Academic Journal

Conducting Problem-Based Learning Meta-Analysis: Complexities, Implications, and Best Practices

التفاصيل البيبلوغرافية
العنوان: Conducting Problem-Based Learning Meta-Analysis: Complexities, Implications, and Best Practices
اللغة: English
المؤلفون: Andrew Walker, Heather Leary
المصدر: Interdisciplinary Journal of Problem-based Learning. 2023 17(2).
الاتاحة: 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
تاريخ النشر: 2023
نوع الوثيقة: Journal Articles
Information Analyses
Descriptors: Problem Based Learning, Meta Analysis, Teaching Methods, Inquiry, Active Learning, Measurement Techniques, Best Practices, Barriers, Comparative Analysis
تدمد: 1541-5015
مستخلص: 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
رقم الانضمام: EJ1434794
قاعدة البيانات: ERIC