Learning and Instruction in the Digital Age 2009
DOI: 10.1007/978-1-4419-1551-1_7
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The Role of Supportive Information in the Development and Progression of Mental Models

Abstract: In learning a complex skill, creation and elaboration of learners' conceptual and causal models benefit from supportive information provided at the beginning of instruction. On the other hand, it has been documented that practicing problem solving leads to better performance and transfer of complex cognitive skills. Despite the essential role of problem-solving practice for integration and transfer of knowledge and skills, providing novice learners with supportive information before practice can contribute sub… Show more

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Cited by 4 publications
(2 citation statements)
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“…Had they more exposure using the system, they might perform better. Supportive information is essential in the process of acquiring cognitive skills, but so is practice [26], whether those skills are recurrent (performed the same way on each incidence) or non-recurrent (performed differently according to conditions managed by complex rules or contextual features) [27].…”
Section: Resultsmentioning
confidence: 99%
“…Had they more exposure using the system, they might perform better. Supportive information is essential in the process of acquiring cognitive skills, but so is practice [26], whether those skills are recurrent (performed the same way on each incidence) or non-recurrent (performed differently according to conditions managed by complex rules or contextual features) [27].…”
Section: Resultsmentioning
confidence: 99%
“…The training of causal analysis and apllying the use of a concept also can improve mental model and the generated solution is better (Barret, 2013;Hester, 2012). The availability of information also important factor, the more information about the model, the easier for student to create mental model of it (Darabi, 2010). Beside the given problem, the other influencing factor toward the success of scientific learning is the process of investigation.…”
Section: Figure 2 Modeling Cyclementioning
confidence: 99%