Leveraging Artificial Intelligence for Interactive Web Applications in Remote Science Education
Abstract
This study explores the systematic integration of Artificial Intelligence (AI) in the development of interactive online educational applications, aiming to improve the teaching of sciences in the context of distance education. Through the collaborative approach with interactive language models, two original educational applications were developed: an interactive periodic table for the exploration of atomic structures and an ideal gas simulation for the study of the ideal gas equation of state (PV=nRT). The applications are accompanied by targeted worksheets that follow the 5E educational model and support active learning in the digital environment. The methodology demonstrates how AI can function as a co-creation tool, allowing teachers to develop customized learning environments without advanced technical programming skills. Using modern web technologies (HTML5, CSS3, JavaScript ES6), the applications ensure cross-platform compatibility and responsive design, making them accessible on multiple devices. In this way, an effective replacement of laboratory experiences is achieved, overcoming geographical and socio-economic barriers through free distribution and low-cost implementation. The collaborative teacher-AI model creates new pedagogical approaches where teachers become tool creators without technical expertise, shifting the focus to pedagogical design rather than technical implementation.
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