THE EFFECT OF THE USE OF AI TECHNOLOGY (GPT Chat, Perplexity, Photomath, Canva), UNDERSTANDING OF SCIENCE CONCEPTS AND CRITICAL THINKING SKILLS IN SCIENCE LEARNING ON STUDENT LEARNING OUTCOMES IN PHASE D

Authors

  • Rifqi Aulia Mafaza Syaikh Wasil State Islamic University, Kediri
  • Ainun Rahmatun Nisak Syaikh Wasil State Islamic University, Kediri

DOI:

https://doi.org/10.23969/jp.v11i01.41672

Keywords:

Artificial Intelligence, Science Conceptual Understanding, Critical Thinking Skills

Abstract

This study aims to analyze the effect of the use of artificial intelligence (AI) technologies such as ChatGPT, Perplexity, Photomath, and Canva on the understanding of science concepts, critical thinking skills, and learning outcomes of Phase D students in science learning. Rapid technological developments offer significant opportunities to integrate AI into education to create a more interactive, efficient, and adaptive learning environment tailored to students' needs. However, empirical studies examining the effectiveness of AI technology in science learning, particularly for Phase D students, are still limited. This study used a quantitative method with a descriptive correlational approach. The subjects were Phase D students involved in technology-based science learning. Data were collected through questionnaires, learning achievement tests, and interviews to obtain comprehensive information regarding the use of AI technology. Instrument validity and reliability tests were conducted to ensure data quality. Data analysis was conducted using descriptive and inferential statistical tests to examine the relationship between the use of AI technology and the variables studied. The results showed that the use of AI technology had a positive and significant effect on students' understanding of science concepts. Students who utilized ChatGPT, Perplexity, Photomath, and Canva demonstrated a better understanding of science concepts compared to students who only used conventional learning methods. Furthermore, the integration of AI technology also improved students' critical thinking skills, as reflected in their ability to analyze, evaluate, and solve problems logically and creatively. Overall, student learning outcomes showed significant improvement, confirming that the integration of AI technology positively contributes to the quality of science learning.

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References

Facione, P. A. (1990). Critical Thinking: A Statement of Expert Consensus for Purposes of Educational Assessment and Instruction.

Yokhebed, Y. (2019). Profile of 21st Century Competency: Communication, Creativity, Collaboration, Critical Thinking at Prospective Biology Teachers. Bio-Pedagogy, 8(2), 94. https://doi.org/10.20961/bio-pedagogi.v8i2.36154

Articles in Press :

Ahmad, R., & Sari, D. (2024). The impact of artificial intelligence on students' critical thinking in science learning. Journal of Educational Technology.

Journal :

Brown, E., & Harris, T. (2022). AI-driven Learning: A New Paradigm in Education. Journal of Educational Technology, 27(3), 45–67.

Smith, J., & White, A. (2023). Exploring the Impact of Chatbots in Education. International Journal of Educational Development, 19(1), 22–34.

Kearney, M., & Gilbert, P. (2022). Time Efficiency in AI-Supported Learning. Journal of Innovative Learning, 18(2), 141–158.

Martin, L., & Green, S. (2023). The Role of AI in Enhancing Research Skills Among Students. Educational Research International, 31(1), 33–48.

Yilmaz, E., & Durak, G. (2021). Motivation in Autonomous Learning with AI. Educational Psychology Review, 39(4), 410–428.

Johnson, D., & Li, F. (2022). Enhancing Mathematical Understanding with AI Tools. Mathematics Education Journal, 40(3), 212–230.

Perez, R., & Wallace, K. (2023). Using AI Applications to Improve Problem-Solving Skills. International Journal of STEM Education, 15(1), 78–95.

Wang, Q., & Lee, M. (2023). Visual Learning and Critical Thinking through AI Tools. Journal of Digital Education, 28(2), 101–120.

Thomas, L., & Walker, S. (2022). Visualization Techniques in AI-assisted Education. Innovative Teaching and Learning, 23(4), 198–210.

Roberts, K., & Young, M. (2023). Measuring Cognitive and Critical Thinking Outcomes in AI-supported Classrooms. Journal of Educational Research, 17(2), 88–102.

Davis, A., & Patel, N. (2021). Preparing Students for the Future: AI in Education. Future of Education Journal, 24(1), 51–68.

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Published

2026-01-29