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Quasi-experiment reveals higher post-test performance under error-first instruction in technical college students, suggesting cognitive conflict enhances knowledge reconstruction.
To understand the motion of objects in mechanics, it is necessary to formulate and solve equations of motion. This process requires isolating the object of interest, drawing a diagram that represents all forces acting on it with arrows, and then describing the state of motion consistently based on the diagram and the relationship among force, acceleration, and velocity. However, beginners often make systematic errors in these representations, for example, drawing incorrect force directions or magnitudes, or confusing the relationship between acceleration and velocity. This study examined how the learning sequence of Error-Based Simulation (EBS) and Structural Description Exercise (SDE) influences the correction of such errors in mechanics learning. EBS is a method that simulates “how it would move if that idea were correct” based on learners’ incorrect diagrams, thereby making prediction failures explicit and inducing cognitive conflict. SDE, in contrast, supports the organization of knowledge structures by having learners describe physical quantities in a tabular form. Results from a quasi-experiment with technical college students showed that, in analyses controlling for pre-test scores, the sequence prioritizing EBS (EBS→SDE) was associated with significantly greater adjusted post-test performance than the SDE-first group (SDE→EBS). These results suggest that experiencing the failure of predictions generated from incorrect representations through EBS, followed by organizing relational structures via SDE when learners are more ready to revise their thinking, more effectively promotes knowledge reconstruction as reflected in reduced errors and improved consistency of descriptions. Importantly, the present study evaluates learning effects in terms of observable errors and performance; it does not directly identify or measure changes in learners’ misconceptions themselves. This implies that, when designing learning support systems, it may be crucial to arrange opportunities for “awareness of errors” and “structural organization” in an appropriate sequence, rather than focusing solely on presenting correct knowledge structures.
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IMON et al. (2026) studied this question.
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