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      Application of a peer learning and assessment model in an undergraduate pharmacy course

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          Abstract

          Background

          Timely and accurate feedback is a crucial component for effective undergraduate learning. However, with the expansion of university enrolment in China, student numbers have increased rapidly and, in traditional university classrooms, it is often difficult for the teacher – as the only evaluator – to accommodate students’ diverse needs and learning styles, and provide timely learning feedback. In our teaching practice research, we combined mutual peer evaluation with cooperative learning, and proposed a peer learning and assessment model (PLAM) that encouraged students to cooperate and compete, leading to greater efficiency in giving feedback. The ultimate goal was to improve students’ learning ability. This study aimed to investigate the effect and influencing factors of PLAM in an undergraduate course entitled ‘Medicinal Chemistry of Natural Products’.

          Methods

          We surveyed the entire pharmacy student body (95 students). Each student was required to provide feedback to the other members within the same study group and students in other groups. We evaluated the effectiveness of PLAM in five aspects: basic information, learning attitude, participation, interpersonal relationship, and organizational approach. The questionnaire was administered online using the Star survey platform. Data were exported to Excel and meta-analysis was performed using SPSS.

          Results

          PLAM effectively increased feedback efficiency, enhancing students’ learning interest and ability. An ordered logistic regression analysis model was used to analyze the factors influencing the PLAM learning effect. Three factors – learning attitude, participation, and interpersonal relationship – explained up to 71.3% of the model.

          Conclusions

          The PLAM adopted in this research is an effective learning and evaluation model that can promote collaborative learning and increase learning enthusiasm. It is more suitable for knowledge expansion learning and comprehensive practical learning where teachers cannot be present for the entire process. Students should be encouraged to establish appropriate learning attitudes and a positive group atmosphere. PLAM can positively impact college curriculum learning and could be extended to other teaching domains.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12909-023-04352-8.

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          Most cited references46

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          An Introduction to Logistic Regression Analysis and Reporting

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            Understanding logistic regression analysis

            Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.
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              Trends in Peer Learning

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                Author and article information

                Contributors
                wangyi0213@ouc.edu.cn
                Journal
                BMC Med Educ
                BMC Med Educ
                BMC Medical Education
                BioMed Central (London )
                1472-6920
                22 May 2023
                22 May 2023
                2023
                : 23
                : 362
                Affiliations
                GRID grid.4422.0, ISNI 0000 0001 2152 3263, School of Medicine and Pharmacy, Laboratory for Marine Drugs and Bioproducts of Qingdao National Laboratory for Marine Science and Technology, , Ocean University of China, ; Qingdao, 266003 China
                Article
                4352
                10.1186/s12909-023-04352-8
                10204209
                37217898
                c5ec5336-a0ad-4a6e-9ff8-d166a315f24a
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 October 2022
                : 12 May 2023
                Funding
                Funded by: Key project of undergraduate education and teaching research of Ocean University of China
                Award ID: No. 2020ZD06
                Funded by: Teacher Teaching Development Fund of Ocean University of China
                Award ID: No. 2018JXJJ13
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Education
                pharmacy education in university,peer assessment,peer learning,feedback efficiency,learning ability

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