia Kusuma Wardani3, Am Ayu Kusuma Dewi4

1,2Assistant Professor, Department of Mathematics Education, Nusantara PGRI University of Kediri, Kediri City, Indonesia
3,4Prospective Teacher, Department of Mathematics Education, Nusantara PGRI University of Kediri, Kediri City, Indonesia

Corresponding Author: Ika Santia

ABSTRACT

Numeration is an important aspect of learning mathematics. Numeration is the ability to apply mathematical symbols to solve everyday problems. The importance of numeration contradicts the conditions in the field, which show that students in the statistics class have not been able to solve problems related to numeracy properly due to a lack of multi-representational skills. This truth is evident from the opening observations made in statistics class revealed that, out of 37 pupils, only 12 were successful in converting verbal and graphic representations into symbolic ones to solve statistical issues correctly. In the meantime, 17 out of 25 students failed because they did not comprehend the issues represented graphically. The SPSS practice video barcode and software of studio.essemblrword.com has been used in statistical module development research to find a solution to this issue. All of these programs are integrated into e-modules, which are packaged in flipbook form. Define, design, develop, and disseminate steps of the 4-D model are used in the development process. In this study, a questionnaire was employed as a data gathering tool. Both qualitative and quantitative data were collected. The findings demonstrated that the produced module met the extremely feasible criteria for content feasibility (85.78%), linguistic feasibility (88.61%), presentation feasibility (84.82%), and visual feasibility (84.72%).

Keywords: Statistic E-Module, Multiple Representation, Augmented Reality

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