Unnes Science Education Journal
Vol. 14 No. 3 (2025): December 2025

Problem Based Learning and Deep Learning Approach Effects on Student Learning Outcomes

Julia, Julia (Unknown)
Ristanto, Sigit (Unknown)
Kuriawan, Affandi Faisal (Unknown)
Khoiri, Nur (Unknown)



Article Info

Publish Date
15 Dec 2025

Abstract

This study aims to determine the effect of Problem Based Learning (PBL) model assisted by PhET Simulation with Deep Learning approach on student learning outcomes on dynamic fluid topic. The research used a quantitative approach with a quasi-experimental design. The subjects consisted of two XI classes in one of the randomly selected high schools in Semarang. The experimental class used the PBL model combined with PhET simulation to fill in the Learner Worksheet (LKPD) related to the discharge and continuity equations, while the control class did not use PhET and did not fill in the LKPD. Both classes were then given a learning outcome test. The results of the analysis using the Mann-Whitney test showed a significant difference between the learning outcomes of the two classes (U = .000, Z = -5.737, p < 0.001), with the experimental class scoring higher (M = 80) than the control class (M = 19). These findings show that the PBL model assisted by PhET Simulation and a deep learning approach improved student learning outcomes. The conclusion of this study is that the application of PBL model assisted by PhET Simulation and Deep Learning approach effectively improves student learning outcomes on dynamic fluid topic. 

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Journal Info

Abbrev

usej

Publisher

Subject

Education

Description

This journal publishes original articles on the latest issues and trends occurring internationally in science curriculum, instruction, learning, policy, and preparation of science teachers with the aim to advance our knowledge of science education theory and ...