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      Blended Learning Compared to Traditional Learning in Medical Education: Systematic Review and Meta-Analysis

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          Abstract

          Background

          Blended learning, which combines face-to-face learning and e-learning, has grown rapidly to be commonly used in education. Nevertheless, the effectiveness of this learning approach has not been completely quantitatively synthesized and evaluated using knowledge outcomes in health education.

          Objective

          The aim of this study was to assess the effectiveness of blended learning compared to that of traditional learning in health education.

          Methods

          We performed a systematic review of blended learning in health education in MEDLINE from January 1990 to July 2019. We independently selected studies, extracted data, assessed risk of bias, and compared overall blended learning versus traditional learning, offline blended learning versus traditional learning, online blended learning versus traditional learning, digital blended learning versus traditional learning, computer-aided instruction blended learning versus traditional learning, and virtual patient blended learning versus traditional learning. All pooled analyses were based on random-effect models, and the I 2 statistic was used to quantify heterogeneity across studies.

          Results

          A total of 56 studies (N=9943 participants) assessing several types of learning support in blended learning met our inclusion criteria; 3 studies investigated offline support, 7 studies investigated digital support, 34 studies investigated online support, 8 studies investigated computer-assisted instruction support, and 5 studies used virtual patient support for blended learning. The pooled analysis comparing all blended learning to traditional learning showed significantly better knowledge outcomes for blended learning (standardized mean difference 1.07, 95% CI 0.85 to 1.28, I 2=94.3%). Similar results were observed for online (standardized mean difference 0.73, 95% CI 0.60 to 0.86, I 2=94.9%), computer-assisted instruction (standardized mean difference 1.13, 95% CI 0.47 to 1.79, I 2=78.0%), and virtual patient (standardized mean difference 0.62, 95% CI 0.18 to 1.06, I 2=78.4%) learning support, but results for offline learning support (standardized mean difference 0.08, 95% CI –0.63 to 0.79, I 2=87.9%) and digital learning support (standardized mean difference 0.04, 95% CI –0.45 to 0.52, I 2=93.4%) were not significant.

          Conclusions

          From this review, blended learning demonstrated consistently better effects on knowledge outcomes when compared with traditional learning in health education. Further studies are needed to confirm these results and to explore the utility of different design variants of blended learning.

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          Most cited references90

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          Blended learning: Uncovering its transformative potential in higher education

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            Online eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction

            Background Health systems worldwide are facing shortages in health professional workforce. Several studies have demonstrated the direct correlation between the availability of health workers, coverage of health services, and population health outcomes. To address this shortage, online eLearning is increasingly being adopted in health professionals’ education. To inform policy–making, in online eLearning, we need to determine its effectiveness. Methods We performed a systematic review of the effectiveness of online eLearning through a comprehensive search of the major databases for randomised controlled trials that compared online eLearning to traditional learning or alternative learning methods. The search period was from January 2000 to August 2013. We included articles which primarily focused on students' knowledge, skills, satisfaction and attitudes toward eLearning and cost-effectiveness and adverse effects as secondary outcomes. Two reviewers independently extracted data from the included studies. Due to significant heterogeneity among the included studies, we presented our results as a narrative synthesis. Findings Fifty–nine studies, including 6750 students enrolled in medicine, dentistry, nursing, physical therapy and pharmacy studies, met the inclusion criteria. Twelve of the 50 studies testing knowledge gains found significantly higher gains in the online eLearning intervention groups compared to traditional learning, whereas 27 did not detect significant differences or found mixed results. Eleven studies did not test for differences. Six studies detected significantly higher skill gains in the online eLearning intervention groups, whilst 3 other studies testing skill gains did not detect differences between groups and 1 study showed mixed results. Twelve studies tested students' attitudes, of which 8 studies showed no differences in attitudes or preferences for online eLearning. Students' satisfaction was measured in 29 studies, 4 studies showed higher satisfaction for online eLearning and 20 studies showed no difference in satisfaction between online eLearning and traditional learning. Risk of bias was high for several of the included studies. Conclusion The current evidence base suggests that online eLearning is equivalent, possibly superior to traditional learning. These findings present a potential incentive for policy makers to cautiously encourage its adoption, while respecting the heterogeneity among the studies.
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              Virtual patients: a critical literature review and proposed next steps.

              The opposing forces of increased training expectations and reduced training resources have greatly impacted health professions education. Virtual patients (VPs), which take the form of interactive computer-based clinical scenarios, may help to reconcile this paradox. We summarise research on VPs, highlight the spectrum of potential variation and identify an agenda for future research. We also critically consider the role of VPs in the educational armamentarium. We propose that VPs' most unique and cost-effective function is to facilitate and assess the development of clinical reasoning. Clinical reasoning in experts involves a non-analytical process that matures through deliberate practice with multiple and varied clinical cases. Virtual patients are ideally suited to this task. Virtual patients can also be used in learner assessment, but scoring rubrics should emphasise non-analytical clinical reasoning rather than completeness of information or algorithmic approaches. Potential variations in VP design are practically limitless, yet few studies have rigorously explored design issues. More research is needed to inform instructional design and curricular integration. Virtual patients should be designed and used to promote clinical reasoning skills. More research is needed to inform how to effectively use VPs.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                August 2020
                10 August 2020
                : 22
                : 8
                : e16504
                Affiliations
                [1 ] Diagnosis and Therapeutic Center, Hypertension and Cardiovascular Prevention Unit Hôtel-Dieu Hospital, Assistance Publique–Hôpitaux de Paris Paris-Descartes University Paris France
                [2 ] Cochin University Hospital Paris France
                Author notes
                Corresponding Author: Alexandre Vallée alexandre.g.vallee@ 123456gmail.com
                Author information
                https://orcid.org/0000-0001-9158-4467
                https://orcid.org/0000-0003-4860-4279
                https://orcid.org/0000-0003-3258-4672
                https://orcid.org/0000-0003-0559-6301
                Article
                v22i8e16504
                10.2196/16504
                7445617
                32773378
                8cd6b15b-595f-42f5-a73f-c6681132696a
                ©Alexandre Vallée, Jacques Blacher, Alain Cariou, Emmanuel Sorbets. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.08.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 4 October 2019
                : 30 October 2019
                : 7 November 2019
                : 13 November 2019
                Categories
                Review
                Review

                Medicine
                blended learning,virtual patients,online learning,computer-aided instruction,traditional learning,meta-analysis

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