Integrating Mathematics Modular Worktext in Teaching Statistics: A Meta-cognitive Procedure

##plugins.themes.academic_pro.article.main##

Razil M. Gumanoy

Abstract

Modular Worktext is one of the latest innovations in the educational system. This innovation in the modular approach contains a series of activities each of which start with teaching instructions addressed to the learners, explanation, exercises and generalizations. Modular worktext is applicable for enrichment, remedial work, absentee instruction and correspondence courses. Modules could be used for recurring, seasonal questions to maximize his time, or for small groups working without a teacher. The study investigated the result of pre-post-test on Statistics using the two teaching strategies on the academic performance of the students. This was conducted at Surigao Del Sur State University during the 1st semester academic year 2017-2018. The quisi-experimental research design method was used. A total of 60 students from the college of engineering and the college of teacher education were utilized as subjects of this study. Some 30 students were placed in the conventional group and another 30 students were assigned in the experimental group. The study examined the comparison of the performance of the students in Statistics between those who were exposed to conventional strategy and integrating mathematics modular worktext strategy. The study revealed that the results of the pre-post-test on Statistics showed the marks for the control group which gained a marginally higher mean than that of the experimental group. Modular worktext students got a significantly achievements in selected topics in Statistics. The findings also showed that there is a significant interaction effect in the achievement of students when they are exposed using the two teaching methods and when grouped according to their mathematical ability.

##plugins.themes.academic_pro.article.details##

How to Cite
Gumanoy, R. M. (2019). Integrating Mathematics Modular Worktext in Teaching Statistics: A Meta-cognitive Procedure. The International Journal of Humanities & Social Studies, 7(5). https://doi.org/10.24940/theijhss/2019/v7/i5/HS1905-045