IndoMath: Indonesia Mathematics Education
Vol 9, No 1 (2026): Vol 9 No 1, February 2026

Problem-Based Learning with Deep Learning for Mathematical Reasoning in Vocational High School Students

Proborini, Ellen (Unknown)
Asy'ari, Fajar Husain (Unknown)



Article Info

Publish Date
26 Feb 2026

Abstract

Mathematical reasoning ability is an important skill that students need to have in order to analyze, compile evidence, and solve mathematical problems. The observation results show that the mathematical reasoning ability of grade XII students of SMK Wongsorejo Gombong is still relatively low. This could be caused by the application of passive learning models and less stimulation of higher-order thinking. The Problem-based Learning model is known as one of the effective learning models in maximizing reasoning and problem-solving skills. This study aims to determine whether there is a difference between the problem-based learning model with the Deep Learning, problem-based learning, and Direct learning approaches on students' mathematical reasoning abilities in mathematics lessons on geometric transformations. This study used 3 samples taken by random sampling method. The conclusion shows that the problem-based learning with Deep learning model provides better results than the problem-based learning and direct learning models, while the problem-based learning model provides better results than direct learning on students' mathematical reasoning abilities.

Copyrights © 2026






Journal Info

Abbrev

indomath

Publisher

Subject

Humanities Education

Description

Indomath publishes theoretical or empirical studies related to specific teaching and learning in the field of Mathematics Education. Indomath received publications from teachers, lecturers, and students as well as from observers and researchers of mathematics education. The scope of scientific ...