2010
DOI: 10.1007/s10212-010-0054-1
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Using analogy to improve abstract conditional reasoning in adolescents: not as easy as it looks

Abstract: reasoning refers to the ability to reason logically with premises that do not allow reference to knowledge about the real world. This form of reasoning is complex and difficult, and at the same time, it is critical for understanding science and mathematics. Two studies examined the use of analogy as a method to bridge reasoning with familiar content and abstract reasoning among older adolescents. The results showed that the ability to make an appropriate analogy depends on reasoning ability. Neither of the two… Show more

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Cited by 5 publications
(4 citation statements)
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References 42 publications
(62 reference statements)
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“…Similar obstacles were observed when using analogies to teach thermal equilibrium (Arnold and Millar, 1996). Abstract conditional reasoning is complex and difficult, even for older adolescents (Markovits and Doyon, 2011). Children and novices often fail to benefit from such analogical learning approaches when they are presented without support (Martin et al, 2019).…”
Section: Challenges In Reasoning Science Conceptions With Analogiesmentioning
confidence: 75%
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“…Similar obstacles were observed when using analogies to teach thermal equilibrium (Arnold and Millar, 1996). Abstract conditional reasoning is complex and difficult, even for older adolescents (Markovits and Doyon, 2011). Children and novices often fail to benefit from such analogical learning approaches when they are presented without support (Martin et al, 2019).…”
Section: Challenges In Reasoning Science Conceptions With Analogiesmentioning
confidence: 75%
“…Thinking with analogies may not be as easy as it looks, especially for adolescents. Markovits and Doyon (2011) related better performance to possession of better reasoning ability. I argue that level of reasoning ability does not exclusively explain the performance of abstract analogical reasoning.…”
Section: Discussionmentioning
confidence: 99%
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“…3 / 17 lack of rigour (Markovits & Doyon, 2011). Deductive proofs are rigorous logical statements that learners infer to validate conclusions (Lachmy & Koichu, 2014).…”
Section: Eurasia J Math Sci and Tech Edmentioning
confidence: 99%