worked

The worked-example effect is a learning effect predicted by cognitive load theory (Sweller, 1988). Specifically, it refers to the learning effect observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving (Renkl, 2005) and discovery learning (Mayer, 2004). According to Sweller: "The worked example effect is the best known and most widely studied of the cognitive load effects" (Sweller, 2006, p. 165).
Worked examples improve learning by reducing cognitive load during skill acquisition, and "is one of the earliest and probably the best known cognitive load reducing technique" (Paas et al., 2003). In particular, worked examples provide instructions to reduce extraneous cognitive load and germane cognitive load for the learner initially when few schemas are available. Intrinsic cognitive load is a third type of cognitive load that provides a base load that is irreducible. Extraneous load is reduced by scaffolding of worked examples at the beginning of skill acquisition. Finally, worked examples can also increase germane load when prompts for self-explanations are used (Paas et al., 2003).
Renkl (2005) suggests that worked examples are best used in "sequences of faded examples for certain problem types in order to foster understanding in skill acquisition," and that prompts, help system, and/or training be used to facilitate the learners' self-explanations. This view is supported by experimental findings comparing a faded worked-example procedure and a well-supported problem solving approach (Schwonke et al., 2009).
"However, it is important to note that studying [worked examples] loses its effectiveness with increasing expertise" (Renkl, 2005), an effect known as the expertise reversal effect (Kalyuga, 2007). Further limitations of the classical worked-example method include "focusing on one single correct solution and on algorithmic skill domains" (Renkl, 2005). Addressing such restrictions in multimedia learning environments remains an area of active research (Renk l, 2005).

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