Learning System Design Philosophy - Traditional learning system design focuses on logic, data, dashboards, and methodology [1] - A key insight is that invitation and permission are more important than instructions in learning [3][4] - True learning starts from desire, not direction, emphasizing intrinsic motivation over external rewards like badges [5] - The learning process should prioritize curiosity, exploration outside of guidance, time for reflection, awareness, and creation [19] - Learning is not a straight line but a cyclical process of uploading and downloading knowledge [22] Challenges in Guidance and Data - Over-reliance on external guidance (like GPS or AI) can lead to negative outcomes [7][8] - Data used in learning systems may be incomplete, biased, or not reflective of real-world nature [14][15] - Personal experience significantly shapes perception and interpretation of data [15] - It's important to pause and reflect before making decisions, trusting subconscious signals [12] New Learning Formula - The industry should shift from a focus on content completion and compliance to curiosity, exploration, time, awareness, and creation [19] - The goal is to unlock the "black box" of each individual, collecting natural data and emotional signals for personalized learning [20][21]