Problem-Based Learning (PBL) Model with a Realistic Mathematics Education (RME) Approach in Statistics and Probability Courses Isna Wardiah, Herlinawati
Politeknik Negeri Banjarmasin
Abstract
In higher education, students are now expected to possess critical thinking and problem-solving skills. This shift from teacher-centred to student-centred learning, known as Student-Centered Learning (SCL), emphasizes independent learning. Problem-Based Learning (PBL) learning model is one application of SCL learning. On the other hand, the PBL model is related to a realistic mathematical education (RME) approach. This research aims to formulate a statistical and probability learning model using a problem-based learning and realistic mathematical education approach along with valid learning tools. The learning model was formulated using literature studies. Development of tools (syllabus, lesson plans and student handbook) using R&D design by Borg and Gall. Test the validity of the device by a team of experts. This research resulted in the formulation of a learning model combining PBL and RME for statistics and probability courses, which was derived in the form of learning tools (syllabus, lesson plans, student handbook). The device validity tested by two experts obtained a product validity score of 4.15, so it was concluded that the resulting device was valid. The results of this research were applied to the statistics and probability course, Smart City Information Systems (SIKC) study program, Poliban. Its implementation is expected to improve the quality of student learning and encourage students to have critical thinking and problem-solving skills
Keywords: Problem-Based Learning- Realistic Mathematics Education- Statistics and Probability Courses
