Factors Associated with Course Withdrawal and Final Course Grade in an Introductory Animal Science Course.

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Title: Factors Associated with Course Withdrawal and Final Course Grade in an Introductory Animal Science Course.
Authors: Burk, Steffanie V.1, Rossano, Mary G.1, Silvia, William J.1, Vanzant, Eric S.1, Pescatore, Anthony J.1, Harmon, Robert J.1
Source: NACTA Journal. Jun2013, Vol. 57 Issue 2, p16-23. 8p.
Subject Terms: *Zoology education, *Home & school, *Public schools, *Critical thinking
Geographic Terms: United States
Abstract: During a time of changing student demographics, it is necessary to examine factors associated with student success so that faculty can provide an environment supportive to student learning. The objective of this study was to identify factors associated with course withdrawal and course grade percentage in an introductory animal science course. Data were collected on 405 participating University of Kentucky students in two semesters of Domestic Animal Biology. During the first several weeks of the semester, students completed a demographic survey, background knowledge test and California Critical Thinking Skills Test (CCTST). Multiple logistic regression found that (1) high school GPA below 3.5, (2) residing in Kentucky longer than out-of-state and (3) being a non-traditional student were associated with increased odds of course withdrawal when adjusted for other variables within the model (p<0.05). Multiple linear regression found that (1) having a high school GPA above 3.5, (2) CCTST percentile rank in the top third, (3) attending private high school/homeschooling, (4) participating in agricultural clubs, or (5) coming from a suburban or rural non-farm home were associated with higher adjusted mean course grade percentages (p<0.05). Further research is needed to identify reasons for associations and develop strategies to assist at-risk students. [ABSTRACT FROM AUTHOR]
Copyright of NACTA Journal is the property of North American Colleges & Teachers of Agriculture and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: During a time of changing student demographics, it is necessary to examine factors associated with student success so that faculty can provide an environment supportive to student learning. The objective of this study was to identify factors associated with course withdrawal and course grade percentage in an introductory animal science course. Data were collected on 405 participating University of Kentucky students in two semesters of Domestic Animal Biology. During the first several weeks of the semester, students completed a demographic survey, background knowledge test and California Critical Thinking Skills Test (CCTST). Multiple logistic regression found that (1) high school GPA below 3.5, (2) residing in Kentucky longer than out-of-state and (3) being a non-traditional student were associated with increased odds of course withdrawal when adjusted for other variables within the model (p&lt;0.05). Multiple linear regression found that (1) having a high school GPA above 3.5, (2) CCTST percentile rank in the top third, (3) attending private high school/homeschooling, (4) participating in agricultural clubs, or (5) coming from a suburban or rural non-farm home were associated with higher adjusted mean course grade percentages (p&lt;0.05). Further research is needed to identify reasons for associations and develop strategies to assist at-risk students. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of NACTA Journal is the property of North American Colleges &amp; Teachers of Agriculture and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Text: English
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              Text: Jun2013
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