Metalearning, derived from the Greek prefix "meta" meaning "beyond" or "about," refers to learning how to learn. Instead of diving directly into a new skill, metalearning involves creating a learning map by addressing three key questions: Why learn this skill? What knowledge and abilities are needed? How can resources and methods be utilized? This approach shifts focus from the skil itself to the methodology of acquiring it.

Engineering thinking, common in software development, emphasizes actionable strategies. Key principles include taking action, breaking down structures, quantifying tasks, listing items, and making trade-offs. For learning, decomposition and prioritization are particularly valuable. Engineers tackle complex problems by splitting them into manageable sub-tasks, iterating until each is executable, under the belief that no problem is unsolvable—only constrained by cost.

Combining metalearning with engineering thinking enhances learning efficiency. For example, when learning front-end development, avoid starting with random tutorials or books. First, clarify your motivation: Is it for a job or a hobby? If aiming for employment, analyze job postings to identify required skills like HTML, CSS, JavaScript, Vue, or React. Quantify skill frequency, compare entry-level and advanced roles, and research technologies to understand their purposes and market demand. This process helps create a learning map and make informed choices, such as selecting between Vue and React based on salary or job availability.

Decompose the learning into a structured plan. For instance, break down front-end topics into weekly and daily tasks, akin to project scheduling. This approach ensures clarity and progress tracking, aligning with engineering practices.

In a personal example, improving written expression involved defining the goal (writing technical articles) and decomposing it. After assessing platforms like Juejin, focus shifted to front-end topics, then to visualization, specifically 2D graphics with Fabric.js. Learning involved reviewing demos, implementing a simple example, and studying documentation. To teach others, the goal was decomposed into smaller articles, each covering specific features like custom right-click menus, following a step-by-step structure for clarity.

Long-term application of this method not only clarifies learning objectives but also enhances understanding of personal and project needs, potentially aiding in anticipating product requirements. By integrating metalearning's strategic mapping with engineering's systematic breakdown, learners can navigate new domains more effectively and adaptively.