The worked example effect is explained by reduced element interactivity relative to problem solving, and reverses with expertise¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2023 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i? Studying worked examples reduces extraneous cognitive load compared with problem solving because learners process fewer interacting elements, and for more knowledgeable learners the advantage is reduced or eliminated. → Ouhao Chen · Fred Paas · John Sweller 2023

Evidence¶

Ouhao Chen · Fred Paas · John Sweller 2023¶

Ouhao Chen · Fred Paas · John Sweller. (2023). A Cognitive Load Theory Approach to Defining and Measuring Task Complexity Through Element Interactivity. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09782-w

q2 · i? · theoretical · r3

Theoretical explanation in the review: novices solving problems use means-ends analysis involving many interacting elements, whereas worked examples let learners "focus on a limited number of moves as the correct solution is provided", reducing extraneous cognitive load.

"The effect suggests that asking novices to study examples improves learning more than having them solve the equivalent problems (Sweller & Cooper, 1985)."

Discussion¶

Learner Variables¶

• Geometric Reasoning — moderator: an instructional effect differs with it
• Prior Knowledge — moderator: an instructional effect differs with it

Related Claims¶

• Element interactivity can be estimated by counting interacting elements, illustrated with about 28 elements for solving a/b = c and about 25 for a composite geometry area problem — a narrower finding that bears on this claim
• Instructional guidance that helps novices can become redundant or counterproductive as expertise grows. — related
• Expertise reversal: cognitive load effects for novices decrease, disappear, and can reverse as expertise increases — possibly the same claim (merge candidate)
• Prior knowledge and worked-example type (full vs completion) interact significantly on self-reported germane cognitive load, but not on intrinsic or extraneous load — related
• Prior knowledge, worked-example type (full vs completion) and task difficulty show a significant three-way interaction on an algebra posttest, but not on self-reported cognitive load — related
• Prompting learners to self-explain improves understanding and problem solving on immediate tests by a moderate average amount, with little evidence yet on delayed or classroom gains. — related
• Variability of practice interacts with problem format: high variability aids learning from worked examples but harms learning from conventional problems — a narrower finding that bears on this claim
• Learning through the experience of solving problems can build both content knowledge and thinking strategies — related
• Cognitive Overload Degrades Learning — a broader claim this one bears on
• The intrinsic–extraneous–germane distinction is conceptually problematic: definitions are tautological and expertise-dependent — related
• Element interactivity and expertise reversal effects: cognitive load effects diminish and may reverse as expertise increases because known elements chunk into single elements — a broader claim this one bears on
• Low variability materials enhanced learning regardless of guidance; expertise reversal found for variability in Experiment 2 — related
• No testing effect was found for acquiring problem-solving skills through worked example study across eight experiments — related
• The thesis hypothesises that with increasing expertise the worked example effect may be eliminated or reversed while the generation effect remains robust — related
• Worked examples result in better performance than conventional problem solving with no guidance, per prior work cited in the thesis — related