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      Implications of immersive scheduling for student achievement and feedback

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          User's guide to correlation coefficients

          When writing a manuscript, we often use words such as perfect, strong, good or weak to name the strength of the relationship between variables. However, it is unclear where a good relationship turns into a strong one. The same strength of r is named differently by several researchers. Therefore, there is an absolute necessity to explicitly report the strength and direction of r while reporting correlation coefficients in manuscripts. This article aims to familiarize medical readers with several different correlation coefficients reported in medical manuscripts, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients.
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            The Power of Feedback

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              Active learning increases student performance in science, engineering, and mathematics.

              To test the hypothesis that lecturing maximizes learning and course performance, we metaanalyzed 225 studies that reported data on examination scores or failure rates when comparing student performance in undergraduate science, technology, engineering, and mathematics (STEM) courses under traditional lecturing versus active learning. The effect sizes indicate that on average, student performance on examinations and concept inventories increased by 0.47 SDs under active learning (n = 158 studies), and that the odds ratio for failing was 1.95 under traditional lecturing (n = 67 studies). These results indicate that average examination scores improved by about 6% in active learning sections, and that students in classes with traditional lecturing were 1.5 times more likely to fail than were students in classes with active learning. Heterogeneity analyses indicated that both results hold across the STEM disciplines, that active learning increases scores on concept inventories more than on course examinations, and that active learning appears effective across all class sizes--although the greatest effects are in small (n ≤ 50) classes. Trim and fill analyses and fail-safe n calculations suggest that the results are not due to publication bias. The results also appear robust to variation in the methodological rigor of the included studies, based on the quality of controls over student quality and instructor identity. This is the largest and most comprehensive metaanalysis of undergraduate STEM education published to date. The results raise questions about the continued use of traditional lecturing as a control in research studies, and support active learning as the preferred, empirically validated teaching practice in regular classrooms.
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                Author and article information

                Contributors
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                Journal
                Studies in Higher Education
                Studies in Higher Education
                Informa UK Limited
                0307-5079
                1470-174X
                July 03 2023
                February 28 2023
                July 03 2023
                : 48
                : 7
                : 1123-1136
                Affiliations
                [1 ]Academic Portfolio Office, Southern Cross University, Lismore, Australia
                [2 ]Office of the Vice Chancellor, Southern Cross University, Lismore, Australia
                Article
                10.1080/03075079.2023.2184472
                905b388e-805d-4724-b3e3-777fa64ef18b
                © 2023

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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