Science Area

The Level of Effectiveness of Using Augmented Reality in Teaching Science 4-6 at Siena College of San Jose, Inc., S.Y. 2024-2025

Proponents:

Abaigar, Randolph Jeus G., Apayong, Jhon Paul V., Garcia, Ryan Jeffry M. and

Jaquas, Diana Rose

Abstract

The goal of this action research is to know the level of effectiveness of augmented reality (AR) or simulation apps in teaching elementary science. The study was conducted among Grade 4 to 6 students at Siena College of San Jose, Inc. for the school year 2024-2025 to determine how AR apps impact student interest, motivation, encouragement, and understanding of science concepts. This study will employ a descriptive-action research approach. It will involve the standard action research steps of planning, execution, observation, and reflection to assess and improve the teaching-learning process in science through the use of simulation apps. In this study, data were analyzed qualitatively using open-ended responses and interviews, which were then thematically analyzed to identify common patterns and insights. In addition, the data were statistically analyzed using survey ratings and basic statistical processes, such as calculating the mean average. The data showed that the level of effectiveness of AR apps is highly effective. All students across grade levels agreed that AR tool-supported lessons were engaging, which helped them retain science concepts and ideas by making learning more interactive and easier to understand, resulting in improved academic performance and confidence in dealing with assessments. Furthermore, students required additional time to explore AR functionalities and seek explanations; it is recommended that more research and activity aspects be incorporated to facilitate this process (O’Connor & Mahony, 2023). Teachers frequently proposed adding more engaging components to AR tools, as well as more imaginative animations, to boost both visual appeal and pedagogical efficacy (Rashid et al., 2024).

Keywords: Augmented Reality, AR-tool, simulation