From the known to the unknown: The role of spontaneous and self-generated analogies in students’ predictions about novel situations

Fotou, Nikolaos and Abrahams, Ian (2021) From the known to the unknown: The role of spontaneous and self-generated analogies in students’ predictions about novel situations. Research in Science & Technological Education . ISSN 0263-5143

Full content URL: https://doi.org/10.1080/02635143.2021.1977619

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02635143.2021.1977619

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From the known to the unknown: The role of spontaneous and self-generated analogies in students’ predictions about novel situations
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Item Type:Article
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Abstract

The use of analogies as reasoning tools that play a key role in human cognition at all ages has been of interest to educators, scientists, and philosophers ever since Aristotle. Indeed, research has consistently found that analogies provided by teachers can, and do, play an important role in facilitating student understanding of scientific ideas. Despite the effectiveness of teacher provided analogies little research has been undertaken on the use, and effectiveness, of student self-generated analogies in helping them to understand novel situations. This article reports on a cross-age study of student prediction-making in novel situations that investigated the basis and justification that students provided when asked to make predictions about novel situations. The study investigated whether they self-generated analogies (SGAs) in order to make their predictions and, in particular, whether such predictions and justifications were based on their use of SGAs.

Keywords:Analogies, Analogical reasoning, Novel situations, Predictions
Subjects:X Education > X320 Academic studies in Primary Education
X Education > X990 Education not elsewhere classified
X Education > X390 Academic studies in Education not elsewhere classified
X Education > X300 Academic studies in Education
X Education > X100 Training Teachers
X Education > X330 Academic studies in Secondary Education
X Education > X900 Others in Education
Divisions:College of Social Science > School of Education
ID Code:47173
Deposited On:09 Dec 2021 12:56

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