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The influence of category learning condition on metacognitive monitoring of categorization tasks


Žauhar, Valnea; Bajšanski, Igor; Domijan, Dražen
The influence of category learning condition on metacognitive monitoring of categorization tasks // Current trends in psychology 2017 - Book of abstracts
Novi Sad: Filozofski fakultet Univerziteta u Novom Sadu, 2017. str. 106-107 (predavanje, međunarodna recenzija, sažetak, ostalo)


Naslov
The influence of category learning condition on metacognitive monitoring of categorization tasks

Autori
Žauhar, Valnea ; Bajšanski, Igor ; Domijan, Dražen

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
Current trends in psychology 2017 - Book of abstracts / - Novi Sad : Filozofski fakultet Univerziteta u Novom Sadu, 2017, 106-107

ISBN
978-86-6065-434-4

Skup
Current trends in psychology 2017

Mjesto i datum
Novi Sad, Srbija, 19-21.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Category learning ; learning conditions ; classification accuracy ; metacognitive monitoring ; item similarity

Sažetak
Category learning can be an explicit process when the rule that defines category membership is available, or an implicit process of slow associating members to categories when the rule is not known. The empirical question is whether the implicit process of learning categories can be facilitated by explicitly informing participants to direct their attention on relevant aspects of the category members in situation when the correct rule is not discovered. In this study, we examined whether classification accuracy and metacognitive monitoring of that accuracy reflect the category learning condition. Participants were divided into four groups that learned complex categories in which category membership was defined by a three-dimensional rule. The stimuli were arrows presented on a background. Three relevant dimensions with respect to categorization rules were arrow orientation, arrow color, or arrow numerosity. The background color and shape were irrelevant dimensions. In the course of learning, the first group was informed about the correct rule, the second group was instructed to direct the attention to the arrows and to ignore the background, the third group was informed about three relevant imensions, and the fourth group was not given any information. In the following prediction phase, participants were asked to predict the likelihood that they could correctly classify novel exemplars in the subsequent transfer phase at the category level by giving category learning judgments (CLJs). Finally, in the transfer phase, participants were asked to classify stimuli that varied in similarity to exemplars observed in the learning phase (old vs. similar vs. dissimilar) and to give confidence judgments about each classification. The analyses were performed only for participants who acquired complete accuracy during learning. The results of the prediction phase showed that CLJs were not sensitive to learning conditions (F(3, 41)= 1.94, p>.05). More precisely, participants who successfully learned correct category memberships predicted the likelihood that they could correctly classify novel exemplars in the transfer phase to be moderate (Ms< 72%). As expected, in the transfer phase the results revealed significant learning condition x item similarity interactions for both accuracy (F(6, 82)=3.33 ; p<.01) and confidence (F(6, 82)=10.31, p<.001). Informing participants about relevant dimensions in three learning conditions resulted in equally high accuracy (Ms< 82%) and confidence (Ms<86%) for three levels of item similarity. Conversely, accuracy and confidence decreased as a function of item similarity when participants were not given any information (ps<.05, Accuracy: Mold=92.92%, Ms=82.42%, Mds=74.17% ; Confidence: Mold=92.41%, Ms=86.6%, Mds=66.17%). The obtained results suggest that once attention is directed toward relevant dimensions, even when participants are not explicitly informed about the correct rule, categorization performance can be facilitated.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-4139 - Metakognicija kod kategorijalnog učenja, mišljenja i razumijevanja (Dražen Domijan, )
University of Rijeka Research Grant 13.04.1.3.11

Ustanove
Filozofski fakultet, Rijeka

Citiraj ovu publikaciju

Žauhar, Valnea; Bajšanski, Igor; Domijan, Dražen
The influence of category learning condition on metacognitive monitoring of categorization tasks // Current trends in psychology 2017 - Book of abstracts
Novi Sad: Filozofski fakultet Univerziteta u Novom Sadu, 2017. str. 106-107 (predavanje, međunarodna recenzija, sažetak, ostalo)
Žauhar, V., Bajšanski, I. & Domijan, D. (2017) The influence of category learning condition on metacognitive monitoring of categorization tasks. U: Current trends in psychology 2017 - Book of abstracts.
@article{article, year = {2017}, pages = {106-107}, keywords = {category learning, learning conditions, classification accuracy, metacognitive monitoring, item similarity}, isbn = {978-86-6065-434-4}, title = {The influence of category learning condition on metacognitive monitoring of categorization tasks}, keyword = {category learning, learning conditions, classification accuracy, metacognitive monitoring, item similarity}, publisher = {Filozofski fakultet Univerziteta u Novom Sadu}, publisherplace = {Novi Sad, Srbija} }