Research Article
Development of Statistical Inference RStudio Practicum Module to Improve Student’s Problem Solving Skills
@INPROCEEDINGS{10.4108/eai.17-9-2024.2352942, author={Prihatin Ningsih Sagala and Dian Septiana and Eri Widyastuti}, title={Development of Statistical Inference RStudio Practicum Module to Improve Student’s Problem Solving Skills}, proceedings={Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2025}, month={1}, keywords={rstudio practicum module statistical inference addie}, doi={10.4108/eai.17-9-2024.2352942} }- Prihatin Ningsih Sagala
Dian Septiana
Eri Widyastuti
Year: 2025
Development of Statistical Inference RStudio Practicum Module to Improve Student’s Problem Solving Skills
ICIESC
EAI
DOI: 10.4108/eai.17-9-2024.2352942
Abstract
Semester Lesson Plan (SLP) for the Statistical Inference Course based on Outcome-Based Education (OBE) is designed to attain the desired Graduate Attributes (GAs) of the Mathematics Education program. The course will be supplemented with an RStudio Practical Module to guide students in practicum problem-solving based on the teaching module. The synergy between the lesson plan and the practical module aims to enhance students' problem-solving skills related to research topics in Mathematics Education. The applied research of this product aims to: 1) Determine the level of students' problem-solving abilities after using the RStudio Practicum Module based on the SLP for Statistical Inference with an OBE approach, and 2) Evaluate whether the quality of the RStudio Practicum Module based on the SLP for Statistical Inference with an OBE approach fulfills the criteria of validity, practicality, and effectiveness. The research and development process adheres to the ADDIE model, encompassing the stages of analysis, design, development, implementation, and evaluation. The research subjects are students enrolled in the Statistical Inference course from two classes in the Mathematics Education program. Based on the validity test, a score of 89.28 was obtained, and the average class-level learning mastery was 84.08
