The Integration of Artificial Intelligence-Based Applications in Digital Learning and Teaching Methods of Quantum Physics: A Literature Review

Abstract

The use of Artificial Intelligence (AI)-based applications has become increasingly widespread in the context of digital learning following the COVID-19 pandemic, where this technology has facilitated the teaching and learning (T&L) process virtually. Although various digital applications have been introduced in T&L methods, understanding the trends in AI-based application usage and its effectiveness in mastering Quantum Physics topics remains underexplored. Quantum Physics topics involve abstract concepts and often result in many misconceptions in students' understanding, leading to difficulties in mastering these topics. Therefore, this study was conducted to identify how the integration of AI-based applications in digital learning and T&L methods can empower T&L approaches in Quantum Physics. A systematic literature review was conducted on sources published from 2018 to 2024, covering 26 relevant journal articles and books. The findings indicate that the trend of using AI-based applications in Quantum Physics T&L methods is increasing globally, along with evidence of its effectiveness in enhancing students' interest, engagement, and understanding of abstract concepts through more dynamic and interactive approaches. T&L methods that involve interaction with learning content, such as the PopAi platform, can increase students' interest and engagement by simplifying the teaching of highly complex quantum physics concepts. Therefore, digital learning readiness also needs to be enhanced, including digital infrastructure and operational skills, so that the full potential of this AI technology can be harnessed in line with the success of the education revolution 4.0. Additionally, it can prepare future generations to be skilled in digital technology, ready to face challenges and opportunities in the era of technological advancement. In conclusion, the use of AI technology in Quantum Physics T&L methods is increasing, along with evidence of its effectiveness in improving students' achievement and interest in Quantum Physics T&L.