New Perspectives in Science Education

Advanced education in Computer Science (CS), Artificial Intelligence (AI), and Machine Learning (ML) demands not only theoretical mastery but also high-level cognitive abilities, such as scientific reasoning. Traditional pedagogy often teaches foundational mathematics, architectural design, and empirical testing sequentially, hindering the integrated, real-time understanding required for complex AI systems. This article proposes and outlines the design for a novel pedagogical model: the Triple Parallel Demonstration (TPD). The TPD model integrates three crucial streams -Empirical Investigative Studies, Software Architecture/Data Variables, and Mathematical Exemplification -simultaneously within a real-time, agent-assisted online tutoring environment. Drawing on principles from human-centric AI Agentic Design (emphasizing transparency, control, and consistency) and established research on promoting scientific reasoning through inquiry instruction, the TPD framework uses technology to manage and present these streams in parallel. This approach aims to accelerate student learning by ensuring that theoretical concepts are immediately validated against empirical evidence and instantiated within a transparent architectural context, thereby fostering superior scientific reasoning skills among both Bachelor and Master’s level students.