Albert Tan
Mathematical Physicist – STEAM Innovator – AI Robotics Specialist
Pioneering the boundary between abstract mathematical frameworks and cognitive robotic deployment. This workspace serves as a frontier tech repository, detailing advanced research applications and structural STEAM education curriculum for a global community.
Latest Research and Digital Simulations
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Let’s Talk About Educations’ Curriculum
First of all, I conduct this research without my participants knowing about their answers will be recorded and analyzed. The participants for my current research come from three different kinds of social clubs’ activities with on-the-spot topics each week. The first club from the English club activity and participants in this club come from…
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The Traditional vs the Progressive Approach of Teaching-Learning
Traditional notions and progressive approach of teaching-learning, what have we ever know about this on schooling? I ever wonder, what would be the proper method that we need as humans? On the other hand, during my journey as an educator, along with several schools that I have been joined purposely and non-purposely, very…
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The Analogy and Reconceptualization of Curriculum in the Last 40 Years
As many as other things that we know, the Earthling timeframe for 40 years, means isn’t a short time, it’s roughly 4 decades. The time that brings humanity from a newborn baby to become an old man, which means the time that taught us a lot on how we should define, improve, and adjust to…
Featured Presentation/Publications in e-PDF
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The Architecture of the Pitch
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Building AI Startups in an Era of Exponential Change
A Strategic Playbook for Navigating the Shift from SaaS to Service-as-a-Software 2026 Edition, Version 1.0 Product Description AI changes the startup equation: from selling software seats to delivering measurable work. This visual strategic playbook for understanding the economics, operating models, defensibility, and execution speed of AI-native companies. Building AI Startups in an Era of Exponential…
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Prediction Has Limits: Bridging the Model-Measurement Boundary
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