Development of electronic participant worksheets based on predict-observe-explain using PhET

Closed

Hanandita V. Saphira, Binar K. Prahani, Lena Febiola Lofita, Antomi Saregar, Adyt Anugrah, Megawati Ridwan Fitri, Utama Alan Deta

2026 AIP Conference Proceedings Vol. 3226 Issue 1 Conference paper Cited by 0 SDG 4 Quartile

Abstract

In the era of Industry 4.0, educators are expected to integrate technology into the learning process. Technological advancements provide opportunities to enhance learning quality, particularly through the use of computer-and Android-based learning tools. One such tool is the Electronic Student Worksheet (E-LKPD). This study aims to evaluate the feasibility and appeal of an E-LKPD designed using the Predict-Observe-Explain (POE) model and PhET simulations, specifically for teaching the kinetic theory of gases to 11th-grade students. The research employed the ADDIE development model. The findings indicate that the E-LKPD received a "highly feasible"rating from experts, with material experts scoring it at 83% and media experts at 85%. Educators responded positively with a 92.3% approval rate, while student feedback on its appeal was also favorable, 92.38% in the small group trial and 89.13% in the field test. Overall, the POE-based E-LKPD utilizing PhET is considered highly feasible and engaging, making it a suitable learning medium. © 2026 Author(s).

Affiliations

Faculty of Mathematics and Natural Science, Universitas Negeri Surabaya, Surabaya, Indonesia; Department of Physics Education, Universitas Islam Negeri Raden Intan Lampung, Lampung, Indonesia; Department of Physics Education, Institut Agama Islam Darul A'mal Lampung, Lampung, Indonesia

Research at a Glance

Premium content — register to unlock

Research at a Glance

Register to unlock

Topics & SDG Alignment

Premium content — register to unlock

Topics & SDG Alignment

Register to unlock

Collaboration

Premium content — register to unlock

Collaboration

Register to unlock

Author Profile (Selected)

Premium content — register to unlock

Author Profile (Selected)

Register to unlock

References Overview

Premium content — register to unlock

References Overview

Register to unlock

Journal & Source

Premium content — register to unlock

Journal & Source

Register to unlock

Metadata & Integrity

Premium content — register to unlock

Metadata & Integrity

Register to unlock