Beyond Polls: Using Science and Student Data to Stimulate Learning.
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| Title: | Beyond Polls: Using Science and Student Data to Stimulate Learning. |
|---|---|
| Authors: | Loepp, Eric D.1 (AUTHOR) eric.loepp@gmail.com |
| Source: | Journal of Political Science Education. Jan-Mar2018, Vol. 14 Issue 1, p17-41. 25p. |
| Subject Terms: | *Classrooms, *Teaching, *Lectures & lecturing, Ethnology, Simulation methods & models |
| Abstract: | In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies — experiments, simulations, etc. — that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to support learning. The “data-driven classroom” is one in which original student data are collected via survey at the beginning of the course and the results presented throughout the term. Examples and case studies across multiple courses and classroom settings are used to illustrate how the method may be applied in practice. Feedback from student assessment surveys reveals strong support for the method, even among nonmajors. The article concludes with recommendations for instructors interested in creating more data-driven classrooms. [ABSTRACT FROM PUBLISHER] |
| Copyright of Journal of Political Science 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 127056475 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Beyond Polls: Using Science and Student Data to Stimulate Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Loepp%2C+Eric+D%2E%22">Loepp, Eric D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eric.loepp@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Political+Science+Education%22">Journal of Political Science Education</searchLink>. Jan-Mar2018, Vol. 14 Issue 1, p17-41. 25p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Classrooms%22">Classrooms</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching%22">Teaching</searchLink><br />*<searchLink fieldCode="DE" term="%22Lectures+%26+lecturing%22">Lectures & lecturing</searchLink><br /><searchLink fieldCode="DE" term="%22Ethnology%22">Ethnology</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies — experiments, simulations, etc. — that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to support learning. The “data-driven classroom” is one in which original student data are collected via survey at the beginning of the course and the results presented throughout the term. Examples and case studies across multiple courses and classroom settings are used to illustrate how the method may be applied in practice. Feedback from student assessment surveys reveals strong support for the method, even among nonmajors. The article concludes with recommendations for instructors interested in creating more data-driven classrooms. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Political Science 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=127056475 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/15512169.2017.1359094 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 17 Subjects: – SubjectFull: Classrooms Type: general – SubjectFull: Teaching Type: general – SubjectFull: Lectures & lecturing Type: general – SubjectFull: Ethnology Type: general – SubjectFull: Simulation methods & models Type: general Titles: – TitleFull: Beyond Polls: Using Science and Student Data to Stimulate Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Loepp, Eric D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan-Mar2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 15512169 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Journal of Political Science Education Type: main |
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