Applications of Generative Learning for the Survey of International Economics Course.

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Title: Applications of Generative Learning for the Survey of International Economics Course.
Authors: Sharp, David C.1 david.sharp@usm.edu, Knowlton, Dave S.2, Weiss, Renée E.2
Source: Journal of Economic Education. Fall2005, Vol. 36 Issue 4, p345-357. 13p.
Subject Terms: *Learning, *Curriculum, *Teaching methods, *Economics students, *Education, International economic relations, Self-reliance
Abstract: Generative learning provides students with opportunities to organize course content, integrate new content with students' current knowledge, and elaborate on course content by making connections to real-world events. These opportunities promote less reliance on professors' lectures and simultaneously create more self-reliance among students. The authors offer categories of generative learning strategies and briefly discuss their merits. They offer ideas for implementing generative strategies into the day-to-day events of an economics course. Although the authors use a survey of international economics course as their example, the ideas in this article could be applied in a variety of economics courses. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Economic 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: Applications of Generative Learning for the Survey of International Economics Course.
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  Data: <searchLink fieldCode="AR" term="%22Sharp%2C+David+C%2E%22">Sharp, David C.</searchLink><relatesTo>1</relatesTo><i> david.sharp@usm.edu</i><br /><searchLink fieldCode="AR" term="%22Knowlton%2C+Dave+S%2E%22">Knowlton, Dave S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Weiss%2C+Renée+E%2E%22">Weiss, Renée E.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Economic+Education%22">Journal of Economic Education</searchLink>. Fall2005, Vol. 36 Issue 4, p345-357. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Curriculum%22">Curriculum</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br />*<searchLink fieldCode="DE" term="%22Economics+students%22">Economics students</searchLink><br />*<searchLink fieldCode="DE" term="%22Education%22">Education</searchLink><br /><searchLink fieldCode="DE" term="%22International+economic+relations%22">International economic relations</searchLink><br /><searchLink fieldCode="DE" term="%22Self-reliance%22">Self-reliance</searchLink>
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  Data: Generative learning provides students with opportunities to organize course content, integrate new content with students' current knowledge, and elaborate on course content by making connections to real-world events. These opportunities promote less reliance on professors' lectures and simultaneously create more self-reliance among students. The authors offer categories of generative learning strategies and briefly discuss their merits. They offer ideas for implementing generative strategies into the day-to-day events of an economics course. Although the authors use a survey of international economics course as their example, the ideas in this article could be applied in a variety of economics courses. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Economic 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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RecordInfo BibRecord:
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        Value: 10.3200/JECE.36.4.345-357
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 345
    Subjects:
      – SubjectFull: Learning
        Type: general
      – SubjectFull: Curriculum
        Type: general
      – SubjectFull: Teaching methods
        Type: general
      – SubjectFull: Economics students
        Type: general
      – SubjectFull: Education
        Type: general
      – SubjectFull: International economic relations
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      – SubjectFull: Self-reliance
        Type: general
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      – TitleFull: Applications of Generative Learning for the Survey of International Economics Course.
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              Text: Fall2005
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              Y: 2005
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