Teaching for Complex Learning & Robust Knowledge
What Is Robust Knowledge? Various studies point to three important characteristics of robust knowledge-it is deep, connected, and coherent. Deep knowledge is knowledge about underlying principles that allows experts to recognize the same principle based features in seemingly different problems. Teaching for Robust Knowledge Some strategies incorporated into most teaching approaches are: Practice, Worked Examples, Analogies, & Self Explanation. Practice : Over learning, practicing even after doing skill or a procedure makes performance smooth, fast, and automatic. Practice can be effective in developing procedural knowledge of how to do things, but not beneficial itself helping students learn analogous things-solve knowledge across. Retrieval practice or testing is better than restudying for remembering information. Worked Examples : Worked examples can support the development of robust knowledge by managing cognitive load that student’s working memory not overwhelmed. T...