Conducting Problem-Based Learning Meta-Analysis: Complexities, Implications, and Best Practices
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| Title: | Conducting Problem-Based Learning Meta-Analysis: Complexities, Implications, and Best Practices |
|---|---|
| Language: | English |
| Authors: | Andrew Walker, Heather Leary |
| Source: | Interdisciplinary Journal of Problem-based Learning. 2023 17(2). |
| Availability: | Indiana University. 107 South Indiana Avenue, Bryan Hall 203B, Bloomington, IN 47405. Tel: 317-274-5647; Fax: 317-278-2360; Web site: https://scholarworks.iu.edu/journals/index.php/ijpbl/index |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Problem Based Learning, Meta Analysis, Teaching Methods, Inquiry, Active Learning, Measurement Techniques, Best Practices, Barriers, Comparative Analysis |
| ISSN: | 1541-5015 |
| Abstract: | Almost fifty years ago, Barrows (1986) claimed that problem-based learning (PBL) was broad enough that a single methodological description was not possible. It has only grown more complex since. In addition to meaningful variations of PBL, there are several related problem-centered pedagogies, such as case-based learning, project-based learning, and inquiry-based learning, among others. Even within PBL, primary research is conducted using a wide variation of measurement approaches, with diverse audiences, in a myriad of disciplines. The inherent complexity of PBL research can present some unique challenges to meta-analysis, such as multiple definitions of "control groups." PBL research also intersects with common meta-analysis challenges such as preexperimental, and multiple treatment designs. This article will explore best practices for conducting meta-analysis using a modest expansion of data and new analyses based on Leary et al. (2013). Readers will see major sections of a meta-analysis alongside a running worked example, enabling a discussion of meta-analytic methods unique to a PBL context. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1434794 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Conducting Problem-Based Learning Meta-Analysis: Complexities, Implications, and Best Practices – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Andrew+Walker%22">Andrew Walker</searchLink><br /><searchLink fieldCode="AR" term="%22Heather+Leary%22">Heather Leary</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Interdisciplinary+Journal+of+Problem-based+Learning%22"><i>Interdisciplinary Journal of Problem-based Learning</i></searchLink>. 2023 17(2). – Name: Avail Label: Availability Group: Avail Data: Indiana University. 107 South Indiana Avenue, Bryan Hall 203B, Bloomington, IN 47405. Tel: 317-274-5647; Fax: 317-278-2360; Web site: https://scholarworks.iu.edu/journals/index.php/ijpbl/index – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2023 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Information Analyses – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Problem+Based+Learning%22">Problem Based Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Meta+Analysis%22">Meta Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Inquiry%22">Inquiry</searchLink><br /><searchLink fieldCode="DE" term="%22Active+Learning%22">Active Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+Techniques%22">Measurement Techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Best+Practices%22">Best Practices</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1541-5015 – Name: Abstract Label: Abstract Group: Ab Data: Almost fifty years ago, Barrows (1986) claimed that problem-based learning (PBL) was broad enough that a single methodological description was not possible. It has only grown more complex since. In addition to meaningful variations of PBL, there are several related problem-centered pedagogies, such as case-based learning, project-based learning, and inquiry-based learning, among others. Even within PBL, primary research is conducted using a wide variation of measurement approaches, with diverse audiences, in a myriad of disciplines. The inherent complexity of PBL research can present some unique challenges to meta-analysis, such as multiple definitions of "control groups." PBL research also intersects with common meta-analysis challenges such as preexperimental, and multiple treatment designs. This article will explore best practices for conducting meta-analysis using a modest expansion of data and new analyses based on Leary et al. (2013). Readers will see major sections of a meta-analysis alongside a running worked example, enabling a discussion of meta-analytic methods unique to a PBL context. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1434794 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 14 Subjects: – SubjectFull: Problem Based Learning Type: general – SubjectFull: Meta Analysis Type: general – SubjectFull: Teaching Methods Type: general – SubjectFull: Inquiry Type: general – SubjectFull: Active Learning Type: general – SubjectFull: Measurement Techniques Type: general – SubjectFull: Best Practices Type: general – SubjectFull: Barriers Type: general – SubjectFull: Comparative Analysis Type: general Titles: – TitleFull: Conducting Problem-Based Learning Meta-Analysis: Complexities, Implications, and Best Practices Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Andrew Walker – PersonEntity: Name: NameFull: Heather Leary IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1541-5015 Numbering: – Type: volume Value: 17 – Type: issue Value: 2 Titles: – TitleFull: Interdisciplinary Journal of Problem-based Learning Type: main |
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