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Motivation and Statistics Anxiety among Adult Online Learners : = The Mediating Role of Self-Regulated Learning.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Motivation and Statistics Anxiety among Adult Online Learners :/
其他題名:
The Mediating Role of Self-Regulated Learning.
作者:
Hubbard, Angela.
面頁冊數:
1 online resource (141 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
Contained By:
Dissertations Abstracts International84-04A.
標題:
Educational technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29398078click for full text (PQDT)
ISBN:
9798352911013
Motivation and Statistics Anxiety among Adult Online Learners : = The Mediating Role of Self-Regulated Learning.
Hubbard, Angela.
Motivation and Statistics Anxiety among Adult Online Learners :
The Mediating Role of Self-Regulated Learning. - 1 online resource (141 pages)
Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
Thesis (Ph.D.)--Walden University, 2022.
Includes bibliographical references
Students who experience statistics anxiety have reported struggling with academic performance, an increase in academic dishonesty, and an aversion to careers or majors that are perceived to rely on statistical skills. Research has suggested that statistics anxiety is related to lower levels of motivation; however, it remains unknown if, or to what extent, self-regulated learning skills, including management of time and effort, complex cognitive strategy use, simple cognitive strategy use, contacts with others, and academic thinking may play a role in the relationship between motivation and statistics anxiety. This research study relies on the theoretical foundation of social cognitive theory, which proposes that statistics anxiety is a result of the reciprocal relationship between personal, cognitive, behavioral, and environmental influences. The purpose of this quantitative study was to explore the extent to which self-regulated learning strategies mediate the relationship between motivation and statistics anxiety in online higher education students. In this correlational research study, a mediation analysis with multiple linear regressions was used to analyze data collected from an online survey of 158 online graduate students. Most notably, management of time and effort mediated the relationship and reduced statistics anxiety for the sample. Learning strategies that were identified to mediate the relationship have implications for positive social change by influencing the design of statistics curriculum education to reduce statistics anxiety.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798352911013Subjects--Topical Terms:
517670
Educational technology.
Subjects--Index Terms:
Self-regulationIndex Terms--Genre/Form:
542853
Electronic books.
Motivation and Statistics Anxiety among Adult Online Learners : = The Mediating Role of Self-Regulated Learning.
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Students who experience statistics anxiety have reported struggling with academic performance, an increase in academic dishonesty, and an aversion to careers or majors that are perceived to rely on statistical skills. Research has suggested that statistics anxiety is related to lower levels of motivation; however, it remains unknown if, or to what extent, self-regulated learning skills, including management of time and effort, complex cognitive strategy use, simple cognitive strategy use, contacts with others, and academic thinking may play a role in the relationship between motivation and statistics anxiety. This research study relies on the theoretical foundation of social cognitive theory, which proposes that statistics anxiety is a result of the reciprocal relationship between personal, cognitive, behavioral, and environmental influences. The purpose of this quantitative study was to explore the extent to which self-regulated learning strategies mediate the relationship between motivation and statistics anxiety in online higher education students. In this correlational research study, a mediation analysis with multiple linear regressions was used to analyze data collected from an online survey of 158 online graduate students. Most notably, management of time and effort mediated the relationship and reduced statistics anxiety for the sample. Learning strategies that were identified to mediate the relationship have implications for positive social change by influencing the design of statistics curriculum education to reduce statistics anxiety.
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