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Kolb Learning Styles of dancers who do and don't use dance notation compared to other fields.

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Title: Kolb Learning Styles of dancers who do and don't use dance notation compared to other fields.
Authors: Heiland, Teresa L.1 Teresa.Heiland@LMU.edu
Source: Research in Dance Education. Jul2019, Vol. 20 Issue 2, p148-173. 26p. 5 Diagrams, 9 Charts, 3 Graphs.
Subject Terms: *Kolb Learning Style Inventory, *Cognitive styles, *Continuing education, Dance notation, Labanotation
Abstract: This statistical study of 272 dancers, ages 18–96, using Kolb Learning Styles Inventory 4.0, identifies dominant learning cycles, learning styles, and learning style flexibility of the dance participants, and subgroups of notation users, and then compares these results to existing results from other disciplines. The research reveals the depth and breadth of learning cycles and styles among the dancers (notation users and non-notation users) and provides implications suggested by comparing to other disciplines. The results provide insight into the value of shifting approaches to teaching by using motif notation or structured dance notation, some of which closely match disciplines that are seemingly quite different from dance. Motif notation results hint that motif notation pushes students to be much more flexible in their learning styles. This distinction represents motif notation users' abilities to switch to a 'back up' learning style, when their dominant learning style seems not to fulfill every learning task. Structured notation users results point to ability to focus deeply into analysis. The results of this study point to two considerations for the dance classroom. Engaging in motif notation may be an ideal tool to stimulate flexibility for lifelong learning and structured notation encourages analytical skill building. [ABSTRACT FROM AUTHOR]
Copyright of Research in Dance Education is the property of Taylor & Francis Ltd 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.)
Database: Education Research Complete
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  Data: Kolb Learning Styles of dancers who do and don't use dance notation compared to other fields.
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  Data: <searchLink fieldCode="AR" term="%22Heiland%2C+Teresa+L%2E%22">Heiland, Teresa L.</searchLink><relatesTo>1</relatesTo><i> Teresa.Heiland@LMU.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Research+in+Dance+Education%22">Research in Dance Education</searchLink>. Jul2019, Vol. 20 Issue 2, p148-173. 26p. 5 Diagrams, 9 Charts, 3 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22Kolb+Learning+Style+Inventory%22">Kolb Learning Style Inventory</searchLink><br />*<searchLink fieldCode="DE" term="%22Cognitive+styles%22">Cognitive styles</searchLink><br />*<searchLink fieldCode="DE" term="%22Continuing+education%22">Continuing education</searchLink><br /><searchLink fieldCode="DE" term="%22Dance+notation%22">Dance notation</searchLink><br /><searchLink fieldCode="DE" term="%22Labanotation%22">Labanotation</searchLink>
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  Data: This statistical study of 272 dancers, ages 18–96, using Kolb Learning Styles Inventory 4.0, identifies dominant learning cycles, learning styles, and learning style flexibility of the dance participants, and subgroups of notation users, and then compares these results to existing results from other disciplines. The research reveals the depth and breadth of learning cycles and styles among the dancers (notation users and non-notation users) and provides implications suggested by comparing to other disciplines. The results provide insight into the value of shifting approaches to teaching by using motif notation or structured dance notation, some of which closely match disciplines that are seemingly quite different from dance. Motif notation results hint that motif notation pushes students to be much more flexible in their learning styles. This distinction represents motif notation users' abilities to switch to a 'back up' learning style, when their dominant learning style seems not to fulfill every learning task. Structured notation users results point to ability to focus deeply into analysis. The results of this study point to two considerations for the dance classroom. Engaging in motif notation may be an ideal tool to stimulate flexibility for lifelong learning and structured notation encourages analytical skill building. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Research in Dance Education is the property of Taylor & Francis Ltd 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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/14647893.2019.1593345
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        Text: English
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      – SubjectFull: Continuing education
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