COMESc Model Learning Effectiveness To Grow Student's Statistical Thinking Ability

Nio, Tan Hian and Suyitno, Hardi and Kartono, Kartono and Mariani, Scolastica and Wardono, Wardono and Manullang, Bitman (2021) COMESc Model Learning Effectiveness To Grow Student's Statistical Thinking Ability. International Journal of Education and Research, 9 (12). pp. 143-152. ISSN 2411-5681

[img] Text
COMEScModelLearningEffectivenessToGrowStudent'sStatisticalThinkingAbility.pdf

Download (47kB)
Official URL: https://ijern.com/

Abstract

The purpose of this development research is to produce a valid and effective COMESc learning model in the introductory learning of inferential statistics at the preparatory level of mathematics education students. To determine the validity and effectiveness of the model, expert verification sheets, questionnaire responses from lecturers and observers were used, as well as student learning outcomes tests. The results of data analysis show the average level of model validity from 92 experts which is classified as very valid. The COMESc learning model is effective with a learning achievement of at least 70 as seen from the gain normality index of 0.46. This result is strongly influenced by the learning model given with Cohen's D effect size value of 3.36. Thus, it can be concluded that COMESc learning is effectively used in introductory inferential statistics lectures to develop statistical thinking skills. Keywords: Model, COMESc, Effective.

Item Type: Article
Subjects: EDUCATION
Depositing User: Mr. Admin Repository
Date Deposited: 30 Jun 2025 02:06
Last Modified: 30 Jun 2025 02:06
URI: http://repository.uki.ac.id/id/eprint/19375

Actions (login required)

View Item View Item