计算光合作用(ComPhot):研究光合作用的模拟学习平台

Sarah Philipps, Tobias Pfennig, Elouën Corvest, Marvin van Aalst, Lisa Fürtauer, Anna Matuszyńska
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引用次数: 0

摘要

研究表明,在传授复杂概念时,主动与被动学习形式各有优势(Minocha 和 Clarke,2009 年;Pluta 等人,2013 年)。因此,互动式教学工具不仅更常得到学生的积极评价,而且有助于取得更好的终身教学成果(Ang 等人,2021 年)。有鉴于此,我们为积极进取的学生和研究人员创建了独立的学习平台 ComPhot。在计算模型的支持下,它引导用户研究光合作用这一众所周知的生物过程。ComPhot 是一个无需代码、易于使用的工具,它降低了开始计算生物学之旅的门槛,让人们深入了解光合作用和光合作用建模的工作原理。这个用户友好型互动教学平台既可单独使用,也可用于支持教师按照生物教学大纲,将计算生物学或数学的概念纳入其中,展示数学在生物学中的可能应用领域。ComPhot 介绍并解释了模拟系统的生化背景以及如何将其转化为数学术语。我们提供多种教学材料,包括文字、指导性问题、视频以及最重要的模拟。在我们的模拟器中,用户只需设置和操作滑动条,即可在浏览器中进行计算光合作用建模。我们的综合方法传达了对光合作用、光保护和荧光测量的基本见解,并使用户能够通过改变光照条件或设计合成菌株来设计自己的硅学实验。该工具就像一块垫脚石,在促进参与和理解的同时,推动光合作用的研究和创新。虽然本指南是用英语编写的,但我们很荣幸能用开发者的四种语言发布该工具,以扩大受众范围:英语、德语、法语和波兰语。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Photosynthesis (ComPhot): Simulation-Based Learning Platform to Study Photosynthesis
Studies show the advantage of active versus passive learning formats in delivering complicated concepts (Minocha and Clarke, 2009; Pluta et al., 2013). Hence, interactive teaching tools are not only more often positively evaluated by students but also contribute to better life-long teaching outcomes (Ang et al., 2021). Following this evidence, we created ComPhot, a stand-alone learning platform for motivated students and researchers. It guides the user in studying photosynthesis as a well-known biological process with the support of a computational model. ComPhot is a no-code, easy-to-use tool to lower the entry bar for starting the journey across computational biology and to provide insights into how photosynthesis and modeling photosynthesis work. This user-friendly interactive teaching platform can be used individually or to support teachers following a syllabus in biology, to include the concept of computational biology or mathematics, to show the possible field of application of mathematics to biology. ComPhot introduces and explains the biochemical background of our simulated system and how to translate it into mathematical terms. We provide diverse teaching materials that include text, guiding questions, videos, and, most importantly, simulations. Within our simulators, users can perform computational photosynthesis modeling in their browser by simply setting and manipulating slider bars. Our comprehensive approach conveys fundamental insights into photosynthesis, photoprotection, and fluorescence measurements and empowers users to devise their own in silico experiments by varying light conditions or designing synthetic strains. This tool acts as a stepping stone, fostering engagement and understanding while propelling research and innovation in photosynthesis. Although this guide has been written in English, we are proud to release the tool in four of the developers’ languages to expand the audience: English, German, French, and Polish.
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