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Temperament and Individual Differences in Category Learning.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Temperament and Individual Differences in Category Learning./
作者:
Zhu, Tianshu.
面頁冊數:
1 online resource (163 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
Contained By:
Dissertations Abstracts International84-05A.
標題:
Neurobiology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29440115click for full text (PQDT)
ISBN:
9798352967638
Temperament and Individual Differences in Category Learning.
Zhu, Tianshu.
Temperament and Individual Differences in Category Learning.
- 1 online resource (163 pages)
Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
Thesis (Ph.D.)--The University of Western Ontario (Canada), 2022.
Includes bibliographical references
Objectives. Individuals can differ in their strategic approach in learning the same categorization task, researchers have sought to study what specific stable individual differences traits can help explain these differences. This dissertation first surveyed extant literature on the impact of trait differences on category learning then examined the effect of temperament traits on these dependent variables. Chapter 2 (scoping review): This scoping review synthesized the past literature that examined the relationship between sources of stable individual differences and category learning performance and strategy use outcomes. Five database platforms were searched to identify relevant articles, cross-referencing was also performed. Sixty-nine studies met inclusion criteria with 3 major sources of individual differences identified: (1) developmental, (2) aging, (3) working memory. The results of this scoping review suggest that (1) children tend to show both performance and task-appropriate strategy-use disadvantage in both rule-based and similarity-based category learning tasks compared to young adults. (2) Older adults also showed a performance disadvantage, but results were less consistent with regards to whether they used different strategies than young adults. (3) Working memory was associated with better performance on both types of tasks, but it was not associated with strategy choice on rule-based tasks, and results were inconsistent in terms of strategy choice on similarity-based tasks. Chapter 3 (two studies): In two studies, I examined affective temperament traits to see whether the tendency to experience negative and positive affect is predictive of category learning performance and strategy use. Temperamental effortful control and working memory were measured as covariates. There were minimal effects of affective temperament traits and temperamental effortful control may be negatively associated with learning on both types of category learning. Working memory may be positively associated with learning on both types of category learning. However, these findings were not consistent across studies. The results may either reflect a lack of relationship or low data quality due to the pandemic. Conclusions: Neither previous studies nor the present dissertation provided a firm answer to the mystery behind individual differences in category learning strategy use. Future research should replicate the studies in Chapter 3 of this dissertation in the laboratory to see whether temperament effects would emerge.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798352967638Subjects--Topical Terms:
588707
Neurobiology.
Index Terms--Genre/Form:
542853
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Objectives. Individuals can differ in their strategic approach in learning the same categorization task, researchers have sought to study what specific stable individual differences traits can help explain these differences. This dissertation first surveyed extant literature on the impact of trait differences on category learning then examined the effect of temperament traits on these dependent variables. Chapter 2 (scoping review): This scoping review synthesized the past literature that examined the relationship between sources of stable individual differences and category learning performance and strategy use outcomes. Five database platforms were searched to identify relevant articles, cross-referencing was also performed. Sixty-nine studies met inclusion criteria with 3 major sources of individual differences identified: (1) developmental, (2) aging, (3) working memory. The results of this scoping review suggest that (1) children tend to show both performance and task-appropriate strategy-use disadvantage in both rule-based and similarity-based category learning tasks compared to young adults. (2) Older adults also showed a performance disadvantage, but results were less consistent with regards to whether they used different strategies than young adults. (3) Working memory was associated with better performance on both types of tasks, but it was not associated with strategy choice on rule-based tasks, and results were inconsistent in terms of strategy choice on similarity-based tasks. Chapter 3 (two studies): In two studies, I examined affective temperament traits to see whether the tendency to experience negative and positive affect is predictive of category learning performance and strategy use. Temperamental effortful control and working memory were measured as covariates. There were minimal effects of affective temperament traits and temperamental effortful control may be negatively associated with learning on both types of category learning. Working memory may be positively associated with learning on both types of category learning. However, these findings were not consistent across studies. The results may either reflect a lack of relationship or low data quality due to the pandemic. Conclusions: Neither previous studies nor the present dissertation provided a firm answer to the mystery behind individual differences in category learning strategy use. Future research should replicate the studies in Chapter 3 of this dissertation in the laboratory to see whether temperament effects would emerge.
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