Impact of contextual factors on the evaluation outcomes of national virtual simulation experimental teaching projects in biology and medicine

Zhengmei Zhou, Shidi Zhao, Ye Lin and Yan Li

Evaluation and Program Planning, 2024, vol. 106, issue C

Abstract: The number of applications for National Virtual Simulation Experimental Teaching Projects (NVSETPs) in China has seen a significant increase. Consequently, the influence of contextual factors and their potential personal connections on the evaluation results, whether for national or non-national NVSETPs, has become a prominent concern. In this study, we employed a modified back-chaining method using logistic regression to examine whether contextual factors in NVSETP applications could explain the evaluation outcomes. Our analysis was based on data available on the open platform of China's Ministry of Education (MOE). We identified several significant influencing factors, including the score on a five-point rating system, the number of clicks on the application page, school quality, school region, and the gender, title, and position of the applicants. Our results shed light on the impact of contextual factors on the evaluation results of NVSETPs in the fields of biology and medicine, using a modified back-chaining method. We conclude that enhancing the transparency of the assessment process and implementing standardized, detailed scoring guidelines for NVSETPs would mitigate the negative influence of contextual factors.

Keywords: China; Logistic regression; Contextual factors; Transparent evaluation (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:epplan:v:106:y:2024:i:c:s0149718924000727

DOI: 10.1016/j.evalprogplan.2024.102470

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